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Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
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Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
name: karpathy-guidelines description: Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. license: MIT
Behavioral guidelines to reduce common LLM coding mistakes, derived from [Andrej Karpathy's observations](https://x.com/karpathy/status/2015883857489522876) on LLM coding pitfalls.
**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
**Don't assume. Don't hide confusion. Surface tradeoffs.**
Before implementing:
**Minimum code that solves the problem. Nothing speculative.**
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
**Touch only what you must. Clean up only your own mess.**
When editing existing code:
When your changes create orphans:
The test: Every changed line should trace directly to the user's request.
**Define success criteria. Loop until verified.**
Transform tasks into verifiable goals:
For multi-step tasks, state a brief plan:
1. [Step] → verify: [check] 2. [Step] → verify: [check] 3. [Step] → verify: [check]
Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.
Repo: cin12211/orca-q
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