Ai Git Bot

We've seen plenty of AI-coded review tools hype themselves as plug-and-play, only to fail in real GitHub or GitLab environments. AI-Git-Bot takes a refreshingly different approach: it's a self-hostable gateway that lets you mix any AI provider with any Git platform — and it actually works for production teams. The deployment is as simple as it gets: one Docker Compose command, and you're up with an admin UI. No Kubernetes, no cloud dependency. That's a big deal for teams that want data sovereignty or use local LLMs via Ollama. The workflow lineup is genuinely useful. PR review with inline comments and chunked diff handling, issue-to-code with build tool validation, AI unit tests that commit to the branch, and full-stack E2E via Playwright with per-PR preview environments. All opt-in per bot, so you can start small. The slash commands (@bot rerun-tests) allow interactive refinement without leaving the PR thread. Where it bites: you need to be comfortable with Docker and Git webhooks. There's no managed cloud version, so ops overhead lands on your team. The documentation is decent but still evolving. If you're looking for a no-code, fully hosted solution, this isn't it. Also, while it supports multiple AI providers, setting up local LLMs requires some fiddling. Compared to CodeRabbit or GitHub Copilot for PRs, AI-Git-Bot trades convenience (managed SaaS) for control. You own all the data, choose your AI backend, and avoid vendor lock-in. For teams that already have Docker and a PostgreSQL instance, the trade-off is worth it. For everyone else, the managed alternatives might be a smoother start. In practice, we'd reach for this when: (1) your team uses self-hosted Git platforms like Gitea or GitLab, (2) you need local or private LLM integration, (3) you're tired of