Innovation in QA: Leveraging AI, Chrome Testing, Real-Time Selector Change Detection TGNS85
8 Dec 2025 · 10 min
JoeBot covers Chrome for Testing, a new Chrome build for automation with versioned binaries, and Selectors Watcher, an open-source tool that detects selector changes in real time via Slack. The show also explores generative AI in QA, blocking Google Analytics during Playwright tests, and Grafana's 10-year anniversary milestone with 20 million users.
Chapters
Want to know a free tool for improving automation stability detecting selector changes in real time? What is Chrome Test and is it possible to leverage artificial intelligence for QA in testing digital health products? Find out in this episode of the Automation and DevSecOps news show for the week of June 18th. So grab your favorite cup of coffee or tea and let's do this. Are you looking to take your automation projects to the next level? Look no further than applitools and their visual AI validation testing platform. Trust me, it is a game changer. Plus you could try it for yourself free by creating a free account now using the special link down below and see the difference for yourself. Speaking of applitools, do you want to learn how to navigate the challenge of testing at scale and learn lessons from some of the top performing teams? If so, I have an awesome resource for you. So Tomorrow on Tuesday, June 20th at 11am Pacific Daytime Applitools has got a great panel discussion planned with leaders from top performing teams, including leaders from Domino's and Netflix. And Andy Knight will be leading the group as they about the challenges of testing at scale. And as you know, testing at scale presents unique challenges that demand innovative solutions and strategies. And to address this, they're going to bring together a panel of technical leaders to share their experiences and empower you to do more with what you already have. And the experts are going to share their experience with the tools and techniques that have proven successful in their companies. Along the way, they're going to discuss the journey of testing at scale and which technologies and strategies to help them reach their goals. So definitely check that out in the link down below. Hope to see you there. What is Chrome for Testing? Well, Tristan Lombard, let me know all about it. I think you need to know all about it as well. So if you haven't heard, Google has introduced a new variant of its Chrome browser called Chrome for Testing, specifically designed for web app testing and automation. And this new version, not intended for daily browsing, seeks to fix the challenges that web developers face when creating browser testing environments. And one of the notable changes is the ability to disable the auto updating feature, which while beneficial for users, can really impede developers and testers seeking consistent, reproducible results across repeated tests. Chrome for Testing also provides versioned browser binaries catering to the needs to reproduce bugs in older Chrome versions or maintaining capabilities with specific versions of Chrome driver for browser automation. And another thing you might be struggling with when you're trying to do automation against browser is trying to not have your automated tests being picked up by your Google Analytics and this article is by Luke Gangan and he discusses how to block Google Analytics data collection during playwright integration tests that run in your production environments. It highlights that test case data can skew analytics insights and Gagnan presents three methods locking the GCollect endpoints, ejecting a script, or enabling Google Analytics debug mode. And he emphasizes that the best approach depends on the testing context, but blocking the g collect endpoints tends to be the most straightforward and efficient, so definitely check it out. Let me know your thoughts in the comments down below. Do you want to know how to improve your automation stability and detect selector changes in real time? We'll have a great free open source resource for you. So addressing a significant challenge in automation testing, developer Anand Malka introduced Selectors Watcher, a tool that detects changes in element selectors in real time. And these changes, often uncommunicated by developers, can lead to test failures and increased maintenance efforts, which can be very, very frustrating, as you know. So Selectors Watch, designed as a git hook, analyzes code changes, identifies modifications to selectors, and promptly alerts relevant stakeholders via Slack notifications. This tool not only reduces test failures and resource waste, but also promotes efficient communication and shared responsibility, thus significantly improving automation project stability. A really cool free project that you definitely should check out. And thank you Hanan for pointing this out to me. And once again Jason Arbin is really stirring the pot here. This blog post pushes back against skeptics of AI and software testing and Jason really stresses the importance of critical thinking and adopting to technology advancements. So Jason critiques those testers who dismiss AI as a mere trick or fear for their job security, arguing that embracing AI could enhance the profession and lead to significant advancements in software quality. Jason also urges testers to engage with AI and help in refining these systems rather than rejecting them out of hand, which I think is a great philosophy. And Jason then concludes that resistance to AI mirrors historical apprehensions and about new technologies which are ultimately proven unfounded. Thank you Jason once again for leading the way with AI and testing and definitely check that out in the first comment down below. And speaking about how you can use AI to help you with your automation and testing efforts, I found an article, a real world article, how you can actually leverage artificial intelligence for QA and testing digital health products. This is by Diego and he talks about In a fast paced realm of digital health, generative AI or Genai, is reshaping the future of quality assurance and testing. And Diego in his latest blog discusses the wide ranging challenges faced by QA professionals and how Genai can combat these hurdles. So he gives examples of assuring HIPAA compliance with synthetic data sets, creating realistic test environments or addressing interoperability issues. Genai seems to have a solution and also, despite its promise, ethical considerations about AI model judgments and transparency and must it be overlooked. And so this blog highlights how to utilize AI powered tools like ChatGPT to help you uncover critical test strategies and help you with automated testing. Generative AI's potential extends development predictive models for risk management which will help streamline regulatory compliance and also protect patient data, leading to improved patient outcomes and protect patient data which can help lead to improving patient outcomes and groundbreaking healthcare innovations. And obviously in this AI digital healthcare landscape, the priority should always be the pursuit of quality and patient safety and this article dives in how this can be done at the right level that really can help you with your automation testing efforts. So great article. Thank you so much Diego for this and definitely check it out and let me know your thoughts. So I know a lot of you also struggle how to run your Cypress tests in Azure DevOps pipelines if that's you, this resource is a must read. So in a world where users demand smooth application experience, understanding how to effectively run automated testing is critical. And this recent blog post explores how to run Cypress test in Azure DevOps pipelines. This article delves into the essence of DevOps pipelines and emphasize its pivotal role in modern software development and deployment. And it also goes over some key components of a successful DevOps pipeline including continuous integration, continuous delivery, continuous deployment and continuous testing. And the blog further discusses strategies like planning, development, building, testing, deployment and monitoring that assures a smooth flow from code inception to user ready software. So Klish really has created an in depth tutorial that provides a demonstration of setting up Cypress test in Azure DevOps pipelines on an E. Commerce website, promising readers a practical understanding of the process. Besides Cypress, I know another popular tool a lot of you all use is Postman. Well, I have another article by Beth that talks about five ways Postman's Postbot AI can help your testing. So if you don't know, Postman has introduced an AI tool called PostBot and its API platform that revolutionizes the way tests are written. So capable of formulating assertions and translating ideas into work in scripts, postpot is designed to assist rather than replace quality engineers. Beth talks all about it in this in depth blog post which goes over key functionalities including automatic generation of tests, crafting custom tests, refining existing tests and storing response values as variables and visualizing response data and initial feedback suggests approximately 90% of generated code works as intended, which is crazy. And while this powerful tool has some fine tuning left, it has been hailed as a game changer, especially for users who find code writing time intensive. However, users are reminded to exercise caution and thoroughly test the test to ensure their effectiveness. Hey, do you know whose anniversary it is? If not, Grafana has just released its version 10 on a 10 year anniversary as it surpasses 20 million users. So you don't know. Grafana Labs is a pioneer in open source data visualization and it has marked its 10 year anniversary with the launch of Grafana 10 at the annual GrafanaCon. New version improves the developer user experience, promotes collaboration and offers advanced troubleshooting with fresh correlation capabilities. Featuring enhanced security and scalability, including an expanded role based access control system, Grafana 10 is designed to quickly retrieve data while facilitating team Collaboration. With over 20 million users and capabilities with more than 150 data sources, Grafana remains the preferred visualization tool for developers and for Links of everything the value we covered in this news episode. Head on over to the links in the first comment down below. And while you're there, make sure to check out our awesome sponsor applitools free account offer and discover how to take your automation testing to the next level. Leveraging Visual AI So that's it for this episode of the Test Guild News Show. I'm Joe and my mission is to help you succeed in creating end to end Pulse Stack Pipeline automation awesomeness. As always, test everything and keep the good. Cheers.
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