Events
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AI writes code in minutes. Learn how vibe testing helps QA validate what changed before it reaches your users.
Leave with a plan you can apply to your own release cycle
Learn how to structure and organize test management data as an AI-ready foundation that gives AI systems richer context for testing insights and workflows.
Fri, 23 Oct
Join us for an evening with Tatyana Arbouzova from Innovate QA to explore how AI-generated tests can evolve into autonomous quality engineering.
Getting tests that catch real failures is the hard part. Join us on Oct 8 and see how it's done.
Run only tests impacted by code changes. Get feedback faster.
See how Lynqa runs your existing tests as written, captures step-by-step evidence, without code or no-code.
Take this 7-question assessment to see where your QA team stands and get a plan for what to automate next.
MoT Events
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Share your week’s ghostly highlights, ghoulish challenges, and spooky lessons in quality
Tue, 28 Sep 2027
Register for a social evening gathering before the MoTaCon workshops day
Chapter Events
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Leave with a plan you can apply to your own release cycle
Learn how to structure and organize test management data as an AI-ready foundation that gives AI systems richer context for testing insights and workflows.
Partner Events
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Stop letting AI guess how your app works—your test cases are the context AI agents are missing. Learn how to connect them in this free webinar.
Complex workflows, flaky tests, fragmented tools, and AI-driven pressure are making it harder for QA teams to keep up.
On Demand Events
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AI writes tests that break for the wrong reasons or pass while checking nothing. Join us to learn how Testkube generates any test on any framework from your real workflows and infrastructure.
See how agentic testing workflows help teams deliver faster without sacrificing quality.
Testing AI is different when answers vary. Learn how to validate nondeterministic outputs, simulate AI dependencies, and automate reliable testing with Parasoft SOAtest and Virtualize.
Spend less time maintaining tests and more time finding real issues with AI-powered, spec-driven testing.
