enhancePrompt

To add project documentation context to an AI prompt, you can use a prompt-enhancement process that scans root-level guides and doc folders, prioritizing files like CLAUDE.md and README.md. It rewrites your original request by weaving in discovered repo-specific constraints and rules before any task begins.

Prompt enhancement for agentic-workflow tasks is the process of discovering relevant project documentation and summarizing domain rules before execution. It ensures AI assistants receive a rewritten request combining your exact words with context bullets, preventing actions based on thin or incomplete repo knowledge.

You prepare a prompt for a feature change by scanning for overarching instructions such as CLAUDE.md or README.md and pulling topic-specific files relevant to your intent. The resulting enhanced prompt lists product goals, testing rules, and repo conventions alongside your original request.

Yes, prompt enhancement works when no README or CLAUDE.md is found by scanning doc folders for alternative domain rules. If nothing is discovered, it reports what documentation exists or offers alternatives, ensuring your rewritten request still proceeds with whatever context is available.

Yes, you can use Codex dialogue for parallel validation because the prompt-enhancement process optionally recommends it when parallel validation is valuable. The output combines your original words with context bullets and provides Codex dialogue guidance to verify constraints.

The limitations of enhancing prompts with contextualization include relying entirely on the existence and quality of your project documentation. If relevant root-level guides or doc folders are missing, the rewritten request may lack the repo-specific facts, rules, and conventions needed for accurate AI execution.