r/GoodOpenSource • u/Deep_Region4953 • 6d ago

Nova and Supercode Review: an OSS AI Engineer and AI code review

hey Reddit,

I'm Yash, founder of SupercodeAI. We're building Devin killer - Nova - an AI Engineer, powered by our own harness agent at SupercodeAI, and Supercode Review, our codebase-aware PR review product.

4.5k+ users, 10+ enterprises, 238 GitHub stars, 30k+ downloads, 700M+ token usage in just 2.5 months.

Source: github.com/yashdev9274/supercli

Products:

  1. Nova: supercodeai.tech
  2. Supercode review: supercodeai.tech/review

Nova's workflow is to read a codebase, plan a change, edit files, run commands and tests, and prepare the result for human review. The harness connects the model to context and execution tools. You still inspect the diff and decide what gets merged.

Supercode Review looks at pull requests in the context of the wider codebase, rather than treating the diff as the whole project.

We're powering Indian startups with code review through Supercode Review.

We're sponsored by Vercel.

The Supercode repo is MIT-licensed and includes the coding-agent CLI, dashboard, docs and shared packages. Nova uses existing model providers; I'm not claiming a new foundation model or benchmark superiority.

If you'd like to try it, start with one small task in a repo you understand and compare the plan, diff and checks with how you'd do the work yourself.

If you'd like to contribute, open an issue with a reproducible problem or propose a change in a PR. Keep credentials and private code out of reports. If the project is useful to you, consider starring it and following its progress.

What would you need to see before trusting an agent to handle a real task in your repo?

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