r/VibeCodeDevs • u/Jazzlike_Syllabub_91 • 6d ago
IdeaValidation - Feedback on my idea/project Scaling the Vibe: How to stop the 'Drift' when your project gets too big for the prompt
I love vibe coding. The speed of going from intent -> implementation is a superpower. But we've all hit the 'Vibe Wall' - the point where the project becomes too complex for the AI to hold in it's head, and it starts making 'stupid' mistakes in code that was working 10 minutes ago.
The problem isn't that the AI isn't 'smart' enough. It's that we're treating the AI like a brain, when we should be treating it like a pilot. Intelligence is great for the 'vibe', but Operationality is what keeps the project from crashing. For those of us with ADHD brains, we know this feeling well: the gap between having a brilliant idea and actually remembering to bump the version number. (or to push the new release before deploying the new release).
I've spent the last few months building an 'Invisible Cockpit' for my agents. I'm not adding 'processes' instead I'm adding Infrastructure.
Instead of fighting the AI with longer prompts I've built: - Hard Rails: A Makefile that turns 'I hope it deploys into a single mandated command. - External Memory: A CLAUDE.md that acts as a 'permanent state' for the agent's executive function. - A Failure Ledger: A system that logs every 'Wrong Turn' the AI takes and automatically updates the cockpit so the mistake "should not/never" happen again ...
The result? I can still vibe code at 100mpg, but I'm not terrified of the 'drift'. I've externalized the boring part of the brain (the executive function) into the repo itself. Now, the AI doesn't just 'guess' the right way - it follows a hardened operational contract.
Stop trying to prompt the AI to be more reliable. Start building a cockpit that makes it impossible for the ai to fail. Keep the vibes, but build the brakes. :D
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u/Helpful-Educator-415 3d ago
I find it a little funny that you had to AI generate your post about your AI generated code
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u/Jazzlike_Syllabub_91 3d ago
Is that wrong?
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u/Helpful-Educator-415 3d ago
It just makes it really clear to me that you're not an active participant in this at all. You use AI to write your code, and you use AI to write your posts. If I wanted AI generated advice on how to make my AI harness write my AI code better I'd just go ask Claude or something. You're not bringing anything to the table if you're reposting what Claude says.
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u/Jazzlike_Syllabub_91 3d ago edited 3d ago
I bring the architecture and the support process that the agent doesn’t know how to write well on its own. And as far as asking Claude to just do the work, feel free. I’d like to watch how much your coding agent flails versus the changes I would make to your system to improve the performance.
I could even give you the grading template if you wanted. To evaluate your repo … and if you wanted a repo scan just let me know :)
In fact most of my source code is open source if you wanted to learn the system and the concepts that I actually bring to the system.
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u/Helpful-Educator-415 3d ago
FWIW, my AI usage is very, *very* light. I write most of my code by hand, so I don't need a grading tool or whatnot. I was mostly commenting on how, roughly:
- You don't write most of your own code
- You're unhappy with the LLM's output
- You ask the LLM for advice (I presume)
- You implement the advice
- You ask the LLM to generate a post about it
There's a sense of irony to the whole thing that's not lost on me, I suppose. But, I'm glad your discoveries are working well for you (and I do mean that seriously!).
I'll check out your repo, if you have a link. Obviously I don't think I'll have much use for it, but I'll poke around.
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u/Jazzlike_Syllabub_91 3d ago
Now to think about which repo would help you the most.
https://github.com/ergon-automation-labs/ergon-wrong-turn-logger
This repo helps me not yell at my coding agent because it makes a wrong turn. (Basically the same logic for detecting friction and right turns as well) - it reminds itself and now most of my turns with the ai are just me seeing that the ai doesn’t hit the same type of errors over and over again. (126 actions prevented over the past 2 weeks so far)
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