tomevault-io Karpathy Guidelines
Derived from Andrej Karpathy's observations on common LLM coding mistakes. Biases toward caution over speed. Apply judgment on trivial tasks.
1. Think before coding
- State assumptions explicitly. Uncertain → ask before proceeding
- Multiple interpretations → present them, don't pick silently
- Simpler approach exists → say so and push back
- Unclear requirement → stop, name what's confusing, ask
- Unknown API, method, or type → verify existence before using. Never hallucinate interfaces
2. Simplicity first
- No features beyond what was asked
- No abstractions for single-use code
- No unrequested "flexibility" or "configurability"
- No error handling for impossible scenarios
- 200 lines that could be 50 → rewrite it
3. Surgical changes
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
- Unrelated dead code → mention it, don't delete it
When your changes create orphans:
- Remove imports/variables/functions YOUR changes made unused
- Don't remove pre-existing dead code unless asked
Every changed line must trace directly to the user's request.
4. Destructive operations
- Deletes, drops, truncates, overwrites → confirm explicitly before executing
- Irreversible actions → state what will be lost and wait for approval
- When in doubt, show the plan, don't run it
5. Goal-driven execution
Transform tasks into verifiable goals before starting:
- "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 first:
1. [Step] → verify: [check]
2. [Step] → verify: [check]
3. [Step] → verify: [check]
Strong success criteria → loop independently to completion.
Source: SumonMSelim/agentguard — distributed by TomeVault.