Workshop: Legacy vs Autonomous QA Arena - Surviving the AI Driven Quality Evolution | TestMu 2026
Your test suite is failing more from flaky locators than actual bugs — and it's costing you 30–40% of your QA budget. This is not a lecture about AI hype. It's a live arena.
Software testing is undergoing its biggest architectural shift in a decade. Enterprise AI adoption in QA is projected to jump from 15% to 80% by 2027, Playwright adoption surged 235% year-over-year, and yet 89% of teams piloting GenAI in QA still can't get it reliably into production. Something doesn't add up — and this session is built to figure out why, together, in real time.
In 75 fast-moving minutes, we put legacy script-driven automation head-to-head against self-healing, AI-augmented execution — live. You'll vote on real failure logs before we reveal the root cause. You'll watch an actual test suite break on a live deploy, then watch an AI observation layer catch and heal it in seconds, with the exact resolution strategy shown on screen — no smoke, no vendor slideware. We'll deconstruct what "self-healing" actually means mechanically (spoiler: it's three measurable techniques, not magic), and confront the uncomfortable stat at the center of the AI-in-QA conversation: why almost everyone is piloting this, and almost no one has it in production.
This isn't a tooling sales pitch, and it isn't survivor bias from one team's lucky migration. It's a structural argument, backed by market data and a live technical demonstration, for why the QA professional's job is changing — not disappearing. The session closes by mapping the exact skill shift underway: from writing and maintaining scripts, to owning risk-based test strategy, GenAI evaluation, and AI governance. Attendees leave with a framework for that shift, not just a demo they watched.
Diagnose the real cost of test flakiness — understand why locator and timing failures consume up to 40% of QA budgets, and how to make that case to non-technical stakeholders.
See self-healing test automation demystified live — not a vendor claim, but a working demonstration of the actual resolution mechanics (selector, timing, and runtime-error healing).
Understand why Selenium isn't dying, just being re-scoped — a clear framework for deciding what stays on legacy tooling vs. what moves to AI-native platforms.
Close the pilot-to-production gap — learn why 89% of GenAI-in-QA pilots stall before production, and what governance pattern (human-in-the-loop) actually gets teams past that wall.
Walk away with a personal skill roadmap — the four capabilities defining the shift from "script author" to "quality owner," and how to start building them now.

TestMu Conf
Testμ(TestMu) Conference is TestMu AI’s (Formerly LambdaTest) annual flagship event, one of the world’s largest virtual software testing conferences dedicated to decoding the future of testing and development. Built by the community, for the community, it’s a space where you’re at the center, connecting, learning, and leading together. From deep-dive sessions on emerging trends in engineering, testing, and DevOps, to hands-on workshops and inspiring culture-driven talks, every experience is designed to keep you at the heart of the conversation.

From AI Assistants to AI Coworkers: How Engineering Teams Ship Faster with Enterprise Context
TestMu 2026
Keynote: Beyond Benchmarks - Evaluating Agents Against What They Are Actually Supposed to Do
TestMu 2026
Panel Discussion: Money Moves at Machine Speed - Trust, Risk, and Quality in Agentic Finance
TestMu 2026
From Load Testing to Reliability Engineering: Making Performance Testing Predict Production Behavior
TestMu 2026
Panel Discussion: Who Tests the Machines? QE Leaders on Quality in the Age of AI-Written Code
TestMu 2026
Fireside Chat: The Economics of AI Agents: How Startups Are Rethinking Value and Monetization
TestMu 2026
Panel Discussion: Mission-Critical Priorities in Quality Engineering: The Leader's Playbook
TestMu 2026