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The Selenium creator on AI testing, BiDi, and what's real
If you've written a Selenium test, you've used something Jason Huggins built. At Breakpoint 2026, he's talking about where testing goes from here: BiDi, the shift-left rethink, and the gap between AI demos and what your sprint actually looks like. Join online for free on May 12–14. Save your spot!
NEWS
A 6 Year Reflection on Software Quality, Doubt, and the Career You Actually Build
How does a quality engineer's job actually change with experience? Shubham Sharma looks back and reflects on the perception of quality, imposter syndrome and why senior engineers tolerate uncertainty better.
Moreover, Swati Seela shares her point of view on What Makes a Good QA Lead.
A Practical Mental Model for Modern Testing
The author, whom I unfortunately couldn't identify, shared a really good, in-depth article with practical advice on how to think about each layer of tests the right way.
Similarly, Keith Klain brings up a few good points on Thinking, Fast and No.
Cognitive Automation: This Isn't About How Fast You Can Generate Scripts
Are your AI-generated tests actually catching bugs? Simon Prior prompts quality leaders to use AI as a thinking partner for risk and strategy rather than a faster way to write flaky tests.
Simon also wrote a good article about Quality Culture: Shared Ownership Is Harder Now, Not Easier.
I've figured out where I fit in the AI era
A great, thoughtful read from Vernon Richards on how the tester role is evolving from hands-on work to coaching the team and guiding AI agents.
At the same time, Gary Hawkes explains Why Quality Engineers Matter in the AI Era.
The Waterfall Strikes Back
Patrick Prill observed a funny pattern — Spec-Driven Development asks devs to write perfect specs upfront, which is the same thing we admitted we were bad at during the Waterfall era, before Agile came.
So where does it lead? Simon followed up with another article: Are We Building the Right Thing, or How GenAI Made Us Forget to Ask.
AUTOMATION
AI and Testing: Evaluating Conversations
If you're testing AI-powered solutions, Jeff Nyman has a practical guide on using DeepEvals to check if a model holds its thread across a full multi-turn conversation.
APIs Are Predictable. AI Isn't. Here’s What I Built
Want to stop AI from writing shallow API tests that just check for a 200 response? Wendy Erdheim-Poch shares a step-by-step workflow that scans routes, asks the right questions and reviews its own output.
Furthermore, Josphine Job shares good advice on Why Every QA Should Build Their Own AI Workspace.
How to Handle Failing Tests Caused by a Known Bug
While it's easy to comment out a broken test, it's never a good idea. David Mello demonstrates how to use a skip pattern instead with bug ticket links and ready-to-use snippets for Jest, Playwright, pytest and JUnit.
Moreover, Swati Seela wrote a thoughtful article about Retries in Test Automation: Safety Net or Silent Problem?
My 2 Cents: I'll gladly spend them to stop staring at test logs
Tired of trying to figure out if a failing test is flaky or showing an actual problem? Giuseppe Donati shares how trivago built an AI helper that does that work for them.
Optimizing the wrong part of the testing process
Chris Kenst inherited a 2,500-test Cypress suite that takes 45 hours to run and explains why automating everything leads to pain.
Similarly, Jitesh Gosai explains well When quantity leads to quality.
Treating the UI as a Contract: Eliminating the Wait in Modern Development
Want testing to start on day one instead of waiting until the end? David Ingraham and Leonardo Lanni wrote a thoughtful article explaining how a UI skeleton with mocked data lets front-end, back-end, and QA move at the same time.
On that note, Marko Churlinoski explains why we should Stop Writing New Tests. Supercharge the Ones You Already Have.
TOOLS
Create Video Receipts for AI Agents with Playwright Screencast API
Anton Gulin describes Playwright v1.59.0's new Screencast API, which records the session as a video with chapter markers and action labels that you can attach to a ticket.
I Pointed Karpathy’s Autoresearch at My Test Coverage. Here’s What Happened.
Can you make AI work in a loop to automatically close the coverage gap? Chandni Kaithavalappil tried Karpathy's autoresearch on a small app and shares what happened.
Moreover, Irfan Mujagić explains how to go From CI Failure to Root Cause in Seconds: MCP for QA Engineers.
Playwright Fixtures: Making Your Tests Clean, Smart & Scalable
If you don't want to write login steps in every Playwright test, Aparna Mishra breaks down how fixtures pair with POM to handle the test setup for you.
Also, Can Claude Skills Replace Playwright Agents? A Practical View for QA Engineers by Kailash Pathak.
Type-safe SQL in Playwright tests: a compile-time FSM, a branded string, and zero leaked connections
Vitali Haradkou built three helpful solutions that bring SQL validation to Playwright tests, including compile-time checks on SQL queries, parameter inference from placeholders and automatic connection teardown.
Additionally, Reyad Hassan explains How to Mock APIs and Own Your Test Scenarios with Playwright.
Your Cypress Tests Are Slower Than You Think
David Ingraham outlines why Cypress suites get gradually slower and shows a few tweaks that bring fast feedback back to your team.
Similarly, Vitaliy Potapov describes in detail how the Fully Parallel Mode in Playwright works.
VIDEOS
9+ Software Testing Agents to Know
If you're curious about what agentic AI testing solutions are on the market right now, Daniel Knott gives a 15-minute high-level overview.
Playwright 1.59: AI Agent Debugger + Trace Analysis (New Features)
Playwright 1.59.0 is out with some exciting features that Artem Bondar discusses in this 19-minute recording.
Similarly, Alex Khvastovich also did his own overview of the Playwright 1.59 New Features You Should Know.
Welcome to the 310th issue!
The most recent ThoughtWork's Technology Radar is out and it's worth checking out.
It's a biannual snapshot of recommendations for tools, techniques, platforms, languages and frameworks from one of the most respected consulting companies.
It's great not only for spotting trends but also for identifying potential risks and dangers.
And if you're wondering what it means, Patrick Prill wrote a great summary — The Tech Radar is Blinking Red.
Happy testing!
Dawid Dylowicz