Evidence-Based QA: Proving Quality with Agentic Test Runs — and Open-Sourcing How We Do It
In regulated industries, "the tests passed" isn't enough — you need evidence: what ran, against what build, with what result, traceable end to end. This session shows how agentic testing changes the compliance story. Because every Kane-CLI run produces structured execution logs, screenshots, and artifacts by default, evidence collection stops being a manual afterthought and becomes a byproduct of testing itself. We'll then go a step further and introduce evidence-cli, our newly open-sourced tool for capturing, structuring, and exporting quality evidence from test runs — walking through how it turns raw agent output into an audit-ready evidence trail you can attach to a PR, a release, or a compliance report. We'll connect this to DORA metrics and audit-readiness, drawing on patterns from enterprise QE teams in banking, and show how to satisfy both your engineering leaders and your auditors without slowing either down.
About the speaker
Anubhav Singhmaar:
Anubhav Singhmaar is a Product Manager at TestMu AI, working on the platform's AI-native testing products. He focuses on making AI test agents prove their claims: sealed evidence records, requirement-to-test traceability, and honest benchmarks. His session covers evidence-based QA and the openly published .evidence format.
About
TestMu Conf
Testμ (TestMu) is the world’s largest virtual conference on agentic engineering and quality, built by the community, for the community. As AI reshapes how we build, test, and ship software, Testμ Conf is where you connect, grow, and lead: agentic workflows, autonomous quality, battle-tested AI playbooks, hands-on workshops, and the engineering culture driving it all.