golang-documentation

To generate AI-friendly Go documentation, use structured frontmatter, godoc comments, package docs, and an llms.txt file. This standardizes metadata and examples so AI agents can reason about your library or CLI and understand usage patterns.

The best way to structure a Golang README is to use structured sections with consistent frontmatter, detailed examples, and contributor guidance. This ensures discoverability for humans and provides AI agents with clear, standardized usage patterns.

An llms.txt file improves Go project discoverability by providing a machine-readable outline that AI agents can parse. It standardizes documentation patterns, enabling AI assistants to quickly reason about the codebase and explain library or CLI usage.

Yes, you can use standard godoc comments for both humans and AI. By enforcing best-practice frontmatter and structured package docs alongside godoc, you create comprehensive documentation patterns that scale for human onboarding and AI-assisted reasoning.

For a new Golang library, you need a README, CONTRIBUTING, CHANGELOG, package docs, godoc comments, and an llms.txt file. These comprehensive templates enforce consistent metadata and accelerate onboarding for both human and AI contributors.

Structured frontmatter and contributor guidance are required to ensure consistent metadata across Go projects. Enforcing these best practices standardizes documentation patterns, which improves discoverability and helps AI agents accurately understand your codebase.