AI Helped Devs, Now it Needs to Help QA

6:00 - 6:30 PM: Open Mic - Share what you are working on or learned / lightning talks + social time
6:30 - 7:30 PM: Presentation
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Agentic coding has fundamentally changed how fast teams produce code, but so far, we haven't done nearly as much to accelerate how we test it. Most QA tooling and automation strategies were designed for a world where code arrived in human-sized increments and was authored by someone who could explain the change. That world is gone and it's not coming back.

It's not just the volume of PRs that's changing. AI-generated code arrives syntactically correct but semantically untested and unaware of the larger context in which it will be deployed. The result is additional pressure to ship untested code or teams running above the redline, knowing their safety nets are stretching more every sprint.

This talk examines how QA can match AI-accelerated development, why "just write more tests" isn't a strategy, and what it looks like to agentically QA all that agentically developed code. We'll cover steps developers must take before submitting PRs, contract testing at the AI boundary, prioritizing human verification where it matters most and building feedback loops that flag drift before it reaches production.