karpathy-guidelines

To prevent common LLM coding mistakes, apply behavioral guidelines that enforce surgical changes, surface hidden assumptions, and define verifiable success criteria for each task. This approach reduces overcomplication and ensures code clarity.

The best guidelines for LLM code review focus on making surgical changes, maintaining style consistency, and verifying that defined success criteria are met. This prevents overcomplication and ensures the generated code remains clear and effective.

You can ensure LLMs make surgical changes by applying behavioral guidelines that restrict edits to only necessary parts of the code. This approach maintains style consistency and prevents the model from overcomplicating unrelated logic during refactoring.

LLM generated code becomes overcomplicated when assumptions are not surfaced and success criteria are undefined. Fix it by applying behavioral guidelines that promote surgical changes, goal-driven execution, and explicit verification for each coding task.

You do not need specific tools to apply Karpathy guidelines for code quality. The guidelines are behavioral rules for LLM code development that require no dependencies, focusing on making surgical changes and verifying success criteria directly.