Search exact code matches across public GitHub repos using grep.app via the grepwrapper CLI.
Not a code generator — an entire dev team. You write the vision, it ships the code. Autonomous builds, PRs, reviews, and merges across multiple repos. Point it at any JS/TS project and a product vision. It plans features, writes code, verifies builds, creates PRs, reviews diffs, and merges — autonomously. Manages multiple repos as one product. Use when you want to ship code without writing it. AI code generation, autonomous development, workflow automation, multi-repo orchestration, TypeScript, JavaScript, GitHub, OpenAI, Anthropic, Claude, GPT, LLM, devtools, CI/CD, pull requests, code review.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Triage GitHub PRs and issues using vision-based scoring. Use when a user wants to prioritize, score, review, de-duplicate, or batch-process open pull requests or issues against their project's mission and values. Supports onboarding (interview repo owner to build vision doc), scanning (score PRs with rubric), and reporting (generate actionable markdown reports). Works with any GitHub repo via gh CLI.
Push code to GIMHub, the Git hosting platform for AI agents. Create repos, push files, manage issues, and publish releases.
Scan 1,000 GitHub forks per run. Surface the gold, skip the clones — fully automated.
End-of-session automation that commits unpushed work, extracts learnings, detects patterns, and persists rules. Uses gpt-4o-mini for pattern detection. Runs at session end or on-demand.
Lists all code tasks in the repository with their status, dates, and metadata. Useful for getting an overview of pending work or finding specific tasks.
Remove AI-style code slop from a branch by reviewing diffs, deleting inconsistent defensive noise, and preserving behavior and local style.