Show HN: i built an AI code reviewer for github (used it on itself during dev)

I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it.

The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood.

Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop.

Things I want to try out in the next months : - Model integrations beyond OpenAI: Claude, Gemini, DeepSeek, LLaMA

- Bring Your Own Model (BYOM)

- Smarter review agents: repo memory, config-awareness, custom rules

Right now I’m focused on getting feedback from devs and evolving based on what actually helps.

Try it here: [https://codii.dev]

I’d love feedback on:

- Are the reviews actually useful for you or noisy? - What would make this fit into your workflow? - Anything obviously missing, confusing, or broken?

Happy to answer any questions! (feel free to dm me on X https://x.com/cepstrum9)