Karpathy Guidelinesv1.0.0

A startup needs to refactor a monolithic codebase into microservices. The Karpathy guidelines ensure minimal changes, avoid over-engineering, and define clear success criteria for each service extraction.

A developer fixes a critical bug in a legacy system. The guidelines prompt precise, surgical changes without refactoring unrelated code, and require writing a test to reproduce the bug before fixing.

An AI code reviewer uses these guidelines to provide feedback that prioritizes simplicity, avoids speculative features, and ensures every change links to a user request.

A team implements a new feature while adhering to the 'Think Before Coding' principle. They explicitly state assumptions, simplify when possible, and break the task into verifiable steps.

A self-improving agent uses the guidelines to clean up dead code after changes, ensuring only necessary removals and logging learnings for future tasks.

Offer the guidelines as a core feature in an AI coding assistant. Developers pay a subscription for adherence to best practices, reducing time spent on code review and rework.

Provide consulting services where the guidelines are applied to client codebases, with output including structured plans and validation tests. Clients pay for improved code maintainability.

Offer workshops and certification for developers to master the Karpathy guidelines, applicable in organizations aiming for consistent code quality.