
Dev in the Street
5 Aug 2026
"Discusses software quality, automation, and debugging at Bug Bash Conference, covering AI debates, real-world bug fixes, and networking in tech."
Open episodeMost recent episodes from podcasts in the testing category.

5 Aug 2026
"Discusses software quality, automation, and debugging at Bug Bash Conference, covering AI debates, real-world bug fixes, and networking in tech."
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24 Jul 2026
"Automated testing for LLMs requires AI judges calibrated to human judgment, shifting from deterministic checks to evaluating response essence, with domain expertise crucial to prevent errors and ensure alignment with real-world standards."
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14 Jul 2026
"True leadership prioritizes team success over personal validation, thrives behind the scenes, and measures achievement through collective growth rather than individual accolades."
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14 Jul 2026
"AI is revolutionizing software development by automating testing, generating code, and enhancing collaboration, but challenges like misalignment, trust, and societal impacts must be addressed to ensure ethical and effective adoption."
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12 Jul 2026
"Accessibility in software testing is a human right, requiring early integration to reduce costs and ensure inclusivity, with tools and ethical responsibility playing key roles."
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7 Jul 2026
Non-traditional career transitions into tech emphasize transferable skills, structured support systems, challenges with systemic bias and credential requirements, and evolving hiring practices prioritizing mindset and collaboration over formal qualifications, alongside addressing imposter syndrome.
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30 Jun 2026
Modern quality engineering navigates AI-driven development challenges by prioritizing user-centric testing, embedding automation, fostering collaboration, and evolving from rigid gatekeeping to enabling developer autonomy while balancing speed, stability, and cultural shifts in prioritizing product value over technical perfection.
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30 Jun 2026
AI's challenges at the intersection of human perception and data governance, including hallucinations from inconsistent term definitions, require centralized data ownership, ethical strategies, and collaboration to align AI with human-centric goals, balancing technology with empathy and transparency for inclusive innovation through digital neo-humanism.
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9 Jun 2026
Prioritize actionable testing feedback over vanity metrics like code coverage, critique test volume/speed over relevance and reliability, address LLM code trust and organizational quantitative biases, and advocate for balanced strategies, collaboration, human-centric practices, and skills like critical thinking to elevate testing maturity.
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1 Jun 2026
Addressing the limitations of traditional metrics in evaluating generative AI, the text advocates for context-specific frameworks prioritizing safety, reliability, and use-case alignment, alongside human validation, continuous monitoring, and dynamic evaluation to mitigate hallucinations, bias, and ensure ethical real-world performance.
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