Episode 9: AI, Testing and DORA with Lisa Crispin

Vitaly, Anupam, and Maryia sit down with Lisa Crispin (independent consultant, DORA community guide, co-author with Janet Gregory of the Agile Testing books). Lisa watched the industry fire testers when automation arrived in the early 2000s. The same panic is repeating with AI, but non-deterministic AI output demands more quality thinking, not less. Big batches never worked well; now they stop working entirely. Testing-after never worked well; now it can't work at all. DORA's 2025 research captures the pattern: AI is an amplifier. Whatever teams were already doing, good or bad, gets scaled up. The capabilities that correlate with high-performing AI-augmented teams are the same ones that made human teams high-performing before AI. But the industry still sells AI as a way to make individual developers 10x more productive. The result: software delivery instability is rising even as individual productivity goes up, because code reaches production badly tested and the rework drives burnout. Vitaly thinks AI is a great collaboration amplifier: the typing bottleneck is gone, freeing cross-functional teams to iterate faster, together defining why and how the software is to be built and tested.Links:Lisa's Linkedin: https://www.linkedin.com/in/lisacrispin/BQ research: https://github.com/BeyondQuality/beyondquality/blob/main/research/ai-era-testing/analysis.mdDORA AI Capabilities report: https://cloud.google.com/resources/content/2025-dora-ai-capabilities-model-reportSponsors:Qase https://qase.io/?utm_source=youtube&utm_medium=beyondquality&utm_campaign=devadvocacyRegent https://regent.seTestSolutions https://testsolutions.de/en/focus/ai-testing