Scaling Mobile Testing Pipelines with Anton Malinski

Manual regression testing isn't going away—yet most teams still struggle with deciding what actually needs to be retested in fast release cycles. See how AI can help your manual testing now: https://testguild.me/parasoftai In this episode, we explore how Parasoft's Test Impact Analysis helps QA teams run fewer tests while improving confidence, coverage, and release velocity. Wilhelm Haaker (Director of Solution Engineering) and Daniel Garay (Director of QA) join Joe to unpack how code-level insights and real coverage data eliminate guesswork during regression cycles. They walk through how Parasoft CTP identifies exactly which manual or automated tests are impacted by code changes—and how teams use this to reduce risk, shrink regression time, and avoid redundant testing. What You'll Learn: Why manual regression remains a huge bottleneck in modern DevOps How Test Impact Analysis reveals the exact tests affected by code changes How code coverage + impact analysis reduce risk without expanding the test suite Ways teams use saved time for deeper exploratory testing How QA, Dev, and Automation teams can align with real data instead of assumptions Whether you're a tester, automation engineer, QA lead, or DevOps architect, this episode gives you a clear path to faster, safer releases using data-driven regression strategies.

Automation Guild turns 10 this year, and the 2026 survey revealed some of the strongest trends and signals the testing community has ever shared. Register now: https://testgld.link/ag26reg In this episode, Joe breaks down the most important insights shaping Automation Guild 2026 and what they mean for testers, automation engineers, and QA leaders. You'll hear why AI-powered testing is dominating every category, why Playwright has officially become the tool testers want most, the challenges that continue to follow teams year after year, and how testers are navigating shrinking teams, faster releases, and rising expectations. This episode gives you a clear, data-driven snapshot of why Automation Guild 2026 matters — and how this year's event is designed to help you stay relevant, sharpen your skills, and tackle the problems that keep slowing down teams. Perfect for anyone considering joining the Guild, planning their 2026 automation strategy, or just trying to make sense of the rapid changes happening in testing today.

AI is accelerating software delivery, but it's also introducing new security risks that most developers and automation engineers never see coming. In this episode, we explore how AI-generated code can embed vulnerabilities by default, how "vibe coding" is reshaping developer workflows, and what teams must do to secure their pipelines before bad code reaches production. You'll learn how to prompt more securely, how guardrails can stop vulnerabilities at generation time, how to prioritize real risks instead of false positives, and how AI can be used to protect your applications just as effectively as attackers use it to exploit them. Whether you're using Cursor, Copilot, Playwright MCP, or any AI tool in your automation workflow, this conversation gives you a clear roadmap for staying ahead of AI-driven vulnerabilities — without slowing down delivery. Featuring Sarit Tager, VP of Product for Application Security at Palo Alto Networks, who reveals real-world insights on securing AI-generated code, understanding modern attack surfaces, and creating a future-proof DevSecOps strategy.

In this solo episode, Joe Colantonio shares four powerful free TestGuild tools designed to help testers, automation engineers, and QA leaders work smarter. Discover how to instantly find the right testing tool for your team, assess automation risk, check your site's accessibility, and benchmark your automation maturity — all in one session. Whether you're looking to improve test coverage, adopt better practices, or simply save time, these tools were built with you in mind. What You'll Learn: – How to choose the right test automation tool fast – How to identify and reduce testing risk – How to check your site's accessibility compliance – How to assess your team's automation maturity level Try the tools free: Tool Matcher: https://testgld.link/toolmatcher Accessibility Scanner: https://testgld.link/scanner Risk Calc: https://testgld.link/riskcalc Automation Readiness Quiz: https://testgld.link/scorequiz ️ Join us for the 10th Annual Automation Guild Conference: https://testgld.link/IrHaNIVX

As AI tools like Copilot, Claude, and Cursor start writing more of our code, the biggest challenge isn't generating software — it's trusting it. In this episode, JP (Jayaprabhakar) Kadarkarai, founder of FizzBee, joins Joe Colantonio to explore how autonomous, model-based testing can validate AI-generated software automatically and help teams ship with confidence. FizzBee uses a unique approach that connects design, code, and behavior into one continuous feedback loop — automatically testing for concurrency issues and validating that your implementation matches your intent. You'll discover: Why AI-generated code can't be trusted without validation How model-based testing works and why it's crucial for AI-driven development The difference between example-based and property-based testing How FizzBee detects concurrency bugs without intrusive tracing Why autonomous testing is becoming mandatory for the AI era Whether you're a software tester, DevOps engineer, or automation architect, this conversation will change how you think about testing in the age of AI-generated code.

In this Halloween special, Joe Colantonio and Paul Grossman discuss the evolution of automation testing, focusing on the integration of AI tools, project management strategies, and the importance of custom logging. Paul shares insights from his recent job experience, detailing how he inherited a project and the challenges he faced. Paul also goes over his Optimus Prime framework and uses it to explore various automation tools, the significance of dynamic waiting, and how to handle test case collisions. The discussion also highlights the role of AI in enhancing automation frameworks and the importance of version control in software development.

Flaky Playwright tests got you down? Discover Vibe Testing, a new AI-driven approach that lets Playwright tests understand design intent, adapt to UI changes, and self-heal intelligently. In this episode, Joe Colantonio talks with Vasusen Patil, Co-Founder and CEO of Donobu, about how their platform extends Playwright with AI-powered "Vibe Testing." You'll discover how this approach blends visual assertions with contextual understanding to build resilient, low-flake tests that keep shipping smooth. You'll take away: What "Vibe Testing" really means and why it's a game-changer How AI-authored Playwright tests can self-heal without false positives The key to balancing autonomy with tester control Why Donobu's local-first model keeps your data safe while cutting test flakiness under 2 % How to try Donobu's free Playwright AI toolkit If you want to see where test automation is heading next — and how to future-proof your QA career — don't miss this one.

Did you know that Playwright offers an elegant, unified framework that seamlessly integrates both UI and API testing within a single language and test runner? Don't miss the early bird Automation Guild discount: https://testguild.me/ag26early This episode explores how Playwright empowers teams to simplify test maintenance, eliminate silos between dev and QA, and gain true full-stack confidence. You'll discover: How to make your tests 10x faster and more reliable by using API requests for setup instead of brittle UI flows. How to write hybrid tests that validate both UI actions and backend APIs in a single flow. A modern, unified testing strategy that reduces operational friction and helps teams deliver high-quality applications with confidence. Our guest, Naeem Malik, brings 15 years of QA and automation expertise. As the creator of Test Automation TV and bestselling Udemy courses, Naeem specializes in making complex test automation concepts simple, practical, and impactful for engineering teams. Whether you're a QA leader, automation engineer, or DevOps practitioner, this episode will give you the tools to rethink your testing strategy and unlock the power of Playwright.

Are your tests falling behind your requirements? Check out our new AI Requirement course here: https://testguild.me/aireqcourse In this special highlight episode, Joe Colantonio shares lessons from a new course created with Keysight: Turning Requirements into Reliable Tests with AI-Augmented Design. You'll hear from AI strategist Noelle Russell, Keysight's Chief AI Officer Jonathon Wright, and product expert Ian Sharp as they explore: Why responsible AI is like raising a baby tiger — exciting but dangerous if ignored. The hidden costs of manual test design and why happy-path testing isn't enough. How AI-powered tools like Keysight Generator transform natural language requirements into reliable, traceable test cases in minutes. If you're a tester, automation engineer, or QA leader looking to cut weeks of manual scripting, improve coverage, and finally align tests with real requirements — this episode is for you. Check out the full Keysight course here: https://testguild.me/aireqcourse Become one of our Automation Guild 2026 speakers: https://testguild.me/agspeak

Scaling CI/CD for mobile apps is hard. Faster test runs often lead to more tests, more infrastructure, and more complexity. So how do you keep your pipelines healthy and reliable while still shipping at speed? In this episode, we sit down with Anton Malinski of Marathon Labs to explore the real-world lessons he's learned building and optimizing mobile CI/CD pipelines. You'll discover: How to scale mobile test automation without introducing friction What "healthy CI growth" looks like in practice Why real devices still matter, even with a massive emulator fleet How backend mocking and dedicated mobile API gateways transform shift-left testing Practical advice for teams evolving from weekly releases to on-every-commit confidence Whether you're a QA leader, automation engineer, or DevOps practitioner, this conversation gives you the insights and metrics you need to take your mobile testing pipelines to the next level.