Slow, noisy code reviews solved by per-commit micro AI review

Slow, noisy code reviews solved by per-commit micro AI review targets a $6.0B = 2.0M development teams x $3,000 ACV. Rationale: roughly 2M software teams globally (SMB to enterprise) purchasing dev productivity and CI/code quality tools, average spend conservatively estimated at $3k per team per year. total addressable market with medium saturation and a year-over-year growth rate of 12-18% annual growth in dev tools and CI/CD adjacent markets driven by automation and AI features.

Key trends driving demand: Shift-left development -- teams are moving static checks earlier in the workflow, creating demand for commit-time analysis.; Edge and local ML inference -- smaller models and better hardware make fast per-commit inference viable without excessive cloud cost.; Git-centric workflows -- near-universal use of Git and hooks provides predictable integration points for a micro reviewer.; AI-assisted developer tools adoption -- rising comfort with AI suggestions in IDEs and CI increases buyer receptivity to automated code feedback..