Have you considered not doing that? It's not obligatory to have an LLM shit out unreviewed code for you, you're making a choice to do that, and you can make a choice not to.
Review the code. Hell, maybe even write some code yourself.
What you're describing is how I feel whenever I use an LLM for anything more than the most basic of tasks. I've gone from being a senior level software developer to managing a barely competent junior developer who's only redeeming skill is the ability to type really, really quickly. I quit the management track some time ago because I hated doing all my software development via the medium of design documents which would then be badly implemented by people who didn't care, there's no way you're going to get me to volunteer for that.
"who's only redeeming skill is the ability to type really, really quickly" This really resonates. Here’s the hard truth: AI coding assistants are like giving devs a faster keyboard. Sure, they type faster—but typing was never the bottleneck.
And while AI often produces high-quality code on the surface, when things go wrong, they take longer to fix. MTTR for AI-generated code is much higher, especially when devs don’t fully grok the code they accepted. That undercuts a lot of the perceived velocity gains, especially in complex, evolving systems.
I take a hybrid approach. I will describe a simplified problem to the LLM, have it generate a well commented and reasonable approach for the problem. I then use that as a cheat sheet for implementing my actual code. This still gives me hands on codi and more control, without needing to agonize over the details of each coding technique.
I know if I leet code ground myself into the dirt, I’d get better, and more importantly: faster.
But there’s never been any payoff to me full-time coding.. not when the pay is close to coding, and my role wants me to address test tech debt or Nice To Haves tooling, and (until Go) I had to do my 9-5 work in a scripting language…
There’s now more days behind me than ahead, and I no longer want to understand low level details and theories about the kernel or TTY.
All progress is built on abstraction. It has to be.
Not OP, but you nailed my feelings perfectly. I did not like managing for precisely this reason, and it never got better. The trenches are for me.
Re LLMs I love collaborative coding because I can sometimes pick up or teach new tricks. If I'm too tired to type the boilerplate I sometimes use an LLM. These are the only two redeeming values of LLM agents: they produce code or designs I can start from when I ask them too. I rarely do.
I hope OP can find a balance that works. It's sad to see the (claimed) state of the art be a soulless crank we have to turn.
I’ve been writing oversized shell scripts for ages, often just for the moment in Bash.
Then if I need something similar for a Dockerfile, I’d write that also. The duplication is a sad feeling.
So I described what I wanted, /bin/sh with posix, detailed what both scripts do, and it merged both scripts without ever seeing their full codebases! (Both for work and my own code, I never share code unless it’s already in a public repository)
I fired up ShellCheck linter and zero issues. At work I Replaced both tech-debt laden scripts with a repo and people said they’d use it too, NICE cleanup, and how long did it take? :-)
Relating back to OP, that sounds like an early win on a long campaign to boredom. I hope you continue to enjoy it though, there certainly nothing inevitable about ennui.
How large of an idea can you implement by yourself as opposed to leading a team?
I can and have lead discovery sessions either virtually or hop on plane and do it in person, design the architecture, be a halfway decent project manager, tech lead, hands on development, take an empty AWS account and set up best practices from a security, networking, deployment pipelines, etc.
But I can’t do it all at once and there is still only so much I can do at once and no business would be happy with the length of time it would take me or any one person to do a complex implementation at scale. At some point, if you have big ideas, you have to lead projects.
However LLMs make a damn good and fast junior developer that can do it all especially on a green field project with clear requirements and the amount of work I can get done now by myself on each of those levels - post requirement gathering is at least 2x - 3x.
And I am not bragging - I’m old. I should be able to do all of things I mentioned.
Code is an implementation detail. My job has always been to get computers to do stuff to either make the computer money or to save the computer money either via my own hands or via leading a team.
I think you're on to something: It sounds like the developer needs to be more hands-on in making changes; as opposed to treating the AI like a subordinate with autonomy.
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For example: About two years ago I worked with a contractor who was a lot more junior than our team needed. I'd give him instructions, and then the next day spend about 2-3 hours fixing his code. In total, I was spending half of my time handholding the contractor through their project.
The problem was that I had my own assignments; and the contractor was supposed to be able to do their job with minimal oversight. (IE, roughly 0.5-1.5 hours of my day.)
If the contractor was helping me with my assignment; IE, if the contractor was my assistant, I'd have loved the arrangement.
(In case you're wondering how it ended up for the contractor, we let him go and hired someone who worked out great.)
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I suspect if the OP can figure out how to make the AI an assistant, instead of an employee with autonomy, then it will be a better arrangement. I personally haven't found an AI that does that for me, but I suspect I'm either using it incorrectly or using the wrong tools.
If you haven’t done so, try changing your prompt styles. It’s an assistant for me but I’m finding it needs less and less babysitting. What I just tried:
Ask it first to plan out a project you briefly described, focus on the planning, file structure is ok but no coding. Tell it what functionality is integrated, or what what should become a standalone module. Ask it to summarize.
I then start a new chat for the code, and tell it follow the summary. Tell it “before you make code, ask questions if there is commonly another way to do this.
Chances are you’ve done this way more than me and tried variations of this. But it’s working here as an assistant. I’m now doing wIdk I wasn’t hired for, and people are happy.
> managing a barely competent junior developer who's only redeeming skill is the ability to type really, really quickly
Hits the nail on the head. For an actual junior developer, they'd at least learn over time. With LLM, open up a new chat and you start with a new hire.
Maybe everyone will now expect you to complete tasks as early as possible. They might also be evaluating the time needed to finish tasks, considering the help from AI.
Technology is about efficiency, and for people to adopt it you need to be 10x more efficient. LLMs took a 15 years process of burning out, and shortened it to 1.5 years.
I feel the opposite. I appreciate the ability to iterate and prototype in a way which lowers friction. Sure I have to plan steps out ahead of time, but that's expected with any kind of software architecture. The stimulating part is the design and thought and learning, not digging the ditch.
If you're just firing off prompts all day with no design/input, yea I'm sure that sucks. You might as well "push the big red button" all day.
> If it fails, I just switch to another model—and usually, one of them gets the job done.
This is a huge red flag that you have no idea what you're doing at the fundamental software architecture level imo. Or at least you have bad process (prior to LLMs).
> I feel the opposite. I appreciate the ability to iterate and prototype in a way which lowers friction.
I feel the same way. Things I like: Thinking about architectures and algorithms. Things I don't like: Starting out with a blank slate, looking up the exact function names or parameters. I find it much easier to take something roughly implemented and improve upon it than to start from nothing and build it.
I think about what I want fairly specifically. I discuss it with the LLM. It implements something. Half of the time it's what I expect, I can move on. Sometimes it's done something I wasn't expecting in a better way, which is nice. Frequently it's done something I wasn't expecting in a worse way; I either tell it to fix it, or just fix it myself.
In my previous role, I did a huge amount of patch review, which I always found quite tedious. Even though this looks superficially similar, it doesn't have the same vibe at all. I think it's because the LLM will accept being told what to do in a way no self-respecting coder would. (One complaint I'd heard about another person's reviews was that the person whose code was reviewed felt like they were a marionette, just typing exactly what the reviewer told them to type.)
This way I can do the things I enjoy, while neither having to worry about some human being's feelings, nor having to do the low-level stuff that's a chore.
As the saying goes, mathematics is not a spectator sport. The same applies to programming. If you don't do the lower level work, you are a spectator that is rearranging other people's laundered code, or even their laundered architectures.
> This is a huge red flag that you have no idea what you're doing at the fundamental software architecture level imo. Or at least you have bad process (prior to LLMs).
Particularly in the present. If any of the current models can consistently make senior-level decisions I'd like to know which ones they are. They're probably going to cross that boundary soon, but they aren't there yet. They go haywire too often. Anyone who codes only using the current generation of LLM without reviewing the code is surely capping themselves in code quality in a way that will hurt maintainability.
The typical approach is to prompt an LLM model with an outline of what the problem is and let it write the code itself by giving it file (+ maybe some other things) access. You could look into software packages like Windsurf (as original post) or the Cline extension for VS Code which are both pretty good at this sort of thing.
They perform at what I'd estimate is a mid programmer's level right now and are rapidly improving in quality.
"Add a sidebar to the side that tracks where we are in the document".
"Move all elements in area A into a split screen view with those elements at the left hand side and the remaining elements in the right hand side"
The above sort of thing can be painful to do manually. Changing a layout which can have 100's of elements and moving everything across to the new layout structure. Often you can waste a day tweaking it in various ways. LLMs are actually pretty amazing at it since it's a job where you "put old things from one context into a new context" and that's basically what they do. As in AI has saved me some of the biggest pain points and allowed me to focus on the meatier aspects of the code (which it's not so good at).
I always enjoyed problem solving, and programming was more of a means to that end for me. These days, focusing on syntax feels a bit tedious, especially when LLMs can handle so much of it. That being said, I still find myself obsessing over code quality, reading and reviewing code, and thinking a lot about architecture and best practices. I still get a lot of satisfaction from building things well, even if the actual mechanics of typing out code aren't always the most exciting part.
Many of us will make that shift effectively, sure. I think the problem is that to really be a good architect, you need 10+ years of actually doing things to understand what should/should not be built, and the industry is rapidly removing the jobs that let people acquire that experience.
Yeah I would recommend avoiding LLM's while learning to anyone new to programming, because I have experience with meticulously rewriting code until I was happy with it's performance, conciseness and readability I can see when an LLM is writing something that could be improved and just gently nudge it in that direction and it resolves the issue.
Is AI genuinely that good for you all? I can't leave it to its own devices, I have to review everything because (from experience) I don't trust it. I think it's an amazing technological advancement, perhaps will go down as one of the top 10 in the history of our species. But I can't just "fire and forget".
And that's not just because its output is often not the best, but also because by doing it myself it causes me to think deeply about the problem, come up with a better solution that considers edge cases. Furthermore, it gives me knowledge in my head about that project that helps me for the next change.
I see comments here where people seem to have eliminated almost all of their dev work, and it makes me wonder what I'm doing wrong.
I'm in the same boat: I'm mostly doing C# in Visual Studio (classic) with co-pilot, and it very rarely gives useful code from prompts. Often times the auto-suggestions are hallucinations, and frequently they interfere with "normal" tab completion.
I'm wondering if I'm using the wrong tool, or if Visual Studio (classic) co-pilot is just far behind industry norms?
The main problem I have with auto-suggestions is that they distract my flow of thinking. Suddenly, I go from thinking about my code carefully, to reviewing someone else's code. To the point where I get a bit stressed typing, worrying that if I go too slow, the suggestion will pop up. As you may guess, I therefore have them turned off :)
I am playing with Zed now though, and it has a "subtle" mode for suggestions which is great. When I explicitly want to see them, I press option key. Otherwise, I don't see them.
I felt the same way until I tried Claude Code. Moving from an autocomplete-based workflow to a conversation-based workflow changed everything. I find traditional Copilot useless by comparison.
Use it as someone you are working with / talking with. Not as auto complete. You need to reframe your work a bit to have best results interacting w/ llms
I don’t think you’re doing anything wrong. Some shops just have very low quality bars where they can ship things that are to be frank, broken. I tend to use Sonnet 4 these days, and use it for tasks that aren’t too important or ones that require prototyping and iteration over perfection.
I find it’s really great for augmenting specific kinds of concentrated tasks. But just like you, I have to review everything it creates. Even Claude Opus 4 on MAX produces many bugs on a regular basis that I fix before merging in a change. I don’t mind it though, as I can choose to use it on the most annoying areas, and leave the ones I enjoy to work on myself.
I think it depends on your niche and model. Gemini pro worked amazing for me in when doing (relatively simple) graph algorithms in python, but completely sucked when I switched to (relatively complicated) latex layouts.
What I have found is that using LLM’s to do the same stuff I already knew how to do is not super enjoyable. I know web application development, and having some agent build it for me is just a productivity gain with no job satisfaction. So I’ve been where you are recently.
But on the flip-side, using the AI to help me learn the bits of programming that I’ve spent my whole career ignoring, like setting up DevOps pipelines or containerisation, has been very enjoyable indeed. Pre-AI the amount of hassle I’d have to go through to get the syntax right and the infrastructure set up was just prohibitively annoying. But now that so much of the boilerplate is just done for me, and now that I’ve got a chat window I can use to ask all my stupid questions, it’s all clicking into place. And it’s like discovering a new programming paradigm all over again.
Can 100% recommend stepping outside your comfort zone and using AI to help where you didn’t want to go before.
Vibe coding sounds miserable. I use LLMs pretty heavily but never as a replacement for my own mind. I'm glad it exists for the people who can't program but it's much less pleasant than being explicit myself.
For me, vibe coding is becoming more of a niche. I still use it but not that often. I prefer the Codex style workflow in which you do spent a lot more time on specifying things, providing examples and reviewing PRs.
Essentially, vibe coding is synchronous as it is necessary to wait around for the LLM to respond. Codex is async and allows you to focus on other things while it is working. The primary issue with async workflows is you really don't want to have to iterate much. Therefore, investing more time upfront clearly defining the prompt / agents.md and prior examples becomes really important. Usually if it is > 90% correct I will just fix the rest myself. For hand coding, I use a fairly basic vim setup with no LLM plugins. I do not like LLMs jumping in and trying to auto complete stuff.
Many of us are adopting AI tools at different paces but that is the giant theme going on with software developers at the moment.
In some level, I feel excited that the game has reset and anyone is having the opportunity to get 10x better or becoming irrelevant. It's about how one would leverage these tools, how to use them rights etc.
It's all about who can adapt better, who can evolve to say on top, which has always been the case in the big picture.
For example, I see myself:
- "loose" the way I view "scalable code" in PR reviews
- focusing less on programming styles
- have new expectation about my productivity. (I tell myself with the tools I should 2x done than before, and challenge myself to get it done. In that process, you find a way to effectively use the tools)
- etc.
I actually find joy in this process. Just sharing my story, no pun intended :)
AI is going to do most of the coding in a very short time. That's a fact. The opportunities are going to come to those who know how to prompt the AI and hold it accountable.
So yes, you're no longer going to be the hero for the code you type out.
But you CAN be the hero for being the Senior Developer or Project Manager who know what needs to be done and knows how to get the AI to do it right the first time.
I actually got out of coding a number of years ago because I was tired of keeping up with the latest changes in languages, standards, best practices, etc.
When AI became a thing over the past couple of years, I decided to try again ... and I'm actually enjoying it a whole lot more. I make a lot more progress a lot faster, which means I get to see faster results.
You can't control the direction that coding is going. It will go where it goes. But you can control how you think and feel about it. So what choice will you make?
>Recently, I realised I no longer enjoy programming.
You don't? Sounds to me like you just don't enjoy prompting. Try doing some programming again. Engage your brain with a challenge and try to solve the problem itself not just explain it to an ai and never even look at the code. You enjoy the driving not the destination, getting a taxi there is removing your purpose.
I had to rip all the LLM crap out of my editor to feel like I was doing anything. My programming ability has gotten better and if I do actually need to use an LLM I just open ChatGPT, DeepSeek, or punch stuff into Ollama.
The majority of what I end up using langle mangles for is trivially verifiable but tedious to do things like "turn this Go struct into an OpenAPI Schema" or "take this protocol buffer definition and write the equivalent in Rust prost".
> At this point, I’ve even stopped reviewing the exact code changes. I just keep pushing forward until the task is done.
I think this is becoming more normal. I wrote about it [1], but I have the opposite takeaway. This makes programming for me _vastly more_ enjoyable. It might come down to the type of programming you do.
1. Do you build and ship whole products?
2. Do you work mostly on non-user facing code (backend etc)
I'd be interested to know which of these you work on.
No, I feel the exact opposite. This post makes me want to stay away from agentic coding all together. Idk about everyone else but I love programming, more than any other thing I do. I do not want to end up like this.
I can relate. I’ve been using CA:s/LLM:s for various projects for the past year. It started to take the enjoyment out of it for me too. It’s a tool like any other though, just gotta figure out how to use it correctly. For me at least, I only use CA:s now to write code I already know how it should work. So I just use it to write code I’ve already written in my head, if that makes sense. And you should always review code produced by an AI very carefully.
I feel you, but I think that if you want to make exceptional software, and not just a large volume of mediocre software, the best way is still to write code manually.
>> Recently, I realized I no longer enjoy programming. It feels like I’m just going through the pain of explaining to the LLM what I want, then sitting and waiting for it to finish.
This isn't programming. Delete the AI stuff and start programming again. It's fine to use LLM's if you want but nobody is forcing you to.
As a technical person who is not a professional programmer, but finds or makes whatever I need, LLMs (Gemini) are dizzyingly powerful.
I've made so many things I never would never have even attempted without it: a change-based timelapse tool, virtual hand-controlled web-based theremin, automated sunrise and sunset webcam timelapse creator, healthy-eating themed shoot'em up, content-based podcast ad removal tool, virtual linescan camera, command line video echo effect, video player progress bar benchmark tool, watermark remover, irregular panoramic photo normalizer, QR code game of live, 3D terrain bike share usage map, movie "barcode" generator, tool to edit video by transcript, webcam-based window parallax effect, hidden-image mosaic generator, and all kinds of other toys I've already lost track of.
I go through waves. Sometimes I'm in awe of what the LLM does for me, the rapid progress through boilerplate code in seconds that would have taken me forever, leaving me to ponder the actual core issues of the problems I'm solving.
Sometimes I want to hunt it down and erase the lazy, lying, gas-lighting **** from existence.
I fully concur, we've automated away the enjoyable and creative part of the job. I used Windsurf for a project recently, and while it was impressive, I don't feel I was notably more efficient at delivery. I often had to intercede to refactor what it had churned out to make the solution legible.
My takeaway was that AI coding is a fairly joyless experience, you're effectively writing JIRA tickets for it, and the labour switches to coaching and PRs. It feels like we're just accelerating the speed at which we build legacy code bases, which no-one will understand.
Maybe 20 years ago I read a book on Henrietta Leavitt who was a 'computer' in the 19th Century. Her and many other women did (mostly hand) calculations for a living. She analyzed photographic plates of stars. She discovered Cepheid stars. After I read that I thought 'Holy Shit'. That's what I do for a living - the moral equivalent of long division by hand on 20 digit numbers all day long - and someday this is going to be automated. People will one day say - I can't believe people coded by hand for living - how tedious. I just didn't think it would happen so fast.
That said, I have loved writing software for 40 years, but I too have lost some joy. I am retired now and am having trouble finding joy in my personal projects. I use the LLM's to write functions for me and I do the rest (and I like not having to deal with minutia any more - but one time I loved taking apart binary files by hand and getting paid well).
I liken it to too many choices. If you have 2 cars to choose from, you can feel good about your choice. But from 40, you are always saying, Hmmm, maybe I should have gotten that 17th choice instead of the 26th.
Back then. A C compiler, a linker, a manual and a couple books. Get to work. Create something by your own hand.
Now when I find the right project, usually music related, and it get's under my skin, I get those old vibes and I love it.
I guess I'm glad I'm out of the rat race - but in all honesty - I little envious too of the younger gen who embrace the new tech. Yea - I wish I had it back then!
I feel the exact same way (using the tools they force on us at work).
I've became very lazy. Most tasks, I explain to the LLM, and go browse the web while it computes. More often than not, it fails, and I re-iterate my prompt several times. Eventually, I need to review the changes before submitting it for review, which isn't very fun.
Overall, I feel I'm losing my skills and the competitive advantage I had at my role (I'm a decent coder, but don't care too much about product discussions). The way I'm using the tool right now, I'm pretty sure I'm not more productive.
We'll see how it goes. It's still a pretty new tech and I think I should learn when not to use it and try to have good hygiene with it.
I feel like the more we rely on AI, the stupider we as a whole in society becomes. There no longer is this sense of accomplishment of actually doing the work yourself, so you rely on an AI that just spits out the answer. No more digging around the web for a solution, google AI has got you. The old days of learning how to go to the library to get an encyclopedia to do a homework research article is over, there is something about the effort that goes into solving a solution more so than the solution itself, ergo the journey not the destination
Suggestion - pick up a new hobby that is engaging outside of work
It depends on the type of person, for example, I use AI but there is no degradation, on the contrary, I have achieved better, for me AI is a tool, I have never given it all the work, the ideas for optimization have done it all do it and AI just helps.
I'm definitely on the opposite side where despite being in the nascent era of code assisting agents, they've become a productivity multiplier and I shudder thinking about how productive my last 25 years of programming could've been if we had coding agents back when I started my career. Young aspirational developers graduating now are going to be able to accomplish much more than us over their entire career.
It's also got me to explore a lot more domains than I would've considered otherwise, e.g. using Python to accomplish tasks with local pytorch/onnx models and creating ComfyUI nodes or using bash for large complex scripts that I would've previously used bun .ts shell scripts to implement.
Even non dev tasks like resolving Linux update/configuration/conflicts have become a breeze to resolve with Claude/Gemini Pro being able to put me on the right track which no amount of old-school Google searches were able to.
Although it's not all upside as LLMs typically generate a lot more code than I would've used to accomplish the same task so code maintenance is likely to require more effort, so I don't like using LLMs to change code I've written, but am more than happy to get them to make changes to code that other LLMs have created.
I get it. However I find without significant direction from me it architects things badly and/or introduces poor patterns or lack of maintainability so it’s not like you can just let it run. However manual coding does seem more tedious now and I try to get it to a point where it writes most of the code while I make adjustments.
I use LLMs like I use Google. I will go to the website, type in the prompt, and read over the results. I would never embed LLMs into my whole workflow, let alone allow the entire code base to be analyzed by one.
I’m an amateur who likes to hack stuff for fun. So what’s the point of an LLM doing this for me? I may as well go on the hunt for an Apple II because I loved writing machine code on it in the 80s.
I enjoyed building products and creating value with those products. Coding was just an implementation detail. It wasn’t even the hard part or the real work - the real work was understanding and clarifying business requirements.
It’s not a perfect analogy, but I think there’s a parallel to coding.
Thanks to LLMs, I actually enjoy writing more than before. I spend less time typing and more time thinking about the core idea. Every time AI rewrites my messy draft, I find myself saying, “Yes—that’s exactly what I meant.” Then I get to fine-tune it and add my own voice, which makes the process fun.
I also love this quote from Paul Graham, "Writing, Briefly":
“Writing doesn’t just communicate ideas; it generates them. If you’re bad at writing and don’t like to do it, you’ll miss out on most of the ideas writing would have generated.”
As someone that enjoys the problem solving, creativity, learning, and sense of ownership that comes out of building software, I would feel less fulfillment if I hand over everything (or most tasks) to an LLM. It's like being a painter but not painting.
Hence I choose not to do that.
LLMs can be good if used responsibly and when it makes sense. It should not be at the cost of taking away something that matters to you.
I don't know your current situation. Maybe you are doing this at your workplace. Maybe you are under pressure of using LLMs. I get it. But you have a choice.
Now that you have come to this realization, you'll know what to do. Find the right balance.
i agree. Initially i felt liberated that it is doing all the tedious work for me so i can concertate on the "good stuff" of creative thinking.
I usually start out with good intentions like
1. planning out work
2. crafting really good prompts
3. accepting bare miniumum code changes
4. reviewing and testing code changes
But most 'agentic code tools' are not really well aligned with this philosophy. They are always over eager and do more than what you ask them to. Like if you ask it to change button color, it goes and builds out a color picker .
They sneak in more and more code and vex you with all the extra junk that you slowly stop caring about extra stuff that's being snuk in and the whole thing spirals out of control. Now you are just doing pure vibe coding.
I suspect that you never were truly interested in programming otherwise you wouldn't have preferred talking to several LLM models instead of writing code yourself.
Nobody forced you to switch LLM models until eventually one of them solve your problem.
Long story short, LLMs are great for people who never wanted to become "code artists" (aka hackers) which many people within CS and SWE do not wish to be.
If you goal is to be able to express your ideas fluently though, you'll have to get good at coding. The differentiator is how you look at the pain and struggle involved. If your goal is to improve yourself, the struggle has value. You learn by trying to do harder and harder things. If your goal isn't to learn though, you may as well outsource the struggling to a bot.
I actually brought back some of the joy of programming for myself by leveraging LLMS
Context. I'm burnt out,doing web software development for business apps for 15 years now and going
I started to get into game development. I started to test out chatGPT and claude to assist and it's been going great. I make so much progress and the results are fun which makes the coding process fun. The LLM covers gaps in my knowledge of math and physics and game dev strategy and architecture. But since I know how to code I can take what it gives and accomplish all kinds of things that would be much more difficult going on my own.
I've had the opposite experience. Now I can give an LLM my requirements, ask it to create a plan, I'll review the plan, then I have it implement the plan. I have it add test cases before doing a refractor to make sure everything is still covered. I get to be an architect, a product owner. In this way I get to create and not have to worry about implementation too much. I'll just make tweaks with a review. It's been a joy to describe my end state and watch it get built.
(e.g. did you consider simply not using LLMs to write code and maybe just use them for rubberducking, cross-checking your code and as StackOverflow replacement?)
The problem is most software engineers are disconnected from why their work even matters. It's hard to be motivated when you can't see the impact your work has on others and you don't get any recognition for it.
I just wrote a new book about how engineering leadership has to change and this is one of the key problems. https://productdriven.com/book
You're more or less describing what happened to me when I changed from dev to dev team lead. I couldn't affort the time anymore to make code reviews, left that to my colleagues and only tested the resulting software. When it didn't work, I returned a bug task and then we iterated this until it worked.
No more joy in writing software. Instead my time is spend in writing user stories and specifications as good as possible.
No, because I only use LLMs as code assistants (and I don't think they do that great a job in spitting out code without me needing to review it). Typically I use LLMs to write stuff that K find boring and repetitive (unit tests, glue code for APIs - like JSON mapping for example), Dependency configuration, that sort of thing.
The actual meat I prefer to code myself with minor LLM support (for example, I ask it to review my code).
Use the LLM to code away the boilerplate if you must, but get stuck in and deal with the novel stuff and get yourself the dopamine hit of doing the hard thing.
Sure, get an LLM to suggest an approach, but how can you feel joy when you've turned yourself into a system architect working with a particularly stupid and relentlessly optimistic bunch of idiots who never really learn?
You can choose how you do your work. You have autonomy. So, choose.
You should take a break, it's normal to go through down periods. Work coding is also generally dissatisfactory compared to personal fun coding.
Personally I have found that the sky is now the limit thanks to AI assistants! I was never the best coder out there, probably a median level programmer, but now I can code anything I imagine and it's tons of fun.
Find some creative projects you want to work on and code them up!
Funny enough, I’ve had the opposite experience. Using LLMs made me enjoy programming more. I spend less time on boilerplate and chasing down syntax quirks, and more time thinking about the bigger picture, what the system should do, how it should scale, where it might break.
I think you're doing fine. The practice of programming is commoditized, so it no longer feels meaningful. But, that isn't to say it isn't. Just the mental association is now gone.
If you see "programming" as "writing code" then I can see where that joy is lost. If you see "programming" as "creating software" then you can maintain that joy. I would argue the goal has always been to write less code. That has driven the design of programming languages for the past 50 years.
These posts are so exhausting and telling of those who never enjoyed programming in the first place. Wish these were a wake up call to those posting that they’ve been in it for reasons they haven’t been able to understand till now.
Generally I agree, I use LLM to solve work problems faster but I work on my own personal projects by hand only using LLM to teach me concepts, give me direction or help with complex portions of code (learning rust)
I can't escape the feeling that in 2-4 years no one will be even looking at the code and the IDE+chat interface of today will be a weird relic and most people will be just prompting finished artifacts.
I'd say if you used to find pleasure and satisfaction if the art of writing code unless you're willing to stop using AI it might be worth finding a different pursuit to channel that energy into. If you don't enjoy prompting now it's only going to get worse from here and your energy will be better spent finding something you do enjoy.
interesting, i have the exact opposite reaction. I had kinda become bored and disillusioned by coding. These tools have brought back the joy of creating things in code for me. Went through all my long forgotten side projects and managed to finish them. So happy to have all of these things done and up and running.
[phenomenological questions with today’s first mug of coffee]
then sitting and waiting for it to finish. If it fails…
I could not help but think that sounds like the old days of batch processing and even somewhat recent compilers.
¿Maybe waiting is an ordinary part of programming?
¿And maybe LLM’s fill a vacuum created by desktop systems with abundant memory and fast bulk storage?
¿Could it be that waiting is a fundamental dimension in our relationship to machines and when we change the mechanism to remove one cause of wait, another wait often whack-a-moles itself up? [1]
——
Anyway, my empathy on your job frustration. My advice is programming, no matter how much you love it, is still a day job when programming is your day job. What matters most are the things your day job allows you to do, e.g. Friday night pizza for your children, vintage rollerblades, or a trip to Guam.
And if your mental health is suffering, there’s nothing wrong about talking to a clinical therapist. In fact there can be a lot right about it.
Or not. Good luck.
[1]: We might do something else while we wait for the laundry to finish the dryer cycle or microwave popcorn to pop. Often this can be just filling time and the completion interrupts us with buzzers and beeps.
[2]: The nature of machines is that we tend to eat more popcorn and have cleaner clothes ^and^ spend more time cooking popcorn and washing clothes because it is less bother. Particularly when it comes to our day jobs…the machines of the call center increase the number of calls the call center handles per employee.
The whole reason I got into software (besides it being easy money) was my childhood of typing in code from magazines and making it my own.
I didn’t go to university, and I didn’t focus personal time in developing coding skills enough to get me a job in it full-time. I know lots of the fundamentals I’m just not fast, and I fail to memorize lots of idiomatic stuff that’s necessary.
What changed for me? Two years ago I discovered Golang, love it. In the last few months I set aside my aversion for AI, and it’s amazing. I know AI code is mediocre sometimes, so is what I write myself. But the feedback loop is way encouraging. It has me engaged. I feel I can maintain the code. If I don’t feel comfortable with anything I take the time to review and rewrite, or run just that piece of code through a different AI.
Whether it’s right or wrong, I’m now engaged daily, instead of working a full day in “adjacent” engineering and then trying to push through tutorial hell.
Very simply put: because in neoliberal capitalism, the only goal of companies is to maximize profit in the short-term (because financing is driven by short time horizons). Crucially, companies don't need to internalize any external costs.
Why should labor care about the quality of their work when management also does not because it's hard at the prospect of the largest displacement of labor in history?
Well I believe the thread you're commenting in has answered that question.
Programming is also the field where it's the easiest to strike out on your own. Seizing the means of production in programming amounts to grabbing a $200 laptop.
> Seizing the means of production in programming amounts to grabbing a $200 laptop
This might have been true in 20 years ago, but not anymore. Sure, you can produce an app with a $200 and your time (which, by the way, has opportunity costs, which are the main "means of production" in programming), but who is going to pay you for it? Now, you need marketing. For marketing, you need capital. Or more time, which means more opportunity cost.
I don't feel the same, I just have a bad under the skin feeling just thinking about what your code could look like as of now. I feel like there won't be enough human/processes/money to clean up all the slop, hoping for a big reset at some point. And no a sci-fi future AI won't help us clean the slop
Yea, a little. I think it's fun to see what it can do, but that gets old quick.
The real kick in the nuts is that people don't care about quality. Honestly they never have, but now it's just worse. People see productivity gains and that's literally all that matters. I guess they know they can ship bad stuff and still sell it. Only when retention numbers get bad do they complain - not even think about taking the time to do things proper of course - about it and demand higher quality.
I think there's going to be a high demand for AI slop fixers in the future. Don't get me wrong, it's not that AI itself is incapable, it's that people aren't putting any effort in.
I think we'll push the people who code for enjoyment away and they'll be replaced by people who aren't as senior.
Using LLMs is just a different way of programming. Think of it as a high-level language, similar to how conventional programming languages relate to assembly.
Getting tasks done, tasks you would never have had the time or courage to tackle the traditional way, is another source of joy.
I feel exactly the opposite. To explain, programming became very tedious, looking through endless lines of code, and lately it appears everything is generated, and not making sense of it. With programming bots I can focus on what I want rather than spending inordinate amount of time finding just the right syntax for something that itself was generated by another machine.
Honestly and simply, get with the program
I've always found it a bit strange that people enjoy the act of coding so much that LLMs make then sad. For me it's always been about what I can make, not the actual typing of code into the editor. With LLMs I can make better stuff, faster, and it's really exciting. It used to be that if I needed to use a new library for one little task, it would be hours or days of reading the manual and playing around. Now it's minutes and I can understand how the API works, and write good, robust code that solves my problem.
Maybe it's more of a problem with your job and the tasks you're assigned?
> I've always found it a bit strange that people enjoy the act of coding so much that LLMs make then sad.
Why do you find this strange? It's like saying you find it strange that a carpenter enjoys working with wood, that it's only about the end product and not the process.
That's fair. I was actually a professional carpenter for a bit too, and you're right, I love touching the wood, sanding it, admiring it, etc. etc. More so then I've ever liked inputting code into an editor.
I do, however, use electric planers, table saws and miter saws, because I want to produce the product fast and efficiently, because the end product still is the goal.
It is never just inputing text into an editor. When I write a piece of code, it is just the first draft of what I have in mind. Most of the time I change the code interactively until I'm satisfied. The act of writing the code myself helps in clarifying my ideas.
Fun or not fun it is a personal perspective. What I was saying was that when you write code you also think deeply about what you actually write and you have the opportunity to optimize, change ideas and overall improve. A programming language is more precise and succinct than natural language in expressing algorithms/ideas.
Have you considered not doing that? It's not obligatory to have an LLM shit out unreviewed code for you, you're making a choice to do that, and you can make a choice not to.
Review the code. Hell, maybe even write some code yourself.
What you're describing is how I feel whenever I use an LLM for anything more than the most basic of tasks. I've gone from being a senior level software developer to managing a barely competent junior developer who's only redeeming skill is the ability to type really, really quickly. I quit the management track some time ago because I hated doing all my software development via the medium of design documents which would then be badly implemented by people who didn't care, there's no way you're going to get me to volunteer for that.
"who's only redeeming skill is the ability to type really, really quickly" This really resonates. Here’s the hard truth: AI coding assistants are like giving devs a faster keyboard. Sure, they type faster—but typing was never the bottleneck.
And while AI often produces high-quality code on the surface, when things go wrong, they take longer to fix. MTTR for AI-generated code is much higher, especially when devs don’t fully grok the code they accepted. That undercuts a lot of the perceived velocity gains, especially in complex, evolving systems.
I take a hybrid approach. I will describe a simplified problem to the LLM, have it generate a well commented and reasonable approach for the problem. I then use that as a cheat sheet for implementing my actual code. This still gives me hands on codi and more control, without needing to agonize over the details of each coding technique.
This is me also.
I know if I leet code ground myself into the dirt, I’d get better, and more importantly: faster.
But there’s never been any payoff to me full-time coding.. not when the pay is close to coding, and my role wants me to address test tech debt or Nice To Haves tooling, and (until Go) I had to do my 9-5 work in a scripting language…
There’s now more days behind me than ahead, and I no longer want to understand low level details and theories about the kernel or TTY.
All progress is built on abstraction. It has to be.
I'll often get it to write failing tests for me and write the actual code myself.
Not OP, but you nailed my feelings perfectly. I did not like managing for precisely this reason, and it never got better. The trenches are for me.
Re LLMs I love collaborative coding because I can sometimes pick up or teach new tricks. If I'm too tired to type the boilerplate I sometimes use an LLM. These are the only two redeeming values of LLM agents: they produce code or designs I can start from when I ask them too. I rarely do.
I hope OP can find a balance that works. It's sad to see the (claimed) state of the art be a soulless crank we have to turn.
I’ve been writing oversized shell scripts for ages, often just for the moment in Bash.
Then if I need something similar for a Dockerfile, I’d write that also. The duplication is a sad feeling.
So I described what I wanted, /bin/sh with posix, detailed what both scripts do, and it merged both scripts without ever seeing their full codebases! (Both for work and my own code, I never share code unless it’s already in a public repository)
I fired up ShellCheck linter and zero issues. At work I Replaced both tech-debt laden scripts with a repo and people said they’d use it too, NICE cleanup, and how long did it take? :-)
Relating back to OP, that sounds like an early win on a long campaign to boredom. I hope you continue to enjoy it though, there certainly nothing inevitable about ennui.
How large of an idea can you implement by yourself as opposed to leading a team?
I can and have lead discovery sessions either virtually or hop on plane and do it in person, design the architecture, be a halfway decent project manager, tech lead, hands on development, take an empty AWS account and set up best practices from a security, networking, deployment pipelines, etc.
But I can’t do it all at once and there is still only so much I can do at once and no business would be happy with the length of time it would take me or any one person to do a complex implementation at scale. At some point, if you have big ideas, you have to lead projects.
However LLMs make a damn good and fast junior developer that can do it all especially on a green field project with clear requirements and the amount of work I can get done now by myself on each of those levels - post requirement gathering is at least 2x - 3x.
And I am not bragging - I’m old. I should be able to do all of things I mentioned.
Code is an implementation detail. My job has always been to get computers to do stuff to either make the computer money or to save the computer money either via my own hands or via leading a team.
I think you're on to something: It sounds like the developer needs to be more hands-on in making changes; as opposed to treating the AI like a subordinate with autonomy.
---
For example: About two years ago I worked with a contractor who was a lot more junior than our team needed. I'd give him instructions, and then the next day spend about 2-3 hours fixing his code. In total, I was spending half of my time handholding the contractor through their project.
The problem was that I had my own assignments; and the contractor was supposed to be able to do their job with minimal oversight. (IE, roughly 0.5-1.5 hours of my day.)
If the contractor was helping me with my assignment; IE, if the contractor was my assistant, I'd have loved the arrangement.
(In case you're wondering how it ended up for the contractor, we let him go and hired someone who worked out great.)
---
I suspect if the OP can figure out how to make the AI an assistant, instead of an employee with autonomy, then it will be a better arrangement. I personally haven't found an AI that does that for me, but I suspect I'm either using it incorrectly or using the wrong tools.
If you haven’t done so, try changing your prompt styles. It’s an assistant for me but I’m finding it needs less and less babysitting. What I just tried:
Ask it first to plan out a project you briefly described, focus on the planning, file structure is ok but no coding. Tell it what functionality is integrated, or what what should become a standalone module. Ask it to summarize.
I then start a new chat for the code, and tell it follow the summary. Tell it “before you make code, ask questions if there is commonly another way to do this.
Chances are you’ve done this way more than me and tried variations of this. But it’s working here as an assistant. I’m now doing wIdk I wasn’t hired for, and people are happy.
Have you done that with co-pilot in Visual Studio. Unless I'm missing something, I just don't think it can work that way.
I tried... It couldn't handle changes that spanned multiple files.
> managing a barely competent junior developer who's only redeeming skill is the ability to type really, really quickly
Hits the nail on the head. For an actual junior developer, they'd at least learn over time. With LLM, open up a new chat and you start with a new hire.
Most coding tools have rules or plan files that help provide context across chats.
I spend most of my time editing these files. It's as if I am training a junior dev.
Maybe everyone will now expect you to complete tasks as early as possible. They might also be evaluating the time needed to finish tasks, considering the help from AI.
Technology is about efficiency, and for people to adopt it you need to be 10x more efficient. LLMs took a 15 years process of burning out, and shortened it to 1.5 years.
A lot of this reads like how my Dad reacted to Mobile phones and the internet.
Everything is so fast, no body gets an opportunity to do things slowly and better.
Cal Newport's book Deep Work gives excellent insights on how to break out of this pressure.
That is a hilarious and depressing perspective!
I think that's just the way you're doing it?
I feel the opposite. I appreciate the ability to iterate and prototype in a way which lowers friction. Sure I have to plan steps out ahead of time, but that's expected with any kind of software architecture. The stimulating part is the design and thought and learning, not digging the ditch.
If you're just firing off prompts all day with no design/input, yea I'm sure that sucks. You might as well "push the big red button" all day.
> If it fails, I just switch to another model—and usually, one of them gets the job done.
This is a huge red flag that you have no idea what you're doing at the fundamental software architecture level imo. Or at least you have bad process (prior to LLMs).
> I feel the opposite. I appreciate the ability to iterate and prototype in a way which lowers friction.
I feel the same way. Things I like: Thinking about architectures and algorithms. Things I don't like: Starting out with a blank slate, looking up the exact function names or parameters. I find it much easier to take something roughly implemented and improve upon it than to start from nothing and build it.
I think about what I want fairly specifically. I discuss it with the LLM. It implements something. Half of the time it's what I expect, I can move on. Sometimes it's done something I wasn't expecting in a better way, which is nice. Frequently it's done something I wasn't expecting in a worse way; I either tell it to fix it, or just fix it myself.
In my previous role, I did a huge amount of patch review, which I always found quite tedious. Even though this looks superficially similar, it doesn't have the same vibe at all. I think it's because the LLM will accept being told what to do in a way no self-respecting coder would. (One complaint I'd heard about another person's reviews was that the person whose code was reviewed felt like they were a marionette, just typing exactly what the reviewer told them to type.)
This way I can do the things I enjoy, while neither having to worry about some human being's feelings, nor having to do the low-level stuff that's a chore.
As the saying goes, mathematics is not a spectator sport. The same applies to programming. If you don't do the lower level work, you are a spectator that is rearranging other people's laundered code, or even their laundered architectures.
> This is a huge red flag that you have no idea what you're doing at the fundamental software architecture level imo. Or at least you have bad process (prior to LLMs).
Particularly in the present. If any of the current models can consistently make senior-level decisions I'd like to know which ones they are. They're probably going to cross that boundary soon, but they aren't there yet. They go haywire too often. Anyone who codes only using the current generation of LLM without reviewing the code is surely capping themselves in code quality in a way that will hurt maintainability.
> They're probably going to cross that boundary soon
How? There’s no understanding, just output of highly probable text suggestions which sometimes coincides with correct text suggestions.
Correctness exists only in the understanding of humans.
In the case of writing to tests there are infinite ways to have green tests and break things anyway.
> How?
The typical approach is to prompt an LLM model with an outline of what the problem is and let it write the code itself by giving it file (+ maybe some other things) access. You could look into software packages like Windsurf (as original post) or the Cline extension for VS Code which are both pretty good at this sort of thing.
They perform at what I'd estimate is a mid programmer's level right now and are rapidly improving in quality.
For prototyping UI it's actually amazing.
"Add a sidebar to the side that tracks where we are in the document".
"Move all elements in area A into a split screen view with those elements at the left hand side and the remaining elements in the right hand side"
The above sort of thing can be painful to do manually. Changing a layout which can have 100's of elements and moving everything across to the new layout structure. Often you can waste a day tweaking it in various ways. LLMs are actually pretty amazing at it since it's a job where you "put old things from one context into a new context" and that's basically what they do. As in AI has saved me some of the biggest pain points and allowed me to focus on the meatier aspects of the code (which it's not so good at).
I always enjoyed problem solving, and programming was more of a means to that end for me. These days, focusing on syntax feels a bit tedious, especially when LLMs can handle so much of it. That being said, I still find myself obsessing over code quality, reading and reviewing code, and thinking a lot about architecture and best practices. I still get a lot of satisfaction from building things well, even if the actual mechanics of typing out code aren't always the most exciting part.
in this world of LLM coding, we jumped to architect level
Many of us will make that shift effectively, sure. I think the problem is that to really be a good architect, you need 10+ years of actually doing things to understand what should/should not be built, and the industry is rapidly removing the jobs that let people acquire that experience.
Yeah I would recommend avoiding LLM's while learning to anyone new to programming, because I have experience with meticulously rewriting code until I was happy with it's performance, conciseness and readability I can see when an LLM is writing something that could be improved and just gently nudge it in that direction and it resolves the issue.
Is AI genuinely that good for you all? I can't leave it to its own devices, I have to review everything because (from experience) I don't trust it. I think it's an amazing technological advancement, perhaps will go down as one of the top 10 in the history of our species. But I can't just "fire and forget".
And that's not just because its output is often not the best, but also because by doing it myself it causes me to think deeply about the problem, come up with a better solution that considers edge cases. Furthermore, it gives me knowledge in my head about that project that helps me for the next change.
I see comments here where people seem to have eliminated almost all of their dev work, and it makes me wonder what I'm doing wrong.
> it makes me wonder what I'm doing wrong
I'm in the same boat: I'm mostly doing C# in Visual Studio (classic) with co-pilot, and it very rarely gives useful code from prompts. Often times the auto-suggestions are hallucinations, and frequently they interfere with "normal" tab completion.
I'm wondering if I'm using the wrong tool, or if Visual Studio (classic) co-pilot is just far behind industry norms?
The main problem I have with auto-suggestions is that they distract my flow of thinking. Suddenly, I go from thinking about my code carefully, to reviewing someone else's code. To the point where I get a bit stressed typing, worrying that if I go too slow, the suggestion will pop up. As you may guess, I therefore have them turned off :)
I am playing with Zed now though, and it has a "subtle" mode for suggestions which is great. When I explicitly want to see them, I press option key. Otherwise, I don't see them.
I felt the same way until I tried Claude Code. Moving from an autocomplete-based workflow to a conversation-based workflow changed everything. I find traditional Copilot useless by comparison.
Youre 100% being dishonest or not dealing with any sort of complexity.
Use it as someone you are working with / talking with. Not as auto complete. You need to reframe your work a bit to have best results interacting w/ llms
These people arent being honest or they arent dealing with any real level of complexity.
I don’t think you’re doing anything wrong. Some shops just have very low quality bars where they can ship things that are to be frank, broken. I tend to use Sonnet 4 these days, and use it for tasks that aren’t too important or ones that require prototyping and iteration over perfection.
I find it’s really great for augmenting specific kinds of concentrated tasks. But just like you, I have to review everything it creates. Even Claude Opus 4 on MAX produces many bugs on a regular basis that I fix before merging in a change. I don’t mind it though, as I can choose to use it on the most annoying areas, and leave the ones I enjoy to work on myself.
I think it depends on your niche and model. Gemini pro worked amazing for me in when doing (relatively simple) graph algorithms in python, but completely sucked when I switched to (relatively complicated) latex layouts.
What you’re doing wrong is you’re working on complex stuff.
I would love someone to do some research on attitudes towards how self-driving AI is, compared to factors like:
- Type of dev work (infra, frontend, backend, etc)
- Programming language
- Level of experience
- Quality expectations of project/work environment
What I have found is that using LLM’s to do the same stuff I already knew how to do is not super enjoyable. I know web application development, and having some agent build it for me is just a productivity gain with no job satisfaction. So I’ve been where you are recently.
But on the flip-side, using the AI to help me learn the bits of programming that I’ve spent my whole career ignoring, like setting up DevOps pipelines or containerisation, has been very enjoyable indeed. Pre-AI the amount of hassle I’d have to go through to get the syntax right and the infrastructure set up was just prohibitively annoying. But now that so much of the boilerplate is just done for me, and now that I’ve got a chat window I can use to ask all my stupid questions, it’s all clicking into place. And it’s like discovering a new programming paradigm all over again.
Can 100% recommend stepping outside your comfort zone and using AI to help where you didn’t want to go before.
Vibe coding sounds miserable. I use LLMs pretty heavily but never as a replacement for my own mind. I'm glad it exists for the people who can't program but it's much less pleasant than being explicit myself.
For me, vibe coding is becoming more of a niche. I still use it but not that often. I prefer the Codex style workflow in which you do spent a lot more time on specifying things, providing examples and reviewing PRs.
Essentially, vibe coding is synchronous as it is necessary to wait around for the LLM to respond. Codex is async and allows you to focus on other things while it is working. The primary issue with async workflows is you really don't want to have to iterate much. Therefore, investing more time upfront clearly defining the prompt / agents.md and prior examples becomes really important. Usually if it is > 90% correct I will just fix the rest myself. For hand coding, I use a fairly basic vim setup with no LLM plugins. I do not like LLMs jumping in and trying to auto complete stuff.
what is 'codex style workflow' ?
OpenAI Codex. You provide it access to your github repo, provide prompts and AGENTS.md and it creates PRs for you.
Many of us are adopting AI tools at different paces but that is the giant theme going on with software developers at the moment.
In some level, I feel excited that the game has reset and anyone is having the opportunity to get 10x better or becoming irrelevant. It's about how one would leverage these tools, how to use them rights etc.
It's all about who can adapt better, who can evolve to say on top, which has always been the case in the big picture.
For example, I see myself: - "loose" the way I view "scalable code" in PR reviews - focusing less on programming styles - have new expectation about my productivity. (I tell myself with the tools I should 2x done than before, and challenge myself to get it done. In that process, you find a way to effectively use the tools) - etc.
I actually find joy in this process. Just sharing my story, no pun intended :)
First, I get it.
Second, you can look at it differently.
AI is going to do most of the coding in a very short time. That's a fact. The opportunities are going to come to those who know how to prompt the AI and hold it accountable.
So yes, you're no longer going to be the hero for the code you type out.
But you CAN be the hero for being the Senior Developer or Project Manager who know what needs to be done and knows how to get the AI to do it right the first time.
I actually got out of coding a number of years ago because I was tired of keeping up with the latest changes in languages, standards, best practices, etc.
When AI became a thing over the past couple of years, I decided to try again ... and I'm actually enjoying it a whole lot more. I make a lot more progress a lot faster, which means I get to see faster results.
You can't control the direction that coding is going. It will go where it goes. But you can control how you think and feel about it. So what choice will you make?
> AI is going to do most of the coding in a very short time. That's a fact.
[citation needed] and this really depends what you are doing.
> AI is going to do most of the coding in a very short time. That's a fact.
That's not a fact it's a fact only on HN
> That's a fact
Great evidence. Add "full stop." to really drive the point home
>Recently, I realised I no longer enjoy programming.
You don't? Sounds to me like you just don't enjoy prompting. Try doing some programming again. Engage your brain with a challenge and try to solve the problem itself not just explain it to an ai and never even look at the code. You enjoy the driving not the destination, getting a taxi there is removing your purpose.
I had to rip all the LLM crap out of my editor to feel like I was doing anything. My programming ability has gotten better and if I do actually need to use an LLM I just open ChatGPT, DeepSeek, or punch stuff into Ollama.
The majority of what I end up using langle mangles for is trivially verifiable but tedious to do things like "turn this Go struct into an OpenAPI Schema" or "take this protocol buffer definition and write the equivalent in Rust prost".
You're doing it wrong, even with language model...
You stopped reviewing the code..? You're not gonna make it.
You still need the visceral feel of writing the code, this builds the mental model in your head.
> At this point, I’ve even stopped reviewing the exact code changes. I just keep pushing forward until the task is done.
I think this is becoming more normal. I wrote about it [1], but I have the opposite takeaway. This makes programming for me _vastly more_ enjoyable. It might come down to the type of programming you do.
1. Do you build and ship whole products? 2. Do you work mostly on non-user facing code (backend etc)
I'd be interested to know which of these you work on.
[1] https://open.substack.com/pub/growbell/p/i-dont-care-what-th...
No, I feel the exact opposite. This post makes me want to stay away from agentic coding all together. Idk about everyone else but I love programming, more than any other thing I do. I do not want to end up like this.
I can relate. I’ve been using CA:s/LLM:s for various projects for the past year. It started to take the enjoyment out of it for me too. It’s a tool like any other though, just gotta figure out how to use it correctly. For me at least, I only use CA:s now to write code I already know how it should work. So I just use it to write code I’ve already written in my head, if that makes sense. And you should always review code produced by an AI very carefully.
I feel you, but I think that if you want to make exceptional software, and not just a large volume of mediocre software, the best way is still to write code manually.
>> Recently, I realized I no longer enjoy programming. It feels like I’m just going through the pain of explaining to the LLM what I want, then sitting and waiting for it to finish.
This isn't programming. Delete the AI stuff and start programming again. It's fine to use LLM's if you want but nobody is forcing you to.
> I Lost Joy of Programming
I found the joy of making things.
As a technical person who is not a professional programmer, but finds or makes whatever I need, LLMs (Gemini) are dizzyingly powerful.
I've made so many things I never would never have even attempted without it: a change-based timelapse tool, virtual hand-controlled web-based theremin, automated sunrise and sunset webcam timelapse creator, healthy-eating themed shoot'em up, content-based podcast ad removal tool, virtual linescan camera, command line video echo effect, video player progress bar benchmark tool, watermark remover, irregular panoramic photo normalizer, QR code game of live, 3D terrain bike share usage map, movie "barcode" generator, tool to edit video by transcript, webcam-based window parallax effect, hidden-image mosaic generator, and all kinds of other toys I've already lost track of.
I go through waves. Sometimes I'm in awe of what the LLM does for me, the rapid progress through boilerplate code in seconds that would have taken me forever, leaving me to ponder the actual core issues of the problems I'm solving.
Sometimes I want to hunt it down and erase the lazy, lying, gas-lighting **** from existence.
I fully concur, we've automated away the enjoyable and creative part of the job. I used Windsurf for a project recently, and while it was impressive, I don't feel I was notably more efficient at delivery. I often had to intercede to refactor what it had churned out to make the solution legible. My takeaway was that AI coding is a fairly joyless experience, you're effectively writing JIRA tickets for it, and the labour switches to coaching and PRs. It feels like we're just accelerating the speed at which we build legacy code bases, which no-one will understand.
Maybe 20 years ago I read a book on Henrietta Leavitt who was a 'computer' in the 19th Century. Her and many other women did (mostly hand) calculations for a living. She analyzed photographic plates of stars. She discovered Cepheid stars. After I read that I thought 'Holy Shit'. That's what I do for a living - the moral equivalent of long division by hand on 20 digit numbers all day long - and someday this is going to be automated. People will one day say - I can't believe people coded by hand for living - how tedious. I just didn't think it would happen so fast.
That said, I have loved writing software for 40 years, but I too have lost some joy. I am retired now and am having trouble finding joy in my personal projects. I use the LLM's to write functions for me and I do the rest (and I like not having to deal with minutia any more - but one time I loved taking apart binary files by hand and getting paid well).
I liken it to too many choices. If you have 2 cars to choose from, you can feel good about your choice. But from 40, you are always saying, Hmmm, maybe I should have gotten that 17th choice instead of the 26th.
Back then. A C compiler, a linker, a manual and a couple books. Get to work. Create something by your own hand.
Now when I find the right project, usually music related, and it get's under my skin, I get those old vibes and I love it.
I guess I'm glad I'm out of the rat race - but in all honesty - I little envious too of the younger gen who embrace the new tech. Yea - I wish I had it back then!
I feel the exact same way (using the tools they force on us at work).
I've became very lazy. Most tasks, I explain to the LLM, and go browse the web while it computes. More often than not, it fails, and I re-iterate my prompt several times. Eventually, I need to review the changes before submitting it for review, which isn't very fun.
Overall, I feel I'm losing my skills and the competitive advantage I had at my role (I'm a decent coder, but don't care too much about product discussions). The way I'm using the tool right now, I'm pretty sure I'm not more productive.
We'll see how it goes. It's still a pretty new tech and I think I should learn when not to use it and try to have good hygiene with it.
I feel like the more we rely on AI, the stupider we as a whole in society becomes. There no longer is this sense of accomplishment of actually doing the work yourself, so you rely on an AI that just spits out the answer. No more digging around the web for a solution, google AI has got you. The old days of learning how to go to the library to get an encyclopedia to do a homework research article is over, there is something about the effort that goes into solving a solution more so than the solution itself, ergo the journey not the destination
Suggestion - pick up a new hobby that is engaging outside of work
It depends on the type of person, for example, I use AI but there is no degradation, on the contrary, I have achieved better, for me AI is a tool, I have never given it all the work, the ideas for optimization have done it all do it and AI just helps.
I'm definitely on the opposite side where despite being in the nascent era of code assisting agents, they've become a productivity multiplier and I shudder thinking about how productive my last 25 years of programming could've been if we had coding agents back when I started my career. Young aspirational developers graduating now are going to be able to accomplish much more than us over their entire career.
It's also got me to explore a lot more domains than I would've considered otherwise, e.g. using Python to accomplish tasks with local pytorch/onnx models and creating ComfyUI nodes or using bash for large complex scripts that I would've previously used bun .ts shell scripts to implement.
Even non dev tasks like resolving Linux update/configuration/conflicts have become a breeze to resolve with Claude/Gemini Pro being able to put me on the right track which no amount of old-school Google searches were able to.
Although it's not all upside as LLMs typically generate a lot more code than I would've used to accomplish the same task so code maintenance is likely to require more effort, so I don't like using LLMs to change code I've written, but am more than happy to get them to make changes to code that other LLMs have created.
I get it. However I find without significant direction from me it architects things badly and/or introduces poor patterns or lack of maintainability so it’s not like you can just let it run. However manual coding does seem more tedious now and I try to get it to a point where it writes most of the code while I make adjustments.
I use LLMs like I use Google. I will go to the website, type in the prompt, and read over the results. I would never embed LLMs into my whole workflow, let alone allow the entire code base to be analyzed by one.
I’m an amateur who likes to hack stuff for fun. So what’s the point of an LLM doing this for me? I may as well go on the hunt for an Apple II because I loved writing machine code on it in the 80s.
Personally, I never really enjoyed coding.
I enjoyed building products and creating value with those products. Coding was just an implementation detail. It wasn’t even the hard part or the real work - the real work was understanding and clarifying business requirements.
It’s not a perfect analogy, but I think there’s a parallel to coding.
Thanks to LLMs, I actually enjoy writing more than before. I spend less time typing and more time thinking about the core idea. Every time AI rewrites my messy draft, I find myself saying, “Yes—that’s exactly what I meant.” Then I get to fine-tune it and add my own voice, which makes the process fun.
I also love this quote from Paul Graham, "Writing, Briefly": “Writing doesn’t just communicate ideas; it generates them. If you’re bad at writing and don’t like to do it, you’ll miss out on most of the ideas writing would have generated.”
I can understand why you would feel this way.
As someone that enjoys the problem solving, creativity, learning, and sense of ownership that comes out of building software, I would feel less fulfillment if I hand over everything (or most tasks) to an LLM. It's like being a painter but not painting.
Hence I choose not to do that.
LLMs can be good if used responsibly and when it makes sense. It should not be at the cost of taking away something that matters to you.
I don't know your current situation. Maybe you are doing this at your workplace. Maybe you are under pressure of using LLMs. I get it. But you have a choice.
Now that you have come to this realization, you'll know what to do. Find the right balance.
i agree. Initially i felt liberated that it is doing all the tedious work for me so i can concertate on the "good stuff" of creative thinking.
I usually start out with good intentions like
1. planning out work
2. crafting really good prompts
3. accepting bare miniumum code changes
4. reviewing and testing code changes
But most 'agentic code tools' are not really well aligned with this philosophy. They are always over eager and do more than what you ask them to. Like if you ask it to change button color, it goes and builds out a color picker .
They sneak in more and more code and vex you with all the extra junk that you slowly stop caring about extra stuff that's being snuk in and the whole thing spirals out of control. Now you are just doing pure vibe coding.
I suspect that you never were truly interested in programming otherwise you wouldn't have preferred talking to several LLM models instead of writing code yourself.
Nobody forced you to switch LLM models until eventually one of them solve your problem.
Reread this: https://paulgraham.com/hp.html
Long story short, LLMs are great for people who never wanted to become "code artists" (aka hackers) which many people within CS and SWE do not wish to be.
If you goal is to be able to express your ideas fluently though, you'll have to get good at coding. The differentiator is how you look at the pain and struggle involved. If your goal is to improve yourself, the struggle has value. You learn by trying to do harder and harder things. If your goal isn't to learn though, you may as well outsource the struggling to a bot.
I actually brought back some of the joy of programming for myself by leveraging LLMS
Context. I'm burnt out,doing web software development for business apps for 15 years now and going
I started to get into game development. I started to test out chatGPT and claude to assist and it's been going great. I make so much progress and the results are fun which makes the coding process fun. The LLM covers gaps in my knowledge of math and physics and game dev strategy and architecture. But since I know how to code I can take what it gives and accomplish all kinds of things that would be much more difficult going on my own.
I've had the opposite experience. Now I can give an LLM my requirements, ask it to create a plan, I'll review the plan, then I have it implement the plan. I have it add test cases before doing a refractor to make sure everything is still covered. I get to be an architect, a product owner. In this way I get to create and not have to worry about implementation too much. I'll just make tweaks with a review. It's been a joy to describe my end state and watch it get built.
"Doctor it hurts when I do that..." ;)
(e.g. did you consider simply not using LLMs to write code and maybe just use them for rubberducking, cross-checking your code and as StackOverflow replacement?)
The problem is most software engineers are disconnected from why their work even matters. It's hard to be motivated when you can't see the impact your work has on others and you don't get any recognition for it.
I just wrote a new book about how engineering leadership has to change and this is one of the key problems. https://productdriven.com/book
You're more or less describing what happened to me when I changed from dev to dev team lead. I couldn't affort the time anymore to make code reviews, left that to my colleagues and only tested the resulting software. When it didn't work, I returned a bug task and then we iterated this until it worked.
No more joy in writing software. Instead my time is spend in writing user stories and specifications as good as possible.
No, because I only use LLMs as code assistants (and I don't think they do that great a job in spitting out code without me needing to review it). Typically I use LLMs to write stuff that K find boring and repetitive (unit tests, glue code for APIs - like JSON mapping for example), Dependency configuration, that sort of thing.
The actual meat I prefer to code myself with minor LLM support (for example, I ask it to review my code).
Use the LLM to code away the boilerplate if you must, but get stuck in and deal with the novel stuff and get yourself the dopamine hit of doing the hard thing.
Sure, get an LLM to suggest an approach, but how can you feel joy when you've turned yourself into a system architect working with a particularly stupid and relentlessly optimistic bunch of idiots who never really learn?
You can choose how you do your work. You have autonomy. So, choose.
You should take a break, it's normal to go through down periods. Work coding is also generally dissatisfactory compared to personal fun coding.
Personally I have found that the sky is now the limit thanks to AI assistants! I was never the best coder out there, probably a median level programmer, but now I can code anything I imagine and it's tons of fun.
Find some creative projects you want to work on and code them up!
> At this point, I’ve even stopped reviewing the exact code changes. I just keep pushing forward until the task is done.
This is definitely going to end well.
Funny enough, I’ve had the opposite experience. Using LLMs made me enjoy programming more. I spend less time on boilerplate and chasing down syntax quirks, and more time thinking about the bigger picture, what the system should do, how it should scale, where it might break.
I think you're doing fine. The practice of programming is commoditized, so it no longer feels meaningful. But, that isn't to say it isn't. Just the mental association is now gone.
If you see "programming" as "writing code" then I can see where that joy is lost. If you see "programming" as "creating software" then you can maintain that joy. I would argue the goal has always been to write less code. That has driven the design of programming languages for the past 50 years.
But if you see programming as creating the semantics of software, it's unclear whether being limited to design documents is satisfactory.
Thanks for this. It helps to rethink one's motives.
I've been through this a few times during my career.
This book helped me put it in perspective: https://pragprog.com/titles/cfcar2/the-passionate-programmer...
These posts are so exhausting and telling of those who never enjoyed programming in the first place. Wish these were a wake up call to those posting that they’ve been in it for reasons they haven’t been able to understand till now.
I don't understand why people only think in extremes.
You don't have to give up anything you did before at all.
LLMs just here to increase your productivity, but cranking out unreviewed code where you don't want to do that is just silly to me.
Generally I agree, I use LLM to solve work problems faster but I work on my own personal projects by hand only using LLM to teach me concepts, give me direction or help with complex portions of code (learning rust)
Seems like you have given the part you enjoy in software development to LLM.
There's programming for fun, and it's programming for work.
Why would you program in a non-joyus way if you're doing it for fun? For professional work I fully get why you'd want to optimize.
Sounds like you are going through the classic transition to management
I can't escape the feeling that in 2-4 years no one will be even looking at the code and the IDE+chat interface of today will be a weird relic and most people will be just prompting finished artifacts.
I'd say if you used to find pleasure and satisfaction if the art of writing code unless you're willing to stop using AI it might be worth finding a different pursuit to channel that energy into. If you don't enjoy prompting now it's only going to get worse from here and your energy will be better spent finding something you do enjoy.
I think the pain of explaining to the LLM what I want is what's kept me from using AI at all so far
Seems like you were never programming in the first place. If by programming we mean solving engineering problems with code.
interesting, i have the exact opposite reaction. I had kinda become bored and disillusioned by coding. These tools have brought back the joy of creating things in code for me. Went through all my long forgotten side projects and managed to finish them. So happy to have all of these things done and up and running.
[phenomenological questions with today’s first mug of coffee]
then sitting and waiting for it to finish. If it fails…
I could not help but think that sounds like the old days of batch processing and even somewhat recent compilers.
¿Maybe waiting is an ordinary part of programming?
¿And maybe LLM’s fill a vacuum created by desktop systems with abundant memory and fast bulk storage?
¿Could it be that waiting is a fundamental dimension in our relationship to machines and when we change the mechanism to remove one cause of wait, another wait often whack-a-moles itself up? [1]
——
Anyway, my empathy on your job frustration. My advice is programming, no matter how much you love it, is still a day job when programming is your day job. What matters most are the things your day job allows you to do, e.g. Friday night pizza for your children, vintage rollerblades, or a trip to Guam.
And if your mental health is suffering, there’s nothing wrong about talking to a clinical therapist. In fact there can be a lot right about it.
Or not. Good luck.
[1]: We might do something else while we wait for the laundry to finish the dryer cycle or microwave popcorn to pop. Often this can be just filling time and the completion interrupts us with buzzers and beeps.
[2]: The nature of machines is that we tend to eat more popcorn and have cleaner clothes ^and^ spend more time cooking popcorn and washing clothes because it is less bother. Particularly when it comes to our day jobs…the machines of the call center increase the number of calls the call center handles per employee.
Nope.
I’ve always done software engineering that wasn’t programming: QA, QA automation, devops, operational sustaining (legacy maintenance).
The whole reason I got into software (besides it being easy money) was my childhood of typing in code from magazines and making it my own.
I didn’t go to university, and I didn’t focus personal time in developing coding skills enough to get me a job in it full-time. I know lots of the fundamentals I’m just not fast, and I fail to memorize lots of idiomatic stuff that’s necessary.
What changed for me? Two years ago I discovered Golang, love it. In the last few months I set aside my aversion for AI, and it’s amazing. I know AI code is mediocre sometimes, so is what I write myself. But the feedback loop is way encouraging. It has me engaged. I feel I can maintain the code. If I don’t feel comfortable with anything I take the time to review and rewrite, or run just that piece of code through a different AI.
Whether it’s right or wrong, I’m now engaged daily, instead of working a full day in “adjacent” engineering and then trying to push through tutorial hell.
Which products are you working on so I can be sure to avoid using them?
May I suggest stop eating cats and the joy will come back.
I’ve had the same feelings. It’s tough for sure.
I’ve pivoted to architecture and higher level problem solving to continue my growth.
I have also found I do my best work when I’m happy. It’s important that the tool works for me and I don’t work for the tool.
> At this point, I’ve even stopped reviewing the exact code changes. I just keep pushing forward until the task is done.
How is this the future of software engineering?
Because capitalism
How is capitalism causing this?
Very simply put: because in neoliberal capitalism, the only goal of companies is to maximize profit in the short-term (because financing is driven by short time horizons). Crucially, companies don't need to internalize any external costs.
Why should labor care about the quality of their work when management also does not because it's hard at the prospect of the largest displacement of labor in history?
Well I believe the thread you're commenting in has answered that question.
Programming is also the field where it's the easiest to strike out on your own. Seizing the means of production in programming amounts to grabbing a $200 laptop.
> Seizing the means of production in programming amounts to grabbing a $200 laptop
This might have been true in 20 years ago, but not anymore. Sure, you can produce an app with a $200 and your time (which, by the way, has opportunity costs, which are the main "means of production" in programming), but who is going to pay you for it? Now, you need marketing. For marketing, you need capital. Or more time, which means more opportunity cost.
Are you genuinely asking?
Yes.
I don't feel the same, I just have a bad under the skin feeling just thinking about what your code could look like as of now. I feel like there won't be enough human/processes/money to clean up all the slop, hoping for a big reset at some point. And no a sci-fi future AI won't help us clean the slop
Man these comments are a rancid minefield of soapboxing.
OP, take some time off and evaluate what you want.
> Man these comments are a rancid minefield of soapboxing.
s/these comments/this website/
yeah don’t do that
have self-respect
Yea, a little. I think it's fun to see what it can do, but that gets old quick.
The real kick in the nuts is that people don't care about quality. Honestly they never have, but now it's just worse. People see productivity gains and that's literally all that matters. I guess they know they can ship bad stuff and still sell it. Only when retention numbers get bad do they complain - not even think about taking the time to do things proper of course - about it and demand higher quality.
I think there's going to be a high demand for AI slop fixers in the future. Don't get me wrong, it's not that AI itself is incapable, it's that people aren't putting any effort in.
I think we'll push the people who code for enjoyment away and they'll be replaced by people who aren't as senior.
Using LLMs is just a different way of programming. Think of it as a high-level language, similar to how conventional programming languages relate to assembly.
Getting tasks done, tasks you would never have had the time or courage to tackle the traditional way, is another source of joy.
I feel exactly the opposite. To explain, programming became very tedious, looking through endless lines of code, and lately it appears everything is generated, and not making sense of it. With programming bots I can focus on what I want rather than spending inordinate amount of time finding just the right syntax for something that itself was generated by another machine. Honestly and simply, get with the program
I've always found it a bit strange that people enjoy the act of coding so much that LLMs make then sad. For me it's always been about what I can make, not the actual typing of code into the editor. With LLMs I can make better stuff, faster, and it's really exciting. It used to be that if I needed to use a new library for one little task, it would be hours or days of reading the manual and playing around. Now it's minutes and I can understand how the API works, and write good, robust code that solves my problem.
Maybe it's more of a problem with your job and the tasks you're assigned?
> I've always found it a bit strange that people enjoy the act of coding so much that LLMs make then sad.
Why do you find this strange? It's like saying you find it strange that a carpenter enjoys working with wood, that it's only about the end product and not the process.
That's fair. I was actually a professional carpenter for a bit too, and you're right, I love touching the wood, sanding it, admiring it, etc. etc. More so then I've ever liked inputting code into an editor.
I do, however, use electric planers, table saws and miter saws, because I want to produce the product fast and efficiently, because the end product still is the goal.
Your point is well taken however.
You find it strange that people like different things than you do?
No, I find it strange that people like to input text into an editor so much that LLMs make them sad.
It is never just inputing text into an editor. When I write a piece of code, it is just the first draft of what I have in mind. Most of the time I change the code interactively until I'm satisfied. The act of writing the code myself helps in clarifying my ideas.
Are you saying that that is no longer fun with LLMs?
Fun or not fun it is a personal perspective. What I was saying was that when you write code you also think deeply about what you actually write and you have the opportunity to optimize, change ideas and overall improve. A programming language is more precise and succinct than natural language in expressing algorithms/ideas.