Deep Barot, founder and CEO of ContextQA, an IBM partner and G2 recognized platform, built a company solving a problem he experienced as a DevOps engineer: QA teams filing bug reports without enough context, costing him 3–4 hours a day just to reproduce issues.His answer? The world's first context-aware testing platform. And his belief: AI should handle 80% of repetitive tests so humans can focus on what requires judgment.

To find out more: 🎧 Listen to the full conversation: https://youtu.be/D-Ba3qT36_g🔗 Connect with Deep Barot: https://www.linkedin.com/in/deep-barot-98b7bb33/🔗 ContextQA Website: https://contextqa.com/🔗 Book a demo with ContextQA https://contextqa.com/book-a-demo/

Lucas Smit, SDET II at Optro and instructor at Codemify Tech Bootcamp, shares how he led the migration of 1,000+ test cases to Playwright, built AI agent infrastructure for his QA team, and is now pioneering AI red teaming for production systems.

Most testers won’t be replaced by AI.

But many will fall behind because they don’t evolve with it.

Episode #22 – How to Test as an Agentic Quality Engineer

Dragan Spiridonov, Founder of Quantum Quality Engineering, shares how AI is not replacing testers but elevating them into orchestrators of intelligent systems.

👉 Top 5 Advice to Become an Agentic QA Engineer:

✅ 1. Master the basics before the agentsStart with prompting → then context → then agents.

✅ 2. Invest in thinking, not just toolsCritical thinking, risk analysis, exploratory testing are differentiators.

✅ 3. Design systems, not just testsFrom executing test cases → to orchestrating agents doing testing

✅ 4. Build your own AI-powered QA projects
Small tools, experiments, or open-source projects to learn faster.

✅ 5. Verify everything (10% build / 90% validate)

Agentic QA is about designing strong validation loops.

Which of these levels are you currently at: AI Assistant, AI Augmented, or full Agentic QE?