karpathy-guidelines

To reduce LLM coding mistakes during refactoring, apply structured behavioral guidelines that enforce minimal, well-scoped edits and surface hidden assumptions. This maintains clarity by requiring verifiable success criteria for every change.

Verifiable success criteria in AI-assisted coding are explicit, testable conditions defined before implementation to confirm a change works correctly. They guide surgical edits and surface assumptions to prevent unintended side effects.

To enforce structured guidelines for LLM code review, instruct the agent to apply behavioral rules that surface assumptions and require clearly stated steps. This reduces risk by keeping changes surgical and well-scoped throughout the process.

Yes, applying coding guidelines helps with LLM planning and testing tasks by enforcing structured rules across the entire workflow. This surfaces assumptions early and ensures every implementation step has verifiable success criteria.

The best way to keep LLM code changes surgical and minimal is to enforce behavioral guidelines requiring clearly stated steps and guardrails. This reduces risk by scoping edits tightly and defining verifiable success criteria upfront.

You should use behavioral guidelines for AI coding tasks whenever planning, implementing, testing, or reviewing code. They are essential for reducing mistakes and maintaining quality in real-world projects by surfacing hidden assumptions.