InfoQ Homepage Podcasts
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A Java Performance Quest: Taming Unsafe Code, Embracing Idiomatic Style & Debugging the Linux Kernel
In this podcast, Jaromir Hamala, a seasoned Java engineer specialising in high-throughput data systems, shares his thoughts on how developers can tackle high-performance software development. He touches on the benefits of modern Java that allow writing idiomatic Java code while remaining "mechanically sympathetic", and also on his experience debugging a Linux kernel bug.
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Engineering Stable, Secure and Scalable Platforms: a Conversation with Matthew Liste
In this podcast, Michael Stiefel spoke to Matthew Liste about building and managing software platforms. Platform services act as the basis for application development, and must always be stable, secure, and scalable. Scaling these systems is particularly difficult because unknown resource contention often causes them to break.
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How SBOMs and Engineering Discipline Can Help You Avoid Trivy’s Compromise
Viktor Peterson, part of the CISA task force working on SBOM blueprints and co-founder of sbomify, explores the shifting landscape of software supply chain security as the EU's Cyber Resilience Act (CRA) comes into force, a "GDPR moment" for the industry.
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Context Engineering with Adi Polak
In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.
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Failure as a Means to Build Resilient Software Systems: a Conversation with Lorin Hochstein
In this podcast Michael Stiefel spoke to Lorin Hochstein about how real-world failures provide insight into how software systems actually work. Our first topic was understanding that while automated fault injection tools can introduce basic robustness into a system, they cannot replicate the understanding that comes from mitigating complicated software failures in the real world.
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Tiger Teams, Evals and Agents: The New AI Engineering Playbook
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Sam Bhagwat, co-founder and CEO of Mastra, about building and sustaining open source communities, the emerging discipline of AI engineering and evals, and how cross-functional Tiger Teams are key to shipping agentic applications.
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Information Flow: The Hidden Driver of Engineering Culture
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adrian Peryer about Ron Westrum's organizational culture continuum, the role of information flow in shaping team culture, and how leaders can develop requisite imagination to detect weak signals.
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Beyond Code: How Engineers Need to Evolve in the AI Era
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Ben Greene about embracing AI in software engineering, expanding beyond pure technical skills to understand business context, and prioritizing human empathy in increasingly automated systems.
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The Technical Founder's Path: Code, Leadership, and Balance
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Trisha Ballakur about transitioning from coder to startup CEO, balancing technical leadership with business development, and avoiding burnout on the journey.
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Culture Through Tension: Leading Interdisciplinary Teams with Nick Gillian
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Nick Gillian about building cross-functional teams for physical AI innovation, growing engineering culture through positive tensions, and navigating the journey from technical execution to organizational influence.