AI-DLC in Practice: Methodology, Metrics & Lessons From the Field

דרור, Specialist Architect, AWS | דנה, Technical Account Manager, AWS | נתנאל, AI Engineering Lead, monday.com

AWS Summit Tel Aviv 2026 · AWS for Developers in the AI Era · 40 min · 18 pages

AI adoption in software development is accelerating, yet most organizations still struggle to answer: where is the real impact? AI coding assistants alone aren't enough — without a structured approach, AI proliferation creates noise, not transformation. What's needed is a methodology that embeds AI meaningfully into every phase of the software lifecycle. The AI-Driven Development Life Cycle (AI-DLC) is exactly that: a framework that repositions AI as a central collaborator, delivering measurable gains in velocity, quality, and developer experience. In this session, you'll learn the AI-DLC methodology, how to apply it, and how to measure organization-wide impact.

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