TestGuild Automation Podcast Podcast Por Joe Colantonio capa

TestGuild Automation Podcast

TestGuild Automation Podcast

De: Joe Colantonio
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 TestGuild Automation Podcast (formally Test Talks) is a weekly podcast hosted by Joe Colantonio, which geeks out on all things software test automation. TestGuild Automation covers news found in the testing space, reviews books about automation, and speaks with some of the thought leaders in the test automation field. We'll aim to interview some of today's most successful and inspiring software engineers, and test automation thought leaders.TestGuild
Episódios
  • AI Codebase Discovery for Testers with Ben Fellows

    AI Codebase Discovery for Testers with Ben Fellows
    Dec 14 2025
    What if understanding your codebase was no longer a blocker for great testing? Most testers were trained to work around the code — clicking through UIs, guessing selectors, and relying on outdated docs or developer explanations. In this episode, Playwright expert Ben Fellows flip that model on its head. Using AI tools like Cursor, testers can now explore the codebase directly — asking questions, uncovering APIs, understanding data relationships, and spotting risk before a single test is written. This isn't about becoming a developer. It's about using AI to finally see how the system really works — and using that insight to test smarter, earlier, and with far more confidence. If you've ever joined a new team, inherited a legacy app, or struggled to understand what really changed in a release, this episode is for you. Registration for Automation Guild 2026 Now: https://testguild.me/podag26
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    44 minutos
  • Gatling Studio: Start Performance Testing in Minutes (No Expertise Required) with Shaun Brown and Stephane Landelle

    Gatling Studio: Start Performance Testing in Minutes (No Expertise Required) with Shaun Brown and Stephane Landelle
    Dec 7 2025
    Performance testing has traditionally been one of the hardest parts of QA,slow onboarding, complex scripting, difficult debugging, and too many late-stage surprises. Try Gatling Studio for yourself now: https://links.testguild.com/gatling In this episode, Joe sits down with Stéphane Landelle, creator of Gatling, and Shaun Brown to explore how Gatling is reinventing the load-testing experience. You'll hear how Gatling evolved from a developer-first framework into a far more accessible platform that supports Java, Kotlin, JavaScript/TypeScript, and AI-assisted creation. We break down the thinking behind Gatling Studio, a new companion tool designed to make recording, filtering, correlating, and debugging performance tests dramatically easier. Whether you're a developer, SDET, or automation engineer, you'll learn: How to onboard quickly into performance testing—even without deep expertise Why Gatling Studio offers a smoother way to record traffic and craft tests Where AI is already improving load test authoring How teams can shift-left performance insights and catch issues earlier What's coming next as Gatling expands its developer experience and enterprise platform If you've been meaning to start performance testing—or scale it beyond one performance engineer—this episode will give you the clarity and confidence to begin.
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    41 minutos
  • AI-Driven Manual Regression: Test Only What Truly Matters With Wilhelm Haaker and Daniel Garay

    AI-Driven Manual Regression: Test Only What Truly Matters With Wilhelm Haaker and Daniel Garay
    Dec 1 2025
    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.
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    39 minutos
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