Posted by NotAnOtter 12 hours ago
Ask HN: Worth leaving position over push to adopt vibe coding?
I'm a 'senior engineer' with ~5 years of industry experience and am considering moving on from this company because I don't want
1. Be pushed into a workflow that will cause my technical growth to stall or degrade 2. Be overseeing a bunch of AI-generated spaghetti 2-3 years from now
Feel free to address my specific situation but I'm interested in more general opinions.
You should stay there, learn the new tech, and see what happens.
If it works better than you expected, then your mind will be changed and you’ll be well positioned for the new economy.
If it turns out how you expect, now you have experience working with this tooling to inform your positions at your next company.
Either way, a few months in that environment will help your career.
Start looking for a new role that is better aligned with your expectations. You may find it harder than you expect. In which case, you might be glad you didn't burn your bridges in a pique over AI mandates by the CEO & CTO.
Learn the strengths and weaknesses of the new technology and add it to your resume.
Become the AI advisor who can help an organization adopt the tech where appropriate and avoid the traps associated with top-down hype- and fomo-driven adoption.
Also who knows where the AI cycle will be in 2-3 years. My sense is by then we will see the cost of tech debt caused by LLM generated code, the cost of the ignorance and naïveté of vibe coding and the cost of VC money wanting its ROI on a subsidized tech.
What I'd suggest is adapt to it, find ways to push back. Obviously things like "delete entire unit test file & have claude generate a new one" is a bad idea. I've seen claude "monkey patching" a system so that it returns true to the tests.
This issue is going to pop up in the future. Experiment with it on the company's dime even if you've checked out emotionally. You are still doing your job - improving code quality and making sure things run.
The new approach seems to be doing TDD. One, as an engineer, you'll know when AI is bullshitting you with mocks. Even when mocks are BS, you can still test the thing they're meant to represent. 2) AI spits more code than anyone can review. The red, green, refactor approach is one way to keep them on the rails.
I’ve watched Github Copilot do the same thing. I’ve also seen it doubling down on ridiculous things and just spewing crash-laden messes. There seems to be a low upper ceiling on how “competent” it is, which makes sense.
My opinion is that we're going to have about 5 years of this. Managers and C-suite folks are going to do their absolute darnedest to replace and supplement people with AI tools before they figure out it's not going to work. While I appreciate the differences, I remember seeing this ~6-7 years ago with blockchain at my last role. It'll work itself out. In the mean time, you get to contribute to the situation, instead of simply not being present. It's not going to be fun of course.
I don't think we're ever going back from this. There's an entire generation of new coders, and new managers who are growing up with this stuff. It's part of their experience, and suggesting they not use it is going to be akin to asking if you can use a typewriter instead of a computer with a word processor. Some companies will take longer to adopt, but it's coming...
I feel like I'd never use Claude seriously unless someone demanded I used it from day one on a greenfield project. And so while I get to keep evolving my coding skills, I'm a little worried that my "AI skills" will lag behind.
FWIW, in a work environment (and I have not been given the go-ahead to start this at my work) I would start by supplementing my codebase. Add a new feature via AI coding, or maybe reworking some existing function. Start small.
You can use LLMs without letting them run wild on the entire codebase. You have git, so you can see every minute change it makes. You can limit what files it’s allowed to change and how much context you give it.
You don’t have to give it root on your machine to make it useful. You don’t have to “Jesus, Take the Wheel”. It is possible to try it out at a smaller scale, even on critical code.
Is it worth looking? Absolutely! It will be much easier to make a decision when you're comparing your current position to a job offer, rather than comparing your current position to an unknown. I would also add, no matter what you feel about your current job, it's always a good idea to keep feelers out there for new positions. The fastest way up the rank and salary ladders is moving to new positions. It will always outpace internal promotions.
They explicitly asked for general opinions, and provided almost no context which would let me be more specific.
"Is it worth leaving position over push to adopt X" is not exclusive to AI, nor is it a new question, so I addressed the general case.
From my experience, if you're burnt out or starting to burn out then leave, otherwise I recommend staying until you secure another job.
Regarding the situation, they want to delete the tests? Fine, you have git right? Replace it, and let everything set on fire, quietly enjoy the chaos and at some point revert the changes. Or don't, you're leaving anyway.
If that can’t be done where you are, or isn’t valued, you’re in the wrong place.
I’ve been through this with (including but not limited to) PCs, OOP, client-server, SOA, XML, NoSQL, blockchain, “big data”, and indeed, multiple definitions of “AI”. Turns out all but one of those were actually somewhat useful in the end, when applied properly, but they didn’t eliminate the industry. Just roll with it.
While this has some truth, the size of the current "revolution" makes all the others look tiny, especially in terms of how it affects a programmer's day job. Nor did most of those "revolutions" affect every field of programming at once, like this one does. The percent of programmers actually impacted by blockchain is probably in the low single-digits. The percent of programmers using some version of AI tooling 3 years into this is probably >50%, and the more impactful tools will be used more very soon is my gues.
History doesn’t repeat, but it rhymes
No, really. This time is different.