Marko Klemetti and Kris Jenkins explore how Generative AI is not just another tool but the next major paradigm shift in software development, forcing a radical reinvention of team structures, management roles, and the entire SDLC to achieve a 'five-minute-to-production' North Star.
A deep dive into the 2026 IBM X-Force Threat Intelligence Index, exploring the shift to exploiting public-facing applications, the rise of AI agent-related threats, critical AI infrastructure flaws, and the need for a more human-centric approach to threat intelligence.
Peter Steinberger, creator of OpenClaw, discusses his journey into open source, the unexpected success of his AI agent, and how his development workflow has been fundamentally transformed by using agentic AI tools like Codex.
Authors Bill Frasure, Bruce Eckel, and James Ward discuss the core concepts of Effect-Oriented Programming, explaining how effects are composable operations that encapsulate side effects and defer execution. They highlight how effect systems use compiler-checked types to manage unpredictability, improve testability, and make functional programming concepts accessible without intimidating jargon.
Princeton Professor Tom Griffiths discusses his book "The Laws of Thought," exploring the mathematical models that govern both biological and artificial intelligence. He details the fundamental differences between human and machine cognition, rooted in their vastly different constraints, and explains how concepts like inductive bias, probability, and curiosity can bridge the gap between cognitive science and modern AI.
Large language models are transforming search from a static, stateless process into a dynamic, agent-based reasoning system. This talk explores the practical patterns—like query rewriting, hybrid retrieval, and agent-based reranking—for building and deploying these 'agentic search' systems at scale, covering the architectural principles, production challenges, and the future trajectory where search itself may dissolve into understanding.