Maturity Matrix
Capability 04 of 04 · Organization

Tech Debt & Modernization

How AI accelerates paying down tech debt and modernizing legacy systems.

5
maturity levels
15
practices
15
guides
L3 · Stage 03Systematic
Criteria - what to measure
  1. 01Continuous modernization: agents work on tech debt reduction in background (non-blocking to feature work)
  2. 02Library version bumps and dependency upgrades are automated via agent PRs
  3. 03OpenRewrite + agent combination is used for systematic refactoring campaigns
  4. 04Agent tech debt PRs follow the same review process as feature PRs
  5. 05Dependency freshness score is tracked (% of dependencies within N versions of latest)
L4 · Stage 04OptimizedMost teams aim here
Criteria - what to measure
  1. 01Projects previously deemed "too expensive to modernize" are being modernized by agents at low cost
  2. 02Cross-repository migration agents operate across multiple codebases simultaneously
  3. 03Major version migrations (e.g., Java 8 to 21, Angular.js to Angular 17) are agent-driven
  4. 04Cost-per-migration-PR is tracked and decreasing
  5. 05Cross-repo migrations complete within defined SLAs (e.g., 100 repos migrated in 30 days)
L5 · Stage 05Autonomous
Criteria - what to measure
  1. 01Tech debt is at near-zero steady state (new debt is paid down within the same sprint it is created)
  2. 02Agent fleet maintains, upgrades, and patches codebases 24/7 without human scheduling
  3. 03CVE remediation is autonomous: detect vulnerability, generate fix, test, and ship
  4. 04Mean time from CVE disclosure to deployed fix is under 24 hours for critical vulnerabilities
  5. 05Tech debt score (measured by static analysis) has been stable or improving for 6+ months

Which level is your team at in Tech Debt & Modernization?

The criteria above are what we check in a facilitated assessment. Run it yourself to place this capability, see which gates you have passed, and compare it against the other 3 in Organization.

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