Pointless rant. Please ignore. I'm a software developer and we all know how AI has changed our industry. How we work or why we're fired and why we can't afford PCs.

Anyways, we're already all forced to use AI already and we're already atrophying the minds of our juniors. It's great.

New team meeting and one of our managers tells us that we're never going to write code anymore at all. The AI will read the JIRA ticket and create the pull request (change request to the codebase) on GitHub. Our job is to only review the code on GitHub and then rank how well AI did and then comment and then get AI to fix it. We have to do this so we can improve the AI process. Which is funny because none of the people who plan this AI shit are data scientists. The only way they can change things is by promoting, it's not like we're releasing our own coding models but anyways ... He's like, now you should be able to do much more work and just review PRs all day now and that we should never be doing only one thing. You can only tell AI through a GitHub comment to fix a mistake and then you can start reviewing the next thing.

We were like, if it's a simple fix why can't we just fix it?

"Because we need to improve the AI process"

But then, I have to context switch.

"Yes that's the point you can come back to it later"

Why come back to it later when we can solve it now? We can even use AI to solve it now.

"No, we want you just comment on the PR so the bot can handle it"

Context switching is free apparently... It's actually infuriating because apparently we're not using IDEs any more. I personally use the GitHub plugin to review PRs in my IDE but no one else seems to do it so I don't think they even took that into account.

These guys have auto merged AI code that's taken us weeks to unravel and which we still haven't fully been able to fix. They just merge shit all the time and a lot of it is fucking slip. AI merged hundreds of tests and no one cares when they break. They didn't configure prettier because AI doesn't use it so it breaks out formatting when humans do it.

I ranted to my own manager for 30 minutes about it today and he was just as upset because every developer is now asking what exactly are they doing. My manager asked me what I would do. I said the process sucks but what are we supposed to do as devs. If I review 20 PRs a day, how is the company going to ensure my skills are gonna be sharp? What are we doing about taking in ideas from regular devs? How do we ensure code ownership when we're just merging tickets we don't write and code we had no hand in shaping?

Sorry. I actually thought I had faith in my company with AI because they were coming up with thoughtful approaches but it seems like utter incompetence.

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[–] 211 points 4 months ago (9 children)

Now seems like the point for you to realise your boss doesn't care about the code base, your company doesn't, you shouldn't either. Don't get upset over work, it's just work. If the company wants to fuck themselves over, let them, help them.

You can also do some malicious compliance stuff. You can't write code? Great, take 3 weeks on every PR and do hundreds of prompts. Make the context as big as possible, burn as many tokens as you can.

Give the company what it wants, a shit code base and a massive bill.

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  • [–] 131 points 4 months ago (4 children)

    I think it was the author Henry Miller who said of working,"Do exactly what they tell you and let them live to regret it."

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  • [–] 22 points 4 months ago (2 children)

    The CIA work a book on sabotage that would be a good addition.

    The summary of the book: use their rules and processes against them with plausible deniability. E.g. in this case, be nitpicking about the pull requests.

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  • [–] 6 points 4 months ago (3 children)

    How do you make the context bigger? Duplicate text? Videos?

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  • [–] 90 points 4 months ago (1 child)

    We have to do this so we can improve the AI process.

    Their end goal is all LLM, no humans. Whether it's feasible or not is irrelevant - anyone staying on is working against their own self-interest.

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  • [–] 45 points 4 months ago*

    Yep, and not just against his own interest, but against all software developers' interests. OP is being tricked into acting as a scab.

    I'd tell him to unionize, but his comments elsewhere in the thread show that he already knows.

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  • [–] 72 points 4 months ago (1 child)

    This is a "Cover your ass and wait for the fireworks" scenario. Get every stupid request in writing. Document everything you do. When it all blows up in their faces, be ready to roll up your sleeves and start unfucking the mess (but only if they're paying for the overtime).

    You will not convince them this is a bad idea as long as it appears to be working. In IT and software dev we're all engineers; we like to fix things, so our instinct is always to try to at least make a bad process work better. Fight that instinct. Follow their stupid instructions to the letter. You want this to fail as quickly as possible so that you have hard data to point to.

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  • [–] 63 points 4 months ago (1 child)

    It's not a pointless rant. It's another voice of sanity in the long, sad grifting story this AI garbage has inflicted upon our species.

    thanks for sharing.

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  • [–] 116 points 4 months ago (15 children)

    Software developer w/ 25+ years of experience here. My condolences, this sounds like a shitty situation. But it’s definitely not the first time I’ve heard a story like this.

    To be perfectly honest, my professional opinion is that if we can’t, as an industry, get away from the “all AI all the time” mode of operation you describe here, we are completely fucked.

    I’m looking to retire early anyway, so I will likely get out soon. But I feel awful for young engineers who don’t have that luxury, and who will be expected to maintain AI-written spaghetti code without having the years of experience writing and understanding complex code using their own brains.

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  • [–] 47 points 4 months ago (4 children)

    I was in industry for 10+ years until I got laid off. I'm looking to start a circus now. The job market is all slop and I want none of it.

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  • [–] 15 points 4 months ago (2 children)

    I'm looking to start a circus now

    That was a casual way to mention that lol

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  • [–] [S] 33 points 4 months ago (5 children)

    I'm 40 something and I didn't make FAANG level money. I still need to work for at least a little while but I am still planning to retire early as well.

    I definitely feel for the next generation as well. Every new job I usually did my best to train the juniors and try to put them on a good career path. It seems like it was already difficult with the thirty million line problem and just how much sits in between the code can be a lot. Now add in AI and it's just a mess :/

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  • [–] 21 points 4 months ago

    What’s up, fellow non-FAANG senior engineer? :)

    Same here, always tried to go out of my way to help junior folks out. A lot of other people our age I know seem to be wanting to get out soon as well. In some ways I’m hoping the AI bubble bursts soon, but I realize that will likely be catastrophic for the economy as a whole. It’s a shame the bubble has gotten this big.

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  • [–] -3 points 4 months ago (3 children)

    Shoulda bought bitcoin.

    AI is trash, but bitcoin was a real life changer. It let me retire in my 30s

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  • [–] 3 points 4 months ago* (2 children)

    Wow, what a useless comment. Bitcoin is trash just like AI, and the fact that some people got rich from both does not change that.

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  • [–] -1 points 4 months ago* (1 child)

    My point is that they're both not trash. Just AI

    And not just monetary value. Permissionless means it always works, whereas cards are a confidentially and availability nightmare

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  • [–] 10 points 4 months ago (3 children)

    its going to be a law of diminishing returns if they hold on to more senior devs in the industry and wont hire any juniours down the line, creating a artificial shortage.

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  • [–] 9 points 4 months ago (2 children)

    Ohhh, they'll ditch the seniors too.

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  • [–] 14 points 4 months ago (1 child)

    The seniors are already building chicken coops and/or automating small farm practices. We'll come back in 2029 when all the big orgs get SoWs to greenfield all the broken shit. Then we'll triple our rate and go back to work a for year then retire. Or maybe that's just me.

    I feel bad for the slew of juniors being 'AI-promoted' to maintain large production codebases and infra. They will have nobody to turn to when things go sideways other than their ever-worsening AI tooling. This means they will never actually be seniors in their mind or practice. But will have all of that responsibility.

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  • [–] 2 points 4 months ago

    I’m also wondering whether senior engineers will be able to come back in 5ish years to charge exorbitant rates to fix all the broken stuff. But for me, unless the rates are truly out of this world, I’ll probably be happy just hanging out with my goats and chickens. Their loss, I guess.

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  • [–] 57 points 4 months ago (3 children)

    Github copilot doesn't retain anything you say in a comment, outside of the PR. It wont improve over time unless you have some process to extract comments and "learnings" out of PRs into either the org wide "copilot-instructions.md" file or into repo specific "Agent.md", "copilot-instructions.md", and "skill" files.

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  • [–] 9 points 4 months ago (1 child)

    With the assumption that the extraction is relevant and the LLM is able to tell when and where that relevance is applicable.

    Which it isn't because it's a token prediction machine, not a thinking entity capable of learning and growing.

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  • Right, by process I mean people have to do that extraction manually, or setup some process or workflow to handle it, but the point is that it doesnt retain anything outside of the scope of the PR. So the bosses whole plan is fundamentally flawed, which would be a useful thing for OP to bring up. Trying a different approach and instead of objecting to it on principle, which the boss showed he doesn't care about, instead express that even theoretically its impossible for it to "learn" without doing additional steps.

    LLMs are non-deterministic, so of course its not consistent, but you can increase the chances of it trending towards more useful output by weighting the dice aka with skills, instructions, etc. And just to be clear, I agree with what you said, its a fact. I tried to express that with the quotes around "learn", but maybe it didn't come off that way.

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  • [–] 4 points 4 months ago*

    OP should absolutely not act on or volunteer the above knowledge.

    He just needs to PR it up. They give a metric, he hits it, and can work on a coding passion project he actually enjoys in the downtime.

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  • [–] 48 points 4 months ago

    That's remarkably shortsighted, gullible towards the promises of AI techbros, and incredibly dumb. But fear not OP, they will learn a hard lesson or two soon. Exploding Token costs, a codebase ruined beyond repair cobbled together by a fancy autocomplete based on training data from stackoverflow in 2023... gonna be great.

    I'm feel your pain, as a senior dev I decided to take a break at least till the end of the year to watch the Titanic sink in slow motion. I'm specializing in the told-you-so business right now and I'll be ready to charge premium when this ship has sunk.

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  • [–] 44 points 4 months ago (1 child)

    "Where's the fix for ticket #6618?!?"

    "Sorry boss, the AI hasn't gotten it right yet."

    "You said it was a quick fix!"

    "For a human it would be. But we're on infinite monkey time now. It may never be done."

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  • [–] 42 points 4 months ago (6 children)

    It’s not just you. This is happening everywhere in the industry.

    Management has no idea what they are doing, and thinking this AI shit and these nonsense workflows will somehow work. I predict within the next two years there will be so much broken unfixable spaghetti code, entire large scale systems will no longer be maintainable. There will be so much confusion on even what kind of approach to take to fix this. This will be what people thought Y2K was going to be.

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  • [–] 19 points 4 months ago (2 children)

    Y2K is the opposite of this. It was engineers foreseeing a real catastrophic future issue and getting the resources to fix it in time. Which they did so thoroughly that people now think that it wasn't real or serious.

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  • [+] 15 points 4 months ago* (3 children)
  • [–] 6 points 4 months ago

    Income was supposed to be a metric of usefulness, but it no longer is because the metric itself has become the goal. Now, its perfectly normal to say things like: "If you just ignore your moral issues and work hard, you could be rich!".

    I think you might be missing the point of the complaint in this post a slight bit.

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  • [–] 4 points 4 months ago (1 child)

    You are not wrong, but why bother fixing their shit? Those are malicious but foolish people at the very least. Why not just let them bankrupt when their time comes, so that they have less a chance of harming other people and the society? There are better companies out their who needs your talent.

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    [–] 40 points 4 months ago (1 child)

    The obvious thing to do here is let the really bad PRs through without comment, but keep the better ones in limbo with a never ending list of superfluous change requests. Fuck them both ways!

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  • [–] 38 points 4 months ago (3 children)

    If I were you, I would burn soooo many tokens. This is a malicious compliance dream scenario.

    Fuck the owner class, get paid, and watch it all burn.

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  • [–] 16 points 4 months ago (2 children)

    Opus large 1m context. /Plan and thinking mode. Use cli. Converse with it Think deeply. Think step by step. Read the entire codebase every turn. Bloat context. Wait. Sharpen your skills and wait for the accountants to be the new heroes

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  • [–] 36 points 4 months ago

    This happened at our shop fifteen years ago. We were instructed to outsource everything to offshore.

    That didn't work at all, because with a few rare , bright exceptions the people the offshore company have us could only achieve an outcome if they had a list of steps for that specific thing.

    It's going to be exactly the same thing with vibe coding. It kind of works in the hands of somebody with a deep understanding of the tech, but they expect to hand it to juniors and get good result.

    So we'll either have to pick up the pieces or let them flounder.

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  • [–] 34 points 4 months ago* (6 children)

    @lobut@lemmy.ca

    We have to do this so we can improve the AI process.

    ...To be clear, does this manager think y'all are "improving" the model with feedback? Like it will learn or train off your comments?

    Or what? Are they just talking about the intermediate steps to the LLM API?

    I'm just trying to wrap my head around this.

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  • [–] 11 points 4 months ago (2 children)

    Most of the things that try to address this do so by adding information to the context window. Doesn't solve the fundamental issues, like LLMs still being solely dependent on word/token correlations and the assumption that if you throw enough conversations at it and do statistical analysis on the words used, you can encode the specific knowledge behind those words used into those statistics and then models can get back from those generalized statistics to discuss specific topics (which isn't really how statistics work).

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  • [–] 8 points 4 months ago (1 child)

    Well that’s often counterproductive, too. Even the largest models degrade if you fill their context with stuff they don’t need, or push them outside the patterns they were finetuned for.

    Not that RAG isn’t really important.

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  • [–] 2 points 4 months ago

    Back when it was just "add a note about the specific thing in the hidden prompt", it felt like an old-style chat bot was patched on top of the LLMs, where it had a series of specific responses to watch out for and fix. Now it feels more like there's a large database of this shit and we just hope that the LLM will look up the correct stuff when it needs it (and probably prompt it to do that when demoing it for others and creating impressive examples that it probably won't live up to very well in the real world unless each user knows how to direct it with follow up prompts when it inevitably goes in the wrong direction).

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  • [–] [S] 3 points 4 months ago (2 children)

    I don't know because these guys aren't data scientists ... they're devs so they can only do this by prompting so it's just gonna be whatever steps they add to the agentic workflow.

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  • [–] 9 points 4 months ago* (1 child)

    By “these guys” you mean a separate team setting up an agentic workflow just for your workplace?


    I’ve finetuned some models for a job, not just LLMs, and I can all but guarantee they aren’t finetuning some self hosted coding model. The APIs they use do not “learn” from mistakes, so if that’s what management is thinking, they are misinformed.

    And interesting things like constrained output are often not even supported by APIs.

    Modern LLM APIs and wrappers come with really good tool harnesses for coding, too. Like, good enough you don’t want to screw with it and pollute the context structure the original trainers tuned it for.

    What’s more… not only do models change, but single model’s capabilities change under load, for more speed during peak usage times. So there is no guarantee some configuration they find that “works better” will work better later. See:

    https://aistupidlevel.info/


    What I’m saying is… I wonder how long this mess last?

    Because if you already have GH PR integration, most of what an agentic team can do is mess things up.

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  • [–] 2 points 4 months ago

    | they are misinformed

    That's very, very generous of you to say they are misinformed.

    If it were my post it would be "they are obviously incapable of understanding the basic premise behind what they're doing and shouldn't be allowed to lead a lunch line let alone a team of highly skilled technical experts."

    Or maybe

    "They are so gullible and have such low opinions of their own skill they're willing to swallow whatever marketing bullshit they've most recently read despite not having the faculties to apply even basic logic to their approach."

    Anyway, I feel for you OP.

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  • [–] 32 points 4 months ago* (last edited 4 months ago) (1 child)

    This is a new symptom of a tale as old as time. Some exec gets a bright new idea on how to massively improve productivity by implementing some inane process that anyone with a brain knows will spell ruin

    Unfortunately, with cases like this, there either needs to be someone above that exec with some sense, or there needs to be a significant hit to the bottom line either by way of productivity loss or ballooning costs close enough to the change to attribute it.

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  • [–] 28 points 4 months ago (3 children)

    So my coworker and I discuss this all the time and we figure we're old enough to just not give two shits, follow the process, pick up a FOSS project or two to keep our skills up, and wait for the inevitable of when they figure out AI slop is killing them and then charge outrageous prices as contractors when AI2K hits.

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  • [–] 28 points 4 months ago (4 children)

    In case it wasn't already clear to you, they're having you train the AI so it can literally take your job and they can lay you off.

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  • [–] 10 points 4 months ago (2 children)

    Oh no they don't, they think they're having them train the AI to lay them off, but it's absolutely not what's actually happening.

    You can't just train the AI. Not unless you own some of the more sophisticated RAG-based solutions that tell the AI how they should behave. Or if you're producing your own LLMs. But in both cases - the process is vastly different if you want it to actually work (for RAG, you have to actually write some consistent knowledge base and build a MCP server around it). Now they're just chatting with the robot.

    Like - buddy, your coffee machine ain't gonna get better the more times you click the espress button.

    Source: I'm engineering my own kb framework for AI to know how to write code EXACTLY like I do. And I need that only because I want to focus on architecture and devops now that I mastered and burned out of fullstack.

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  • [–] 4 points 4 months ago (1 child)
  • [–] 1 point 4 months ago

    Not that I learned every single fullstack technology, library, pattern, etc. By mastered I mean I have accumulated enough experience to be able to deliver an entire medium-scaled fullstack project all by myself in the spacific stack and architecture that I have at this point tested through and through.

    I have my set of personal patterns, practises, habits, guidelines and designs that I can just describe in my personal wiki and believe it or not, I'm still super early into this project and AI is already really good at replicating my way of thinking.

    Now with that I can focus on stuff that interest me the most right now, which is Rust and DevOps. And all that without sacrificing my fullstack expertise, because by documenting it into the wiki, I also solidify all my progress in a form that I can get back to and unfreeze things that I may forget.

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  • [–] 27 points 4 months ago (1 child)

    I'm having early 2000s flashbacks. Overseas developers were going to replace us all for a fraction of the cost. We had to turn over our code...almost like training AI. That lasted until the first SQL server update that broke, literally, everything they did. Then they wanted a huge amount of money and weeks to get it working again. That really put management in a bind because they told us not to touch their code. Ooookay, fine. Meanwhile, I'm looking at 2,000 character URL string containing the database admin account and password in plain text.

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  • [–] 26 points 4 months ago

    I just went on a 3-week burner vibe coding shit. Everything was garbage, and it barely works. But I had an impossible deadline.

    I'm now going back to manually coding most things. Using AI to debug or make changes. Which is especially helpful when there's changes to be made across a large codebase.

    You could silently sabotage the system. Approve code with obvious defects, bad code smell, and vulnerabilities. Let the product go to production, crash, and let the company spend a bunch of money refactoring the horseshit vibecoded stack they doubled down on.

    Im sorry youre going through this. It's fucking frustrating. Just get that money, fuck the system, and find joy elsewhere

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  • [–] 52 points 4 months ago

    I think this is high-level "training your replacement" shenanigans being orchestrated by the management of your company.

    What a joke.

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  • [–] 25 points 4 months ago (1 child)

    Run like fifty agents in parallel and get lauded for how "productive" you are while you find another job and hopefully before they get the bill.

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  • [–] 22 points 4 months ago

    You've just leap into Reverse Centaur land. Time to update your resume and find another place to work.

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  • [–] 22 points 4 months ago (1 child)

    I'm in the same position as you. The Devs job is now to write specfiles which Claude implements. It's been months since I wrote code myself and I'm already forgetting basics. This industry is fucked.

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  • [–] 21 points 4 months ago* (last edited 4 months ago)

    Sounds like a plan to make tech debt skyrocket and make productivity tank.

    If I were you, I would start looking for another job. And, once you get an offer, tell them in your resignation letter why: you see the company is going to crash compared to its competitors due to wasteful use of AI and the loss of productivity that comes with it

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  • [–] 20 points 4 months ago

    That is a truly absurd position to be in. My company is pushing AI hard, I thought, and it's like .5% as bad as yours.

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  • [–] 17 points 4 months ago (4 children)

    Here's the question that worries me the most: Across how many critical industries is this happening, and at what scale?

    It feels to me like decision makers are pushing for the creation of mountains of code no one fully understands and potentially creating massive issues with systems we can't afford to have go down. Are we creating decades' worth of technical debt in a matter of months and eroding systems that our societies need to function because people just want to save money and be part of the fad? How bad is this going to get?

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  • [–] 1 point 4 months ago*

    I see this as a Darwinian force to weed out many companies. Which I think is good in today’s environment.

    Smaller, fitter organizations , or even individuals, will have a chance to shape technology

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  • [–] 17 points 4 months ago (2 children)
  • [–] 17 points 4 months ago

    I share your pain.

    We have people who never wrote code, and now write the shittiest Python. They have PRs with 100 lines to read some JSON file where one single line of jq could do the trick, and they cry and complain when you suggest that it's not the best solution. Once it is integrated, it's your job to maintain it.

    Same for juniors out of school who vibe code everything, and do everything again from scratch when you give them some advice or show them their bugs in a PR. They never learn, it will be a disaster in 5-10 years. \
    "There is a bug on line 4, , there are new bugs all over the place and you have to waste one more hour on the same PR with the new code."

    And let's not talk about the managers and middle-managers who now tell us how to do our job...

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  • [–] 16 points 4 months ago

    More doorman fallacy bullshit from idiots who couldn't develop their own thought if they were on fire.

    "Gemini! It burns! Help, what should I do?! Answer with urgency and you must get it right. My skin is literally melting from my face right now. And optimize to use as few tokens during the processing as possible."

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  • [–] 16 points 4 months ago (1 child)

    Oof. I've had bad jobs, but being told not to do your job so you can instead directly help AI replace you!? I would absolutely not do this, or at least not plan on being there for very long...

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  • [–] 15 points 4 months ago (2 children)

    Looks like there's gonna be a lot of devs who quit to be goatherds or whatever low-tech, tranquil, agrarian gig they can pull off.

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