More How To Test This? episodes
Published 4 Mar 2026
Duration: 00:44:15
Spec2Test AI is an AI-driven tool that analyzes software requirements early in development to reduce defects and enhance quality intelligence.
Episode #16 How to Test with Spec2TestAI | Guest: Missy TrumplerIn this episode of How to Test This, Missy Trumpler, CEO of AgileAI Labs, explains why...
The podcast explores Spec2Test AI, an AI-powered tool aimed at improving software quality by analyzing requirements during the early stages of development. It shifts testing from reactive to proactive by identifying risks and defects caused by ambiguous or incomplete requirements, which account for up to 7% of software defects. The tool streamlines QA processes through automation, emphasizing traceability across development phases and aligning requirements, test cases, and code prompts using AI. Traditional challenges, such as miscommunication between teams and flawed testing due to poor input ("garbage in, garbage out"), are addressed by enhancing collaboration and ensuring consistent data flow through AI-driven traceability.
The tool supports end-to-end workflows, including refining user stories, generating test cases, and producing code, with features like a knowledge base for requirement enhancement and compliance alignment. It underscores the importance of human oversight to mitigate AI hallucinations and ensure transparency in AI-driven decisions. Future goals include integrating synthetic data and developing agentic AI capabilities, while maintaining a focus on quality assurance throughout the software development lifecycle.
29 Mar 2026 How to Test With Agentic AI automation Tool - Geosley Andrades
Agentic automation AI is reshaping QA by enabling autonomous testing, addressing skill gaps and scalability through adaptive, no-code solutions, and urging professionals to upskill in AI/ML, prioritize business logic, and balance automation with human oversight for reliable, secure, and context-aware quality assurance.
27 Mar 2026 How to Test a Release Oleksandr Bolzhelarskyi
Strategies for effective software testing emphasize separating QA from quality management, addressing role confusion and oversight gaps, utilizing process improvements and tools, balancing speed with stability through rigorous regression testing, fostering collaboration between teams, and leveraging automation and continuous improvement to ensure reliable releases.
19 Mar 2026 How to Test with Independent QA | Guest: Tudor Brad
The evolving role of QA in software development emphasizes independent teams for unbiased testing, addresses challenges like post-launch failures and AI tool adaptation, integrates proactive security and ethics, and highlights future trends in AI-driven QA and ethical compliance.
17 Mar 2026 How to Test This with AI and MCP - Deepak Kamboj
AI integration in test automation streamlines processes via agents generating test cases, analyzing failures, and executing accessibility/performance checks with tools like Playwright, leveraging frameworks like MCP, TypeScript/Python workflows, while addressing challenges such as context awareness, flaky tests, and advancing toward autonomous, scalable AI-driven testing strategies.
7 Mar 2026 How to test with HIST - Ruslan Desyatnikov
The podcast discusses a transformative approach to Quality Assurance that emphasizes proactive risk mitigation, business alignment, and elevating the QA profession through critical thinking and AI adaptation.