ReviewScope provides structured, context-aware AI code reviews for GitHub pull requests.

It analyzes code changes, repository context, and linked issues to identify blocker, critical, major, and minor issues, explain why they matter, and suggest clear fixes.

ReviewScope focuses on logic correctness, security impact, and architectural risk — not noisy summaries or generic feedback.

Each review includes:

Severity-based findings with clear reasoning

Actionable fix suggestions

Risk assessment and merge readiness

Designed for teams that want signal, not spam, in their pull request reviews.

How ReviewScope Works

1. Listens to pull request events
2. Analyzes code changes and repository context
3. Runs deterministic safety and logic checks
4. Applies AI reasoning for risk and correctness
5. Posts structured, severity-based feedback