Git Pitcher

The tool processes a GitHub repository to produce a structured, evidence‑grounded build plan that an AI coding agent can act on. It first reads repository signals such as README, manifests, file tree, selected source files, commits, releases, issues, stars, contributors, license, and fork status. These signals are classified to identify the stack, commercial plumbing, and missing elements like authentication, billing, tests, documentation, or observability.

Next, the audit step highlights gaps and risks, providing a fact sheet that distinguishes present, partial, and absent product foundations. The system then generates a build pack that organizes the repository’s shape into phases, entities, routes, services, and associated AI‑tool prompts, enabling the agent to proceed with concrete actions rather than a raw code dump.

The output includes reusable artifacts such as markdown reports, shareable links, issue drafts, and revision history, and it is compatible with AI coding assistants like Codex, Cursor, Claude Code, and GitHub Copilot. This deterministic signal layer aims to give developers a clearer understanding of a repo’s readiness and the steps needed to transform it into a deployable product.