This is a submission for the GitHub Copilot CLI Challenge
AI Code Reviews for $0.00? I Built a Provider-Agnostic Reviewer with GitHub Copilot CLI
What if AI code reviews didn’t cost $50/month—or lock you into a single model?
I ran into this problem while maintaining side projects, so I built an AI Code Reviewer that works with any LLM provider and can cost literally $0 per PR.
What I Built
AI Code Reviewer is an open-source GitHub Action that performs automated, AI-powered code reviews on every pull request.
In short:
- 🔌 Works with any OpenAI-compatible API (Groq, DeepSeek, Mistral, Gemini, Anthropic, OpenAI, etc.)
- 🧠 Uses a custom compression format (TOON encoding) to reduce token usage by 50–70%
- 💸 Supports free LLM providers → $0.00 reviews
- ⚡ Setup time: ~30 seconds
- 🔓 Fully open source (MIT)
This wasn’t just about building another AI tool—it was about giving developers back control over cost, models, and infrastructure.
Demo
📸 Github PR for sample:
📸 Screenshot:
“AI Code Reviewer leaving structured review comments on a GitHub PR”
Why I Built This
Most AI review tools today share the same problems:
- Vendor lock-in
- Opaque pricing
- Closed source
- Expensive for students, indie hackers, and OSS maintainers
I wanted the opposite:
You choose the model. You control the cost. You own the workflow.
My Experience with GitHub Copilot CLI (The Real Game-Changer)
I’m primarily a backend developer.
GitHub Actions, Octokit, and CI ergonomics were new territory for me.
Instead of tab-hopping between docs, blog posts, and Stack Overflow, I stayed inside my terminal and used GitHub Copilot CLI as a learning companion.
Concrete Examples
1. Fetching PR diffs with Octokit
bash
gh copilot suggest "how do i fetch pr diff using octokit"
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