Who We Talk To
Engineering leaders
Developers
Quality practitioners
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The Agentic Quality Podcast
The Agentic Quality is a podcast from ContextQA hosted by Tatyana Arbouzova. We talk with engineering leaders, developers, and quality professionals about how AI is reshaping software quality—from test strategy and developer workflows to trust, scale, and decision-making
No hype. No generic “AI will change everything.”
Just real stories, real trade-offs, and practical takeaways you can apply.
Real-world conversations about AI, quality, and decision-making
What We Focus On
How AI changes decisions, not just tools
Honest discussions on trade-offs
Real failures and learnings
Core Themes
Trust in automation
Signal vs noise in testing
Scaling quality without losing rigor
Agentic systems & human-in-the-loop
Why The Agentic Quality exists
Teams are moving fast, systems are complex, and traditional test automation often creates noise instead of confidence. The Agentic Quality podcast helps leaders and practitioners understand what’s changing, what actually works, and how to adopt AI responsibly, without losing rigor.
What You'll Walk Away With
Evaluation Skills
Better ways to evaluate AI in testing (beyond demos)
Practical Approaches
Methods to increase trust and reduce noise
Alignment Language
Ways to align quality work with business outcomes
Clear Path Forward
From automation → augmentation → agentic quality
Explore the Sessions
Episode #1
Quality as an Operating System: From Test Counts to Trust Checkpoints
Rethinking quality metrics and building trust at scale.
Nishadhi Nikalandawatte – Director of Quality, Slalom
Episode #2
Quality at High Velocity: Keeping Testing Principles in Rapid Delivery
Maintaining quality principles while shipping fast in modern development.
Deep Barot – CEO, ContextQA
Episode #3
Using AI Without Losing Critical Thinking: A Developer’s View
How developers stay sharp while leveraging AI tools in their daily workflow.
Walter Zimerman – Software Developer, Amazon
Meet the Host
Tatyana Arbouzova
Tatyana brings deep expertise in quality engineering, AI-driven systems, and engineering leadership. She's passionate about helping teams navigate the intersection of automation, intelligence, and human judgment, building systems that scale without sacrificing trust or rigor.
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