QA Isn’t Broken, But It’s Not Ready.

Written by Richie Yu | Aug 8, 2025 10:00:00 AM

"My team ran 800 test cases. All passed. The AI still went off script."

If that sounds familiar or terrifying, this blog series is for you.

Something big is happening in software quality. And most test teams aren’t ready.

Why Traditional QA Is Hitting a Wall

Functional testing, regression packs, and well-written acceptance criteria have served us for decades. They helped us tame complex systems, reduce risk, and ship with confidence.

But now, the system is making decisions.

Not following workflows - but reasoning. Choosing. Adapting. Failing… in new ways.

We’ve entered the era of agentic AI systems:

Goal-driven AI copilots
Multi-agent systems that collaborate and evolve
Software that behaves differently even when nothing’s changed

And that means one thing for QA teams:

Your old test strategy isn’t broken. But it’s obsolete.

What This Series Will Teach You

This isn’t another buzzword explainer. We assume you already know how to manage test teams, build regression plans, and ship high-stakes systems.

But if your team is starting to test AI features or getting asked to - you need new tools. This series will help you:

Reframe your mental model of how software fails
Learn how to test unpredictable behavior
Rethink coverage, tooling, and KPIs
Build test strategies for systems that don’t always behave the same way
Understand how your role and team must evolve to stay relevant

What’s Coming (Blog Roadmap)

Blog #	Title	What You’ll Learn
1	From Scripts to Systems	Why traditional test cases no longer apply
2	What Can Go Wrong?	The new risk landscape (hallucinations, misalignment, drift)
3	Rethinking Coverage	Measuring behavior, not just code paths
4	Designing for Unpredictability	Techniques for probing agentic systems
5	The Role of the Human	When to embed Human-in-the-Loop testing
6	Tooling for the Unknown	What your tech stack needs now
7	Strategy for Agentic QA	How to build a QA plan that works
8	Evolving the Test Team	Roles and skills that will matter next
9	When Tests Fail	How to debug AI behavior
10	Compliance and Audit	Building safety and traceability into testing

Who Should Read This?

You lead or work on a test team. You know how to validate requirements, run regressions, and partner with devs. But now you’re being asked:

“Can you test the chatbot’s behavior?”
“How do we know it won’t do something weird in prod?”
“What if it uses the wrong tool, or the memory’s corrupted?”

And you’re realizing… the scripts don’t help.

This series will.

You’re Not Alone

We wrote this series because we’re living it too - helping QA teams adapt, retool, and lead through this transition.

Agentic AI isn’t coming. It’s here.

But the good news is: QA still matters. More than ever.

We just have to evolve how we do it.

Let’s get started.

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