What QA leaders are discussing this month
The June 2026 software testing podcasts reveal a strong industry focus on the transformative, yet complex, role of artificial intelligence in quality assurance. QA leaders are actively discussing how AI influences development velocity, code quality, and the very nature of testing. Beyond AI, essential discussions touched upon advanced API testing techniques, mobile application quality, and the crucial human elements within the rapidly evolving tech landscape. Here are the major industry trends observed across this month’s episodes:
- The pervasive impact of AI on software development and testing, including AI code review, AI QA agents, and the specific challenges of testing RAGs and LLMs.
- A critical examination of the “AI illusion” concerning AI’s ability to replace human testers, underscoring the enduring value of human judgment and critical thinking.
- Practical strategies for navigating modern testing challenges, such as testing APIs without comprehensive documentation and scaling QA efforts with AI-driven development velocity.
- Renewed emphasis on foundational testing principles like mobile testing, accessibility, and the importance of soft skills such as empathy in the QA process.
- Discussions on managing industry shifts and the often-unspoken emotional aspects of testing, including frustrations with flaky tests and unfinished features.
Featured Episodes
Test Guild, How to Test Any API Without Documentation with Liudas Jankauskas, Jun 30, 2026
This episode addresses the critical challenge of testing APIs effectively when comprehensive documentation is absent. Liudas Jankauskas focuses on strategies to move beyond basic “happy path” testing, emphasizing methods to uncover deeper, more impactful bugs that reside in edge cases and undocumented behaviors.
Key takeaway: Effective API testing without documentation requires proactive exploration and a focus on non-happy path scenarios to identify critical, hidden bugs.
Links: Episode
Credit: Joe Colantonio
Testing Podcast, Porridge caring: Finding joy in a shifting industry – Ep 140, Jun 29, 2026
This episode explores the human element within the dynamic software testing industry, focusing on how testers can adapt to constant change and maintain job satisfaction. It delves into strategies for nurturing one’s role and finding personal joy amidst ongoing industry shifts and professional challenges.
Key takeaway: Cultivating resilience and finding personal satisfaction are vital for testers to thrive and adapt successfully in a constantly evolving industry landscape.
Links: Episode
Credit: The Testing Podcast Team
Developers Who Test, (E26) Building Production-Grade AI: Nikolai Grabner on Testing RAGs, LLMs, and the QA Mindset, Jun 29, 2026
Chris Harbert and Nikolai Grabner discuss the complexities of building and testing production-grade AI systems, specifically focusing on Retrieval Augmented Generation (RAGs) and Large Language Models (LLMs). The episode highlights the specialized QA mindset and strategies required to ensure their reliability and performance in real-world applications.
Key takeaway: Testing production-grade AI systems like RAGs and LLMs demands a specialized QA mindset and robust strategies to ensure their reliability and accuracy.
Tools/frameworks: RAGs, LLMs
Links: Episode
Credit: Chris Harbert
Testing Podcast, Your AI Code Review Is Lying to You (Here’s the Fix) with Evan Marshall, Jun 25, 2026
Evan Marshall discusses the inherent limitations of current AI code review tools, which often analyze static code or diffs without understanding dynamic behavior or broader system context. The episode explores why these tools can provide misleading feedback and offers solutions to augment their capabilities with more intelligent validation strategies.
Key takeaway: AI code review tools have inherent limitations in understanding dynamic code execution, necessitating human oversight and advanced validation to overcome misleading feedback.
Tools/frameworks: AI code review tools
Links: Episode
Credit: The Testing Podcast Team
Testing Podcast, Episode 234: Mobile Testing with Aditya Challa, Jun 24, 2026
Brent Jensen and Alan Page host Aditya Challa to discuss the intricacies of mobile testing. This episode covers various aspects unique to mobile application quality assurance, including device fragmentation, network conditions, user experience, and performance challenges. It offers insights into best practices for ensuring robust mobile app functionality and usability.
Key takeaway: Effective mobile testing requires addressing unique challenges such as device variability, network conditions, and user experience to ensure high-quality applications.
Links: Episode
Credit: Brent Jensen and Alan Page
Test Guild, Your AI Code Review Is Lying to You (Here’s the Fix) with Evan Marshall, Jun 23, 2026
Evan Marshall reiterates the limitations of AI code review tools, highlighting their superficial analysis of code changes without grasping underlying intent or runtime implications. The discussion focuses on practical strategies to overcome these deficiencies, advocating for methods that integrate deeper contextual understanding beyond mere diff analysis.
Key takeaway: To mitigate superficial AI code review, testers must implement strategies that provide deeper contextual understanding of code changes and their runtime effects.
Tools/frameworks: AI code review tools
Links: Episode
Credit: Joe Colantonio
Developers Who Test, (E25) DORA and the AI Capabilities Model: Nathen Harvey on Why AI Amplifies the Best and Worst of Your SDLC, Jun 22, 2026
Chris Harbert and Nathen Harvey from Google Cloud explore the intersection of DORA metrics and AI within the Software Development Life Cycle (SDLC). The discussion reveals how AI can significantly amplify both the positive and negative aspects of existing SDLC practices, impacting software delivery performance.
Key takeaway: AI acts as an amplifier within the SDLC, accelerating both efficient and inefficient practices, making a strong understanding of DORA metrics crucial for managing its impact.
Tools/frameworks: DORA
Links: Episode
Credit: Chris Harbert
Testing Podcast, Espisode 233: Empathy Elevated w/ Colette Molteni, Jun 18, 2026
Brent Jensen and Alan Page discuss the importance of empathy in the testing process with Colette Molteni. This episode highlights how understanding user perspectives, developer challenges, and team dynamics leads to more effective, collaborative quality assurance and enhances bug detection.
Key takeaway: Elevating empathy among testers fosters better collaboration and a deeper understanding of user needs, leading to more impactful quality assurance efforts.
Links: Episode
Credit: Brent Jensen and Alan Page
Testing Podcast, AI QA Agents Explained: How Amikoo Helps Testers with Ivan Barajas Vargas, Jun 17, 2026
Ivan Barajas Vargas explains the concept of AI QA agents and how Amikoo specifically assists human testers. The episode details how these agents can automate repetitive tasks, identify potential issues, and free up testers to focus on more complex, exploratory testing, exploring the symbiotic relationship between AI and human intelligence in QA.
Key takeaway: AI QA agents like Amikoo augment human testing by automating routine tasks, allowing testers to prioritize higher-value, critical thinking activities.
Tools/frameworks: Amikoo, AI QA agents
Links: Episode
Credit: The Testing Podcast Team
Testing Podcast, Hot, flaky, and unfinished – Testing, accessibility, and the grief we don’t talk about – Ep 137, Jun 16, 2026
This episode delves into the often-overlooked emotional and practical challenges within testing, including flaky tests, incomplete features, and accessibility issues. It addresses the “grief” associated with these frustrations, encouraging open discussion and fostering a more supportive environment with practical coping strategies for common pains.
Key takeaway: Openly addressing the emotional impact of flaky tests, unfinished features, and accessibility challenges leads to healthier testing practices and team environments.
Links: Episode
Credit: The Testing Podcast Team
Test Guild, AI QA Agents Explained: How Amikoo Helps Testers with Ivan Barajas Vargas, Jun 16, 2026
Ivan Barajas Vargas discusses how AI QA agents, specifically Amikoo, are crucial for scaling quality assurance in an environment where AI generates code at an accelerated pace. The episode tackles the problem of QA falling behind rapid development, positioning AI agents as a solution to maintain quality and velocity.
Key takeaway: AI QA agents like Amikoo are essential for maintaining quality and scaling QA efforts in response to the exponential increase in AI-driven code generation.
Tools/frameworks: Amikoo, AI QA agents
Links: Episode
Credit: Joe Colantonio
Testing Podcast, Future platforming conversations, right here, right now – Ep 139, Jun 15, 2026
This episode focuses on forward-looking discussions about future platforms and the evolving technological landscape. It explores anticipated changes in development environments, deployment strategies, and their implications for testing professionals, equipping listeners with insights to prepare for the next generation of software and infrastructure.
Key takeaway: Staying informed about future platform trends and evolving technologies is crucial for testers to adapt their strategies and ensure relevance in upcoming software development paradigms.
Links: Episode
Credit: The Testing Podcast Team
Testing Podcast, The AI Illusion: Why Testing Still Needs Humans with Joe Colantonio, Jun 10, 2026
Joe Colantonio challenges the prevailing narrative that AI will entirely replace human testers, labeling it the “AI Illusion.” He argues that while AI can automate many aspects of testing, human critical thinking, contextual understanding, and nuanced judgment remain indispensable for ensuring true software quality.
Key takeaway: Despite advancements in AI, human testers remain crucial due to their irreplaceable critical thinking, contextual understanding, and nuanced judgment essential for comprehensive software quality.
Links: Episode
Credit: The Testing Podcast Team
Test Guild, The AI Illusion: Why Testing Still Needs Humans with Joe Colantonio, Jun 09, 2026
Joe Colantonio reiterates his stance on the “AI Illusion,” emphasizing that discussions about AI replacing testers often overlook the deeper complexities of software quality. He contends that AI’s impressive capabilities do not negate the fundamental need for human insight in test strategy, exploratory testing, and understanding user impact.
Key takeaway: The “AI Illusion” dismisses the intricate nuances of software quality, reinforcing that human insight and strategic thinking remain irreplaceable for comprehensive testing and user impact assessment.
Links: Episode
Credit: Joe Colantonio
Testing Podcast, AI Agents in QA: How to Keep Up with AI-Driven Dev Velocity with Vilhelm von Ehrenheim, Jun 08, 2026
Vilhelm von Ehrenheim discusses the challenge of QA keeping pace with accelerated development velocity driven by AI coding tools. The episode introduces AI agents in QA as a strategic solution to bridge this gap, enabling teams to scale their testing efforts without compromising quality and maintaining alignment with rapid deployment cycles.
Key takeaway: Implementing AI agents in QA is a strategic necessity to manage the high-velocity development enabled by AI coding tools, ensuring quality keeps pace with delivery.
Tools/frameworks: AI agents, AI coding tools
Links: Episode
Credit: The Testing Podcast Team
Testing Podcast, Episode 232: More AI with Prince Kohli, Jun 05, 2026
Brent Jensen and Alan Page continue their exploration of AI’s multifaceted impact on software testing, joined by Prince Kohli. This episode likely broadens the discussion on AI applications, ethical considerations, and future implications for the QA landscape, serving as a deeper dive into how AI is reshaping the testing profession.
Key takeaway: Continuous engagement with the evolving applications and ethical considerations of AI is vital for testers to adapt and contribute effectively to the future QA landscape.
Links: Episode
Credit: Brent Jensen and Alan Page
Test Guild, AI Agents in QA: How to Keep Up with AI-Driven Dev Velocity with Vilhelm von Ehrenheim, Jun 02, 2026
Vilhelm von Ehrenheim explains the growing disparity between rapid AI-driven development and traditional QA capabilities. The episode highlights how AI coding tools accelerate development significantly, creating a bottleneck for testing teams. It then presents AI agents as a crucial solution for maintaining quality at high velocity, allowing QA to scale effectively with the accelerated development pipeline.
Key takeaway: AI agents are indispensable for bridging the gap between high-velocity, AI-driven development and the necessity for scalable, effective quality assurance.
Tools/frameworks: AI coding tools, AI agents
Links: Episode
Credit: Joe Colantonio
Key Takeaways from June 2026
Emerging Themes
June 2026’s software testing podcasts were overwhelmingly dominated by the multifaceted discussions surrounding Artificial Intelligence. The central theme explored AI’s transformative yet complex role in quality assurance, from accelerating development to the critical need for human oversight. This month cemented AI not just as a new tool, but as a paradigm shift demanding strategic adaptation from QA leaders.
Most Discussed Tools
Several key tools and frameworks were highlighted, primarily centered around AI integration. Dedicated AI QA agents like Amikoo were featured for their role in scaling testing efforts. The capabilities and limitations of generic AI code review tools and AI coding tools were critically examined. Furthermore, specific AI models such as RAGs (Retrieval Augmented Generation) and LLMs (Large Language Models) were discussed as systems requiring specialized testing approaches. The DORA (DevOps Research and Assessment) framework also appeared in discussions regarding AI’s impact on software delivery performance metrics.
Testing Trends to Watch
Looking ahead, several trends from these software testing podcasts bear close watching. The integration of AI agents into daily QA workflows will become increasingly common, necessitating new skill sets for testers managing these autonomous tools. The focus will intensify on sophisticated methods for testing AI systems themselves, including validating their outputs and biases. Despite AI’s rise, the emphasis on uniquely human attributes, critical thinking, empathy, and contextual understanding, will solidify the role of human testers in strategic and user-centric quality efforts. Lastly, foundational testing areas like API and mobile testing will continue to evolve, requiring robust strategies in complex, interconnected environments.