InfoQ Homepage Artificial Intelligence Content on InfoQ
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What Does it Really Mean to Program with AI: a Conversation with Joy Ebertz
In this podcast, Michael Stiefel spoke to Joy Ebertz about how the use of artificial intelligence is changing the way architects and developers do their jobs. Focusing on the long term success of the business is one of the most neglected tasks of an architect. This task becomes particularly important as the nature of artificial intelligence changes the landscape of software development.
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Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography
In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion explores how security engineering is shifting from relying on human vigilance toward automated, system-level defences across the entire application stack.
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The AI Revolution Fails without Psychological Safety for Developers: a Conversation with Erin Doyle
In this podcast, Michael Stiefel spoke to Erin Doyle about how artificial intelligence tools are transforming the software development process, and how they are affecting software engineers. Architecture skills are now critical because engineers need to understand how to build systems and handle the constraints and associated ambiguity in the requirements.
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The Future of AI: from Enterprise Adoption to Open Source Sovereignty
In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" moment in AI adoption, exploring why companies are rushing toward these technologies to maintain competitive advantages while grappling with reliability, ethical considerations, and the evolving role of software engineering.
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Securing AI Agents: Identity, Authorization, and the DPACT Framework
In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Agarwal introduces the DPACT framework (Delegation, Policy, Auditability, Context, and Time) as a blueprint for building responsible, guardrailed agentic systems, moving away from simple token-based access toward bounded, delegated authority.
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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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Transforming Life Sciences: AI, Vibe Coding, and Drug Development Acceleration
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Satish Kothapalli about the transformative impact of AI and vibe coding in life sciences software development, the acceleration of drug development timelines, and the evolving roles of developers in an AI-augmented environment.
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AI Amplifies Team Strengths and Weaknesses in Software Development
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Jon Kern and Anita Zbieg about how AI amplifies both delivery efficiency and weaknesses in development teams, the importance of fundamental collaboration practices, and maintaining holistic system thinking.
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Building a Product-First Engineering Culture in the Age of AI
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Zach Lloyd about building a product-first engineering culture, and the critical importance of developers learning to effectively use AI tools while maintaining responsibility for code quality and understanding fundamental programming principles.
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GitHub Next: how their research and prototyping team operates
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Idan Gazit and Eddie Aftandilian from GitHub Next how their research and prototyping team operates as a "department of fool around and find out", exploring AI-powered developer tools through rapid experimentation and user feedback.