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The AI coding maturity scale

Codacy introduces an AI coding maturity scale with five stages, progressing from occasional AI use to full "Loop Engineering," where AI is deeply integrated into the development lifecycle. The model helps teams assess their current AI adoption level and provides a roadmap for improving code quality, security, and developer productivity through increasingly sophisticated human-AI collaboration.

Background

Codacy is a code-review automation platform. This article proposes a five-stage "AI coding maturity scale" showing how developers' use of AI code assistants (e.g., GitHub Copilot, Cursor) evolves. The stages move from basic autocomplete (Stage 1) through prompt-crafting, agentic multi-file editing, and fully delegated tasks to "Loop Engineering" (Stage 5) — where developers build feedback loops that let AI iteratively improve its own outputs. The piece argues that most teams are stuck at Stages 2–3 and that true productivity gains come from treating AI-assisted coding as a systems-engineering problem, not just faster typing. It reflects a growing debate in software engineering about whether AI tools are making developers less careful or enabling a new mode of programming.

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The AI coding maturity scale

Background

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