Graph-Enhanced Code Review acts as a rigorous final gate before code merges by pairing architectural graph analysis with tiered review subagent workflows. Powered by codebase-memory-mcp, it inspects blast radius, dependency cycles, hub and bridge nodes, and test gaps while executing spec compliance and quality checks in parallel with automated test suites. By classifying issues into strict severity tiers and maintaining durable review boundaries, it prevents regressions, validates plan task requirements, and ensures safe code integration.
主要功能
01Parallel review execution combining subagent code inspection with automated test and lint verification
02Automated domain invariant persistence and diagnostic memory logging for fix cycles
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04Tiered graph analysis evaluating blast radius, dependency cycles, architectural hubs, and test gaps
05Strict three-tier issue classification (Critical, Important, Minor) that enforces merge gating
06Plan-aware diff tracking with git range capture and durable review boundaries
使用场景
01Detecting circular dependencies, untested hotspots, and broken APIs across complex codebases
02Verifying task completion against active implementation plans before code integration
03Performing pre-merge architectural quality gates on feature pull requests