AI Codebase Maturity Model: 5-Level Framework from Assisted Coding to Self-Sustaining Systems

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Anderson proposes the ACMM, a CMMI-inspired 5-level framework describing how codebases evolve from basic AI-assisted coding to fully self-sustaining systems, where each level is defined by its feedback loop topology. Validated through a 4-month experience report, the model identifies specific mechanisms that must exist before the next level becomes possible. Directly maps to the trajectory of autonomous coding systems like Claude Code, Codex, and agentic workflows — provides a shared vocabulary for engineering teams adopting AI-native development.