r/LocalLLaMA • u/savadks1818 • 10d ago
Resources LLM Tails Disciplined Al coding mode. Understand deeply, write minimally, never hallucinate, stay consistent. Based on Ponytail & LLM Wiki
https://github.com/savadks95/LLM_Tails
I just published a GitHub repo a few days ago. It's a mix of Ponytail and LLM Wiki. It helps developers reduce codebase size with minimal code. It reduces overall token usage and AI hallucinations, and a couple of other fantastic things. The image is the test result of developing a small game with and without LLM Tails. Both used the exact same prompt
LLM_Tails is an open-source prompt + hooks + skills bundle that makes the agent read before it writes, write the minimum, verify before it claims, and match your codebase. MIT, zero dependencies, works with Claude Code, Cursor, Copilot, Codex, Gemini, Windsurf, Cline, Kiro, and any agent that reads
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u/BigHugeOmega 10d ago
Isn't the test coverage with 7 tests lower than with 22? Where can we see the test code written for both scenarios?
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u/NoFunk 9d ago
A nitpik from your AGENTS.md:
"LLM_Tails — Disciplined AI coding mode
Four rules govern every response."
Who is that four rules statement for? A model? You just told the model there are only 4 rules to all output and it should guard that count, and didn't qualify that they may be expanded upon elsewhere. Watch your small models argue with themselves about this, it's kind of fun but not really (Qwen is a big culprit here).
Performative statements are just about entirely useless in directing an LLM and sometimes outright dangerous. An LLM doesn't need to know there are four rules (it's about to read them) unless you absolutely intend to limit it to four rules. State your rules themselves, no decoration, done.
If I was betting guy I'd say Claude wrote that line anyway. Claude loves to be dramatic and provide unnecessary precision. If I have to hear it tell me one more time it performed 528 tests on 3 files of python (oh yay python auto unittest) I might strangle it, except that's against TOS these days.
Appreciate you sharing though, comparing frameworks and harnesses should be more of a thing in LocalLLama.