Agentic testing is easy to fall for. Describe what you want, and the AI plans it, writes it, and heals it when it breaks no maintenance, no locator babysitting, no backlog of specs. You're smitten. This, you think, is the one.

Then morning comes, and yesterday never happened.

Because in most agentic stacks, the intelligence is stateless. Every run, the agent meets your application for the first time, re-planning, re-generating, re-healing with no memory of why a test existed, what it covered, or how it failed last week. The generation is brilliant, the lifecycle is gone. And the moment generation becomes cheap and continuous, your test suite stops being an asset that accumulates intent, coverage, and history, and starts being something you re-roll and hope.

This talk makes the case that the hard problem in agentic testing was never generation, it's governance. We'll cover the four things a suite has to remember to be worth keeping, lineage, versioning, history, and auditability, why roll-your-own frameworks leave you bolting that memory back on with git, dashboards, and sheer human discipline, and what it looks like when lifecycle management is built in rather than improvised around the edges.

Because the goal was never a suite you fall for every morning. It's one that wakes up still knowing your name. AI proposes, the system remembers, the human governs, and that's how you and your test suite finally get to happily ever after.