DiffGate - Human Review Gate for Agent Edits
Flag which AI code changes need human review so vibe coding stops causing more fixes than features.
- Problem
- People using AI to code often complain they are changing things every day and still have to fix every spot themselves, with bugs everywhere and more rework than progress. AI makes many edits across a wide scope each round, so it is hard to tell which fields, APIs and edge cases were silently changed, and small edits trigger cascading issues.
- Solution
- A local-first change audit tool that parses the coding agent's diff, classifies risk (API contracts, DB schema, edge cases, error handling, permissions), generates a context-rich review checklist for high-risk changes, and surfaces the assumptions the AI made and tests it did not cover.
- Users
- Individual developers and small teams using Claude Code, Codex, Cursor and similar coding agents.
- MVP
- Ingest Git diffs or agent logs; rule library flags high-risk change types; generate a checkable review list; one-click jump to relevant files and lines; block unreviewed high-risk merges in CI.
- Revenue
- One-time purchase for individuals, per-seat subscription for teams; advanced tier with CI integration and custom rules.
- Why now
- Vibe coding has exploded edit volume while human review capacity has not kept up, and existing tools only show generic diffs. Indie developers can differentiate quickly with a rule library plus local parsing.