AI-Driven Modernization Readiness Checklist

AI coding tools can cut the time and cost of legacy modernization, but only when the system and the team are ready for them. Without tests, documented business rules, and review habits, AI-generated code breaks logic that took years to build.

This checklist is based on 3 AI-driven modernization projects MobiDev completed in 2026. It scores your readiness and shows which gaps to close before any code gets converted.

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What’s Inside AI-Driven Modernization Readiness Checklist

Internal assessment tool for companies seeking to implement AI SDLC for legacy modernization, covering 6 areas: codebase and stack, knowledge and documentation, testing, team and SDLC readiness, governance and code ownership, and delivery constraints.

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Readiness Score

Gap Map

Next Steps

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<h2>About AI-Driven Modernization Readiness Checklist Creator</h2>

About AI-Driven Modernization Readiness Checklist Creator

Yevhen Kuzminov

Yevhen Kuzminov is a Solutions Architect at MobiDev with 17+ years in IT. He designs AI SDLC processes for legacy modernization, where AI agents write the code and engineers own the architecture, review and acceptance criteria. Yevhen is a Claude Certified Architect. He has spoken at CeBIT, IoT Tech Expo and Developer Week and contributes to open-source projects.

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