The thesis

“The question is not how much more code you can produce. It is what kind of organisation makes sense when producing code is no longer a bottleneck.”

— David Alejano, Chief Strategy Officer at Thinkia

AI-SDLC makes specifying intent and validating outcomes the highest-value human work, while code becomes a by-product of well-written specifications generated by AI agents.

What you will learn

  • Why copilots alone plateau—and where exponential leverage lives in the delivery system
  • The five phases: Framing → Spec → Generation → Review → Delivery
  • The three master files: .spec.md, .design.md, and .ui-spec.md
  • Risk tiers (green, amber, red) for how much autonomy agents get per change
  • A practical path: Sprint 0 discovery and a 4–6 week Stage 1 MVP with CI enforcement

Who this is for

Engineering leaders, platform owners, and transformation teams who need governed, auditable AI acceleration—not faster typing in isolation.