ReviewPulse – Risk radar for AI-generated PRs

Helps dev teams triage the flood of AI-generated code and focus review where it matters

Problem

Teams adopting AI coding agents see PRs and line counts explode; reviewers read thousands of lines of generated code per hour yet have no way to tell which changes carry real risk. Existing review tools just show the diff without ranking or explaining AI-generated changes.

Solution

Analyze each PR for change impact: identify core modules, external calls, and data flow; rank risk and produce a human-review checklist. Let reviewers ask the original AI agent to explain its reasoning directly in the PR thread.

Users

5–50 person engineering teams heavily using Cursor, Claude Code, or similar agents, especially startups without dedicated QA

MVP

GitHub PR webhook integration; static impact analysis with risk scoring; prioritized review checklist; one-click comment to query the original agent; Slack summary digest

Revenue

Per-seat subscription ($8–12/user/month) with first 3 seats free; optional usage-based overage for large PR volume

Why now

AI-generated code volume has outpaced human review capacity; a solo dev can ship this as a GitHub App without competing with general-purpose code hosts