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Code is a liability. When I let a LLM take the wheel, I end up with thousands of lines of crappy abstractions and needless comments and strange patterns that take way more brain power to understand than if I did it myself.

My current workflow has reverted to primitive copy paste into web chat (via Kagi Assistant). The friction is enough to make me put a lot of thought into each prompt and how much code context I give it (gathered via files-to-prompt from simonw).

I have little experience with frontend and web apps, so I am trying out a supervised vibe coding flow. I give most of the code base per prompt, ask for a single feature, then read the code output fully and iterate on it a few times to reduce aforementioned bad patterns. Normally I will then type it out myself, or at most copy a few snippets of tens of lines.

What doesn’t work I found is asking for the full file with changes applied already. Not only does it take a long time and waste tokens, it normally breaks/truncates/rewords unrelated code.

So far I’m happy with how this project is going. I am familiar with all the code as I have audited and typed it out nearly entirely myself. I am actually retaining some knowledge and learning new concepts (reactive state with VanJS) and have confidence I can maintain this project even without an LLM in future, which includes handing it over to colleagues :)



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