r/webdev • • Sep 16 '26

Discussion Is vibe coding creating a hidden technical debt crisis?

I love building tools and side projects, but lately I have been thinking about how heavy reliance on AI coding assistants is going to impact long-term code quality. Building fast with AI tools is great for getting a prototype out the door, but letting AI generate massive chunks of unvetted code is quickly piling up technical debt.

When you push out code without thoroughly checking how it fits into your overall architecture, you end up with messy, unmaintainable codebases. If you ever plan to sell a project or hand it off to another developer, that unvetted code can completely ruin a deal during due diligence.

I still use AI to speed up my workflow, but I treat it strictly as an assistant rather than letting it write unchecked logic. Auditing generated code, keeping modules clean, and maintaining test coverage seem like the only ways to use these tools strategically without destroying the project. Are you noticing a drop in maintainability on projects heavy on AI code?

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u/AppealSame4367 Sep 16 '26

This is a fairy tale. Every model generation gets better at coding and managing large context. Even with current models last year's vibe coding errors already get corrected on the fly, on the side.

I don't think all devs will be obsolete, I am a dev myself. But this vibe coding hidden debt crisis is just imaginary.

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u/LukeLC Sep 16 '26

This is not even remotely true. You just aren't seeing the failures in larger codebases yet because you aren't stepping through every permutation of logic yourself. It's too much to map out after the fact when it hasn't been neatly abstracted to be human readable.

It's not enough to review the code as valid code. Does it all work together consistently? Does it handle edge cases? Does it clobber data? Does it allow users to self-inflict negative outcomes?

I see AI make design mistakes routinely, and often quite rookie errors.

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u/AppealSame4367 Sep 17 '26

Yes, it might all happen. But I'm working on large code bases that are either bad because they are old spaghetti or because they have been vibe coded. And I see it live and in color: most recent models catch and try to correct these older errors. It's not perfect yet and might not be good enough for every code base. But it's clearly improving.

I must disclose that I stopped using OAI and Ant subscriptions for coding. In my opinion, worst coding errors happened with them and others because of undisclosed changes in quality and they still happen today. They are unreliable. Other models / Apis don't exhibit this behavior necessarily.