Codebase Health Annual
A subscription audit service that scans your codebase every quarter and produces a plain-English board-ready report on the technical debt your AI coding tools are quietly creating.
VP Engineering and CTOs at mid-sized software companies who feel AI coding velocity is masking hidden risk
- Quarterly codebase scan flagging AI-specific debt patterns (silent error masking, copy-paste clones, untested generated code)
- Plain-English 10-page report with risk scoring and peer benchmarking
- Executive summary slide deck ready to drop into board materials
- Remediation roadmap with cost estimates and priority ordering
GitClear research shows legacy refactoring dropped 74% since 2023 while AI code volume exploded, and boards are starting to ask engineering leaders about AI ROI beyond velocity metrics.
GitClear's 211M-line study confirms the 74% legacy-refactoring decline (real and widely cited); LeadDev, Forbes and ShiftMag all running 2025 pieces on AI technical debt; Exceeds AI cites 88% of developers reporting increased debt and METR 2025 finding -19% productivity from AI tools.The Maintainability Gap: 2026 AI Code Quality Research - GitClear ↗Code maintainability plummets in the AI coding era - LeadDev ↗Best Tools to Monitor Technical Debt in AI Engineering Teams - Exceeds AI ↗
Crowded and getting hotter: Exceeds AI explicitly markets AI-specific debt detection with executive ROI reports for the same mid-market segment; CodeScene, SonarQube, SIG Sigrid, Stepsize, LinearB, Jellyfish all expanding AI-aware features — the 'board-ready quarterly' angle is differentiated but not uncontested.Best Tools to Monitor Technical Debt in AI Engineering Teams - Exceeds AI ↗SonarQube vs CAST vs CodeScene vs vFunction vs Moderne ↗
VP Eng/CTO buyers have proven budget authority for engineering-intelligence SaaS (LinearB, Jellyfish, SonarQube enterprise tiers; Exceeds AI uses outcome-based pricing); a quarterly board-report subscription maps cleanly to a $20K-$100K+/yr ACV with strong retention.Best Tools to Monitor Technical Debt in AI Engineering Teams - Exceeds AI ↗Technical Debt Management in Enterprise AI: Governance, Risk, and ROI ↗
AI-assisted coding is a structural, multi-year shift and GitClear now publishes this annually; board-level AI-ROI scrutiny is intensifying (Forbes, ShiftMag, LinkedIn CTO playbooks all flagging it) — long runway, though incumbent code-quality platforms may absorb the niche as a feature.The Maintainability Gap: 2026 AI Code Quality Research - GitClear ↗How Today's Technical Debt Becomes Tomorrow's AI Roadblock - Forbes ↗
Exceeds AI demonstrates a comparable build is achievable in ~5 minutes via GitHub OAuth using line-level AI detection + longitudinal outcome tracking; static/behavioral analysis is proven (CodeScene), so a quarterly report product is buildable with a small team, though AI-line attribution remains a non-trivial IP moat.Best Tools to Monitor Technical Debt in AI Engineering Teams - Exceeds AI ↗