Apr 26
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We built software delivery around predictability. Define the requirements. Design the system. Build it. Test it. Deploy it. But agentic systems do not behave like that. They decide at runtime. They adapt to context. They change their path while they are executing. So the moment you introduce real agency, the SDLC starts to break. Not because it is wrong, but because it was never designed for systems that think, coordinate, and act beyond predefined flows. This is not an evolution of software delivery. It is a structural shift. In this video, using NotebookLM, I will show you why the SDLC no longer holds, and what replaces it. Video content 00:00 Why the SDLC breaks with Agentic AI 00:13 The hidden assumption inside software delivery 00:33 Why Agentic AI changes the rules 01:15 Correct code is no longer enough 01:57 Runtime becomes part of the lifecycle 02:26 The new failure modes no one designed for 03:03 Why testing and operations must expand 03:26 Governance becomes engineering infrastructure 03:41 The six foundations of the A-SDLC 04:16 How the A-SDLC changes the pipeline 04:41 Deployment is not the end 04:55 Supervision closes the loop 05:12 The model is only the engine 05:32 Boundaries, guardrails, and policy versioning 05:49 Engineering governable systems of action #agenticai #aigovernance #enterprisearchitecture