InfoQ Homepage Podcasts
About this Podcast
Intended for architects and senior developers.
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Increasing Users' Data Agency: from BlueSky's AT Protocol to the Local-First Software Movement
Martin Kleppmann, an associate professor at Cambridge and author of Designing Data-Intensive Applications, discusses the evolution of data systems over the last decade, mainly the shift from monolithic databases to modular building blocks. Kleppmann underlines the importance of moving from cloud-centric data storage systems to decentralised data storage similar to Bluesky’s AT protocol.
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From MCP and Vibe Coding to Harness Engineering: How AI Native Engineering Evolved in One Year
Birgitta Böckeler, Distinguished Engineer at Thoughtworks, returns to discuss the rapid evolution of AI in software delivery. She touches on the evolution from vibe coding, the changing tools landscape and the more autonomous agents that, besides higher velocity, introduce higher risk.
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Requirements Analysis for Architects: a Conversation with Sonya Natanzon
Michael Stiefel spoke to Sonya Natanzon, about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution statements.
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Chasing Efficient Java Development: from 1BRC to Developing Hardwood AI Natively
Gunnar Morling, technologist at Confluent and Java Champion, shares his experiences with building high-performance applications in Java, especially in the data space. He shares insights from experiments with building durable execution engines, bootstrapping, and AI natively developing Apache Hardwood - a minimal dependencies Java parser for Apache Parquet.
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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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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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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.
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Why Engineering Culture Is Everything: Building Teams That Actually Work
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Gonzalo (Glo) Maldonado about the central role of engineering culture, measuring team health through qualitative metrics, and learning from other engineering disciplines.
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Effective Mentorship and Remote Team Culture with Gilad Shoham
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Gilad Shoham about building effective mentorship relationships, leading fully distributed teams and the evolving role of developers in an AI-augmented future.
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