I Built an AI Maturity Model for Software Engineers (and No One Cared)

In plain words

This is an open-source AI maturity model designed specifically for software engineers to assess and track their proficiency with AI tools and technologies. Available on GitHub, it provides a framework for engineers to evaluate their current AI capabilities and identify areas for development. The tool addresses the gap between rapid AI adoption and structured skill assessment in the engineering community.

written from the facts on this page · September 2026

From the sources

As AI becomes embedded in mainstream development, engineering teams face rising challenges: large number of codebases now include AI-generated code , yet many teams lack structured governance frameworks, skill alignment, or clarity on responsible adoption. Tooling is racing ahead, but maturity varies wildly—creating risks around maintainability, trust, and innovation . The AI Maturity Model for Software Engineering Teams (AI-MM SET) is a structured framework designed to help software engineering teams and individuals assess, align, and evolve their adoption of artificial intelligence. It describes how teams transition from early, unstructured experimentation to strategic and ultimately…from github.com

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