Issue #192 : Software Testing Notes
The Bug Detection Roller Coaster
Hello there! 👋
Welcome to the 192th edition of Software Testing Notes, a weekly newsletter featuring must-read content on Software Testing. I hope this week has been good for you so far.
This week, we will explore:
The New QA Mindset: Testing AI and LLMs
Switching from Web to Desktop Automation
Scaling Mobile UI Testing with AI
Penetration Testing vs. Red Teaming
Model-Based Testing with Playwright
and more…
✨ Featured
How QA teams are using AI agents to ship faster in 2025
Join leaders from GitHub, Nasdaq, and Deutsche Telekom and more on Nov 12 as they share how AI agents are transforming their testing workflows.
You’ll see 20+ AI agents in action, from generating test cases to fixing failures automatically, and learn the strategies helping top teams ship faster in 2025.
📚 Testing
The New QA Mindset: Testing AI and LLMs by Vladimir Josifoski
Testing AI system brings it’s own challenges as they often behave unpredictably and outputs can be different every time. Vladimir Josifoski recommends testers to shift from verifying correctness to evaluating trust, bias, and consistency.
There are no bad testers only bad systems by Anne-Marie Charrett
Anne-Marie Charrett encourages teams and leaders to focus on improving processes, collaboration, and support structures so that quality can emerge naturally.
AI will replace testers jobs, are we all doomed? by Steve Watson
This article by Steve Watson highlights how testers are uniquely positioned to question bias, validate data, and ensure fairness in AI-driven systems, making testers more vital than ever in this evolving landscape.
The Bug Detection Roller Coaster: A Carnival of Code and Shadows by Maire Grant
This was a really interesting piece to read. Maire Grant compares the thrill of bug hunting to a haunted roller coaster ride, and explores how bug detection process can evolve.
🔍 Software Testing
⚙️ Automation
Switching from Web to Desktop Automation: 5 Things That Surprised Me by Darrold Dorsey
Web and desktop automation are two completely different beasts. From personal experience, Darrold Dorsey shares five big lessons learned while switching from Selenium-based web testing to automating WPF desktop apps.
Model-Based Testing with Playwright by Eleonora Belova
This post by Eleonora Belova walks through how combining Playwright with Model-Based Testing can make end-to-end tests more structured and maintainable.
Scaling Mobile UI Testing with AI by Atakan Karslı
Atakan Karslı shares a practical, real-world case study in scaling AI-assisted testing Learn how Trendyol doubled their UI test coverage in a year by designing consistent structures that let AI generate, run, and even fix tests using Maestro MCP.
Make Enriched E2E API Tests Reports by Andrey Enin
Andrey Enin shares a practical guide on how to make complex end to end api tests easier to debug by improving test report readability using detailed logging, clear assertions, and traceability.
How To Build Stable Appium Tests Using Step-Level Retry by Josphine J.
If you are doing mobile test automation with Appium, Josphine J. shares how to implement step-level retries to reduce flakiness of the tests suits by reattempting only the parts that fail due to timing or platform quirks.
Speaking of flakiness, Gabriel Chege has also written about How to Handle Flaky Playwright Tests Using a Simple Retry Utility Function.
🔍 Test Automation
🌞 Accessibility
Testing Methods: Reflow by Dennis Deacon
Another accessibility testing gem by Dennis Deacon. This article explores WCAG 1.4.10 Reflow, and compares automated, AI-driven, and manual testing approaches, explaining how each helps detect layout and accessibility issues.
🔍 Accessibility Testing
🔒 Security
Penetration Testing vs. Red Teaming by Aviral Srivastava
This article explores the differences between penetration testing and red teaming. Aviral Srivastava explains how pentesting and red teaming differ in their approach of security testing.
🔍 Security Testing
🛠️ Resources & Tools
Browserable — An open source browser automation library that allows you to build browser agents that can navigate sites, fill out forms, click buttons, extract information, and more.
Price Per Token — An up-to-date pricing reference for major LLM APIs including OpenAI, Anthropic, Google, Mistral, and more, allowing you to compare token costs across different AI models and find the best value.
📝 List of Software Testers
Do you create content around Software Testing ? Submit yours blog details here and I will add it to the list.
🎁 Bonus Content
📌 OTHER INTERESTING STUFF
⭐ LAST WEEK’S MOST READ
AI-Powered Test Automation: How Playwright Agents Plan, Write, and Fix Tests for Us by Nikola
AI + Chrome DevTools MCP: Trace, Analyse, Fix Performance by Slawomir Radzyminski
😂 And Finally,
Universal Truths Of Software Development🤣
📨 Send Me Your Articles, Tutorials, Tools!
Wrote something? Send links via Direct Message on Twitter @thetestingkit (details here). If you have any suggestions for improvement or corrections, feel free to reply to this email.
Thanks to everyone for subscribing and reading!
Happy Testing!
Pritesh(@priteshusdadiya)