InfoQ Homepage Architecture Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Context is the Key to the Agentic Architecture Revolution: a Conversation with Baruch Sadogursky
Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. LLM can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM’s reasoning, software specifications can become the source of truth, while the code becomes a disposable intermediate language.
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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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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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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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How Blameless Culture Transforms Engineering Teams
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Tameem Hourani about building a blameless engineering culture through radical transparency, focusing on system resilience over individual blame, and creating high-performing teams that can embrace change and learn from failures.
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The Evolution of Code Review: From Bug-Finding to Team Building
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Greg Foster about the evolution and purpose of code reviews, building teams with kindness, expertise, and urgency, and how AI tools are changing software development.
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Building a Resilient and Inclusive Engineering Culture with Matthew Card
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Matthew Card about his resilience framework (CAPSS - Confidence, Adaptability, Purpose, Social Support) which has helped him overcome career challenges and now guides him in building inclusive engineering cultures by empowering teams and breaking echo chambers.
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Resilience, Observability and Unintended Consequences of Automation
In this podcast, Shane Hastie, the Lead Editor for Culture & Methods, spoke to Courtney Nash about her research on the unintended consequences of automation in software systems, the importance of learning from incidents, and maintaining human expertise in complex systems.
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Building Responsible AI Culture: Governance, Diversity, and the Future of Development
Shane Hastie, Lead Editor for Culture & Methods spoke to Inna Tokarev Sela, CEO of illumex, about implementing generative AI in development teams, emphasizing the critical need for robust governance across data, policy enforcement, and explainability layers. She also discusses how intentional workplace policies and female-oriented mentorship programs have helped achieve gender balance in tech.
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