I Wanted AI Code Review I Could Actually Own. So I Built Codra.

I wanted AI code review I could actually own. Not access through a subscription or a black-box service with its own limits. The deployment, credentials, providers, and usage under my control. I kept hitting usage limits mid-week during deep building sessions. The models were capable. The workflow was useful. But access still depended on somebody else's weekly allowance, and centralized platforms can change whenever the company behind them decides to. Pricing, quotas, models, plan boundaries. A workflow that fits this month may sit behind another subscription next month. I could not find a reliable open-source option that gave me the ownership model I wanted. So I built one. That became Codra : A self-hosted AI review engine built around bring-your-own models, your own data boundary, and no Codra-imposed usage ceiling. What Codra Is Codra is an open-source, self-hosted AI code review engine for GitHub pull requests. It listens to pull request events, reviews changed files, posts inline findings, and provides a dashboard for jobs, repositories, model routing, history, usage, and failures. It runs on Cloudflare Workers and uses: Cloudflare Queues for review jobs PostgreSQL through Hyperdrive for storage KV for sessions and cache A React dashboard for operations The GitHub App, model credentials, database, and review history are yours. Provider keys are encrypted with AES-GCM using your deployment secret. Bring Your Own Model, Bring Your Own Limits Changing providers does not require replacing your review history, configuration, or workflow. You configure the provider and model. Supported: OpenAI-compatible APIs OpenRouter Anthropic Google / Gemini Cloudflare Workers AI Why Self-Hosted Matters Here A large frontend repo and a tiny backend repo should not need the same review strategy. Each repository gets its own review settings. You tune triggers, skip generated files, ignore drafts, use mention-triggered reviews, configure labels, set file limits, and define custom ru