An agent builds exactly what you asked for
A requirements defect reaches production about four and a half times more often than a coding defect. Everything in your pipeline checks code, and what checks requirements checks the writing. Why agents made that gap matter more.
ADLC · Series part 3The anatomy of the cost, and the two ways understanding gets lost
Design, code, tests and review can all do their job perfectly and still ship the wrong system. Understanding is lost twice, once when the requirements start wrong and again at every handoff between phases. What that costs, and why AI makes both worse.
ADLC · Series part 2One change request, two lifecycles: the enterprise path to the ADLC
Coding is around 12 percent of a change. Follow one change request through today’s AI-assisted lifecycle and through the ADLC, where the impact map is a query, business approves a prototype, agents get briefs, and delivery returns evidence.
ADLC · Series part 1From SDLC to ADLC: the software lifecycle when AI writes the code
AI is making writing code cheap and helps with design and analysis too, but that help has holes. It is only as reliable as the picture of the system it works from. Where the classic SDLC breaks under agent-speed delivery, and what the ADLC replaces it with.