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Panel Discussion: Who Tests the Machines? QE Leaders on Quality in the Age of AI-Written Code

Panelat TestMu Conference 2026 · 2026-08-19..08-21· [engineering-leadership, testing]
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Panelists report concrete outcomes: startups ship nearly 90% AI-generated code, one org says 60–65%, another 40–50%; mobile automation built with Appium and MCP rises from zero to >80% coverage, but an initial batch of 200 tests yields 70% failing in week two until agents are taught the app. Teams run 25+ agents in production and push 300+ production fixes in three months, use Claude and CodeX, aim for ~70% agent accuracy, and shift QE work toward testing intent, risk scaffolding, and failure-triage agents.

AI-written summary · about

  1. 0:00Who Tests the Machines? QE Leaders on Quality in the Age of AI
  2. 1:35Panel Intros - Ankur Agarwal, Nandini Srinivasan, Somu Suryanarayanan, and Rahul Nethi
  3. 4:07How Much Shipped Code Actually Involves AI Today?
  4. 4:38Close to 90% at a Startup - and Where the Remaining 10% Goes
  5. 5:40Code Generated in Half a Day, Reviewed for More Than One
  6. 6:41Firmware vs Software: Why the Numbers Differ
  7. 8:1640-50% and a Day-to-Day That Hasn't Fundamentally Changed Yet
  8. 9:19Delivery Speed and Instability Rising Together - Is It Real?
  9. 11:56Capturing AI Speed Without Sacrificing Stability
  10. 12:58Moving Away From Coverage Metrics Toward Risk Mitigation
  11. 14:34Fully Automated Means a Spike; Automated With Guardrails Doesn't
  12. 15:36You Don't Need an Engineering Product to See It - Try Claude on a Topic
  13. 17:08Why Subject Matter Expertise Is What Lets You Catch It
  14. 18:40A Real Failure: 200 Mobile Test Cases and 70% Failing in Week Two
  15. 19:41Teaching the MCP and the Agent About Your Own App First
  16. 20:43Reaching 70% Accuracy and Why 100% Is Still Hard
  17. 21:45Are We Debugging Intent More Than Code?
  18. 23:16Before AI a Failure Meant a Product Bug; Now You Check the Test First
  19. 24:18Building a Failure Analysis Agent to Triage the Triage
  20. 25:50Testing the Process Behind the Code, Not Just the Code
  21. 26:20The "Inactive User" Example: Why Specification Beats Syntax
  22. 27:54Shipping Production Fixes and Running Agents in Production
  23. 28:57The Lines Between Developer and Quality Engineer Have Blurred
  24. 29:3025+ Agents in Production and 300+ Production Fixes in Three Months
  25. 30:33The Posture That Matters: Product Depth, Not Tooling
  26. 31:04Don't Just Ask What Changed - Ask How and Why
  27. 31:35Specs and Tests Were Always the Asset; Customers Trump Both
  28. 32:37Shipping Speed May Outrun What Users Can Actually Adopt
  29. 33:39Being Competitive vs Building What Customers Actually Use
  30. 36:15What Skills Should an Early or Mid-Career Engineer Focus On?
  31. 36:45Domain as a Moat - and Why Code Still Matters
  32. 38:18Problem Solving and Systems Thinking Over Language Syntax
  33. 39:51Stop Learning How to Automate - Learn Risk and Scalability
  34. 41:58We Can Now Build the Wrong Thing Faster
  35. 43:01Teaching the Business Flow Before the Framework
  36. 44:02Software Development Got Cheaper; Software Engineering Did Not
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