| I’ve spent the last 2.5 months building a github app that runs LLM-powered code reviews — 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 without needing another human in the loop. I believe agentic tools will play a huge role in the future dev experience — and code review is just the first node. Long-term, I want this to evolve into a multi-layer agentic assistant that supports everything from brainstorming and design to CI/CD. Feature roadmap:
- 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 useful 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) |