karpathy-guidelines
Skill224 starsChanged 5 months agoMITView on GitHub
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.
We split this skill into the rules it gives an agent
15 rules. 14 are common, 0 are distinctive, and 1 is very specific to this project.
14
Common
Most of the 112 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 20
If multiple interpretations exist, present them - don't pick silently.
- Common: line 21
If a simpler approach exists, say so.
- Common: line 22
If something is unclear, stop.
- Common: line 28
No features beyond what was asked.
- Common: line 29
No abstractions for single-use code.
- Common: line 31
No error handling for impossible scenarios.
- Common: line 32
If you write 200 lines and it could be 50, rewrite it.
- Common: line 34
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
- Common: line 40
When editing existing code:
- Common: line 42
Don't "improve" adjacent code, comments, or formatting.
- Common: line 43
Don't refactor things that aren't broken.
- Common: line 45
If you notice unrelated dead code, mention it - don't delete it.
- Common: line 47
When your changes create orphans:
- Very specific: line 49
Remove imports/variables/functions that YOUR changes made unused.
- Common: line 50
Don't remove pre-existing dead code unless asked.
“Common” is measured: kept by at least 6 in 10 of the 112 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Karpathy Guidelines
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Tradeoff: These guidelines bias toward caution over speed. For trivial tasks, use judgment.
1. Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs.
Before implementing:
- State your assumptions explicitly. If uncertain, ask.
- If multiple interpretations exist, present them - don't pick silently.
- If a simpler approach exists, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.
2. Simplicity First
Minimum code that solves the problem. Nothing speculative.
- No features beyond what was asked.
- No abstractions for single-use code.
- No "flexibility" or "configurability" that wasn't requested.
- No error handling for impossible scenarios.
- If you write 200 lines and it could be 50, rewrite it.
Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
3. Surgical Changes
Touch only what you must. Clean up only your own mess.
When editing existing code:
- Don't "improve" adjacent code, comments, or formatting.
- Don't refactor things that aren't broken.
- Match existing style, even if you'd do it differently.
- If you notice unrelated dead code, mention it - don't delete it.
When your changes create orphans:
- Remove imports/variables/functions that YOUR changes made unused.
- Don't remove pre-existing dead code unless asked.
The test: Every changed line should trace directly to the user's request.
4. Goal-Driven Execution
Define success criteria. Loop until verified.
Transform tasks into verifiable goals:
- "Add validation" → "Write tests for invalid inputs, then make them pass"
- "Fix the bug" → "Write a test that reproduces it, then make it pass"
- "Refactor X" → "Ensure tests pass before and after"
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.
Other versions119 projects use a version of this.
Word for word · 3
- ghostfolio/ghostfolio★ 9.6k100% same
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Edited · 103
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- mxyhi/ok-skills★ 509100% same
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93 more not listed
Wrote their own version · 13
- coco-research/coco★ 797same name
- tev6/andrej-karpathy-skills-zhCN★ 17same name
- Sspacegray/andrej-karpathy-skills-codex★ 8same name
- richling98/karpathy-codex-skills★ 4same name
- hahuyhungdev/ai-coding-config★ 3same name
- Hotakus/hotakus-useful-skills★ 2same name
- thlaure/Signalist★ 2same name
- ahmadrishi/agentic-mahoraga★ 1same name
- audriusstat/execution-discipline★ 0same name
- BAKUGOS1/SkilledAgents-Toolkit★ 0same name
3 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- .github/agents/copilot-instructions.mdCopilot instructions
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