It’s not just about bugs—it’s about understanding what you’re unleashing into the world. Charity Majors explains why you need observability. Watch the full QA Therapy episode now!

That’s where feature flags come in. They let you: Ship small, continuous changes without fear. Give different teams control over what and when features are released. Roll out to preview users before full deployment. It’s all about having control over production - without sacrificing speed. Watch the full QA Therapy episode to learn more!

"Monitoring is for your known unknowns. Observability is for your unknown unknowns." But what does that really mean? And where does exploratory testing fit into all of this? In this episode of QA Therapy, we sit down with Charity Majors, co-founder and CTO of Honeycomb, to dive into the evolving role of testing, monitoring, and observability in modern software development.

QA isn’t just about pre-production anymore. Testing is blending into the full development cycle, and exploratory testing plays a huge role. Charity Majors breaks it down: It’s about uncovering the unpredictable.

AI is so much more than that—it spans numerous fields, from machine learning to predictive analytics, computer vision, natural language processing, and beyond. Are we narrowing the conversation too much? Check out the full episode for more insights.

This is Mark Winteringham's take on exploratory testing. Do you agree with him? Check out more of his thoughts in the full podcast episode.

It’s your ultimate digital assistant, enhancing your work and streamlining tasks! This insight from Mark will change how you think about AI. Watch the full episode!

Discover how to harness AI in exploratory testing! In this episode of QA Therapy, Mark Winteringham discusses the benefits of AI in QA and the critical importance of identifying the right problems before adopting it. AI isn’t a one-size-fits-all solution. If you can’t pinpoint specific challenges it addresses, you might not be ready to use it effectively. Mark’s insights provide clear guidance for making informed decisions about AI in your QA strategy.

Mark Winteringham says if you can’t clearly define the challenges AI can address, you’re not ready to integrate it into your process. Instead of jumping on the AI bandwagon, focus on understanding your needs first.