I built PRScope because most AI PR review tools felt noisy or shallow.
PRScope reads a pull request diff, sends it to your chosen model (OpenAI, Anthropic, Ollama, or any OpenAI-compatible endpoint), and posts a structured review comment directly on the PR.
Instead of spamming inline comments, it generates:
Risk assessment summary
Findings table (severity, category, file)
Detailed explanations + suggested fixes
Positive feedback where appropriate
Key design decisions:
You bring your own API key
No hosted dashboard
No vendor lock-in
Works with local models via Ollama
GitHub Actions integration
The goal wasn’t to replace human reviewers — just to give teams a strong first-pass review in under a minute.
I built PRScope because most AI PR review tools felt noisy or shallow.
PRScope reads a pull request diff, sends it to your chosen model (OpenAI, Anthropic, Ollama, or any OpenAI-compatible endpoint), and posts a structured review comment directly on the PR.
Instead of spamming inline comments, it generates:
Risk assessment summary
Findings table (severity, category, file)
Detailed explanations + suggested fixes
Positive feedback where appropriate
Key design decisions:
You bring your own API key
No hosted dashboard
No vendor lock-in
Works with local models via Ollama
GitHub Actions integration
The goal wasn’t to replace human reviewers — just to give teams a strong first-pass review in under a minute.
Would love feedback, especially on:
Signal vs noise ratio
Prompt structure
What real teams would need for adoption