WhatA tool that sits between AI-generated code and production, requiring engineers to demonstrate comprehension of what was generated through interactive explanation challenges before code can be merged.
SignalMultiple commenters describe a worrying pattern where engineers now respond to code questions with 'Claude says...' rather than demonstrating their own understanding, and teams cannot audit AI-generated code through the full stack.
Why NowAI-generated code volume has exploded in the last year, but code review processes haven't adapted — most PRs with AI code get rubber-stamped because reviewers also don't fully understand it.
MarketEnterprise engineering orgs (Fortune 500 + scale-ups) paying for code quality and security; $3B+ code review/security market; gap between static analysis tools (Snyk, SonarQube) and actual comprehension verification.
MoatBuilds a proprietary dataset mapping code patterns to comprehension failure modes, plus high switching costs once integrated into CI/CD pipelines and team workflows.
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