project-conventions

Project conventions are codified by documenting specific patterns for error handling, testing strategies, code style, and file organization. This documentation ensures consistent development practices across both AI agents and human developers.

Project conventions are the established patterns for error handling, testing, code style, and file structure. Documenting them solves the problem of inconsistent development practices, ensuring maintainability and clear guidance for AI team members.

You set up guidelines by codifying project-specific conventions into a reference document that defines standards for file organization and code style. AI agents read this to understand how to format code and structure new components.

Yes, you can use a conventions reference to standardize testing strategies. By documenting testing practices, both human developers and AI agents follow identical guidelines, improving output quality and consistency across the codebase.

The best way to onboard an AI agent is providing a codified conventions document. When a new AI agent joins, it reads the skill to immediately understand how to write tests, format code, and structure components according to your rules.