PR Autopilot is an AI-powered pull request intelligence platform built to solve one of the biggest engineering bottlenecks: code review risk analysis. Using IBM Bob, the platform analyzes pull request diffs together with full repository context to detect hidden dependency impacts, transitive breakages, and high-risk modules before a reviewer even opens the PR. The core feature is the Blast Radius Graph — an interactive D3.js visualization that maps directly changed files, transitively affected modules, external dependencies, and safe untouched services in real time. Developers can click any node to view IBM Bob’s reasoning for why a file or service is considered at risk. PR Autopilot integrates with GitHub webhooks, automatically triggering analysis whenever a pull request is opened. The backend, built with FastAPI, fetches repository context and PR diffs, sends them to IBM Bob for repository-aware analysis, then generates dependency graphs, risk scores, changelog drafts, and automated PR summaries. The platform helps engineering teams reduce review time, prevent production outages, and improve confidence in large-scale code changes. By transforming static PR reviews into visual AI-assisted impact analysis, PR Autopilot introduces a new workflow for modern software engineering teams.
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