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Git Pitcher

Git Pitcher turns a GitHub repo into an evidence-grounded, agent-ready build plan using Repo Read, Audit, and Build Pack outputs for use with AI coding agents.

AI CodingDeveloper ToolsCoding AssistantsProject Planning

About Git Pitcher

Git Pitcher

Git Pitcher is a beta tool that takes a GitHub repository and produces a structured build plan that an AI coding agent can execute. It first reads repo signals such as the README, manifests, tree paths, selected source files, issues, commits, releases, stars, contributors, license, fork state, and private/public state. A deterministic signal layer then classifies the repo, detects stack and commercial plumbing, flags gaps in auth, billing, tests, docs, and observability, and names evidence gaps before AI generation. Outputs include a Repo Read (opportunity, wedge, risks, stack, first moves), a readiness Audit (present, partial, and missing foundations with evidence and remediations), and a Build Pack (phases, entities, routes, services, risks, and AI coding tool prompts). Results can be saved and reused as Markdown, share links, issue drafts, and revision history. The page says it is designed to complement tools like Codex, Cursor, Claude Code, and GitHub Copilot, and offers a sample repo try-out.

Key features

  • Reads GitHub repo signals including README, manifests, tree paths, selected source files, issues, commits, releases, stars, contributors, license, fork state, and visibility
  • Deterministic signal layer that classifies the repo, detects stack and commercial plumbing, and flags missing auth, billing, tests, docs, and observability
  • Repo Read report scoring opportunity, wedge, risks, stack, and first moves
  • Readiness Audit identifying present, partial, and missing product foundations with evidence and practical fixes
  • Build Pack with phases, entities, routes, services, risks, and AI coding tool prompts
  • Saved, reusable outputs in Markdown, with share links, issue drafts, and revision history
  • Sample repos available to try

Best suited for

  • Developers deciding what to build from an existing GitHub repo
  • Teams preparing a repo for AI coding agents such as Codex, Cursor, Claude Code, or GitHub Copilot
  • Reviewing readiness gaps in auth, billing, tests, docs, and observability before building

Pricing

Not stated on the website. The page lists credit costs per step (Repo Read 1 credit, Audit 2 or 5 credits, Build Pack 3 or 6 credits, with PRO labels), but no plan prices are given.

AI codingGitHubdeveloper toolsreadiness auditrepo analysisagent promptsbuild planning

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