karpathy-coder

You can enforce coding principles in a pre-commit hook by running automated checks that detect complexity, diff noise, hidden assumptions, and weak goal verification before code is committed. This ensures surgical changes and explicit assumptions are validated locally.

Diff noise refers to unnecessary or overly broad modifications in staged changes. You detect diff noise by using automated diff analysis scripts that review staged changes and surgical edits, flagging modifications that exceed the scope of the intended goal before reaching CI workflows.

You check for overengineering and hidden assumptions by running automated linting and complexity analysis scripts. These tools evaluate Python and TypeScript codebases to surface architectural pitfalls, detect overengineered components, and verify that explicit assumptions are documented.

Yes, you can integrate automated code review checks into local development and CI workflows by configuring a slash command and a pre-commit hook. This applies coding discipline across staged changes and continuous integration pipelines seamlessly.

The best way to automate goal-driven execution verification is using a dedicated verification script that validates code changes against intended objectives. This surfaces weak verification gaps during reviews and commits before they escalate into bugs.

A pre-commit hook fails to catch hidden assumptions when it lacks an explicit assumption linter. Implementing an automated assumption detection script ensures hidden assumptions in Python projects are surfaced and validated during the commit process.