InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
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.
-
How Will We Train Developers if AI Does the Routine Work? A Conversation with Scott Hanselman
In this podcast, Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained. Hanselman suggests the software industry should adopt a preceptorship model similar to the nursing profession.
-
Scott Jenson on Evolving Desktop OS, Local-First, & Agentic UX
In this episode, Scott Jenson, a veteran UX designer known for his work on the Macintosh, Google Maps, and Chrome, examines the long-term stagnation of desktop operating systems and the limitations of current mobile and cloud-centric models.
-
The Human Edge: Why Brownfield Codebases Need Mob Programming, Not Just AI Vibes
Asgaut Mjølne Söderbom and Ola Hast discuss the evolution of their software engineering practices past continuous deployment and pair engineering. The conversation continues where it left off in the previous episode and focuses on the experiments in adopting Claude Code and the reasons why they consider it good for everything else, but not coding.
-
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.
-
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.
-
Democratizing AI at Thomson Reuters: Empowering Teams and Driving Innovation
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Maria Apazoglou, Head of AI, BI & Data Platforms at Thomson Reuters, about as her experience in building great teams and democratizing the use of large language models across the organization.
-
Exploring the Impact of Generative AI on Software Engineering and Career Paths
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Alex Cruikshank, the Director of Software Engineering at West Monroe.