AJ Fisher

Don't stop, won't stop. Automated verification of long-running agentic loops

Long-running agentic loops create different engineering problems than code generation. Once agents work unattended for many hours, iterate through 20 or more review cycles, and build stacked PRs towards a larger goal, the challenge changes to keeping that activity aligned, verifiable and useful. This talk looks at the verification systems built around behavioural claims, acceptance evidence, system invariants, decision records and independent review so agents can keep correcting themselves as they work.

Using real production examples, I’ll show how these loops converge, how automated review feeds back into implementation, and how each change set identifies the assumptions, risks and decisions that still need human attention. The aim is to increase throughput without creating cognitive debt, allowing larger and more autonomous changes while keeping the system aligned to an architect’s intent and focusing human review on the decisions that actually matter and need judgement.