Lior Gavish, CTO and co-founder of Monte Carlo Data, discusses the critical transition from data observability to agent observability. He covers the widespread adoption of AI agents in data teams, the new challenges they introduce for monitoring, and why traditional tools fall short in providing the necessary insights into agent performance, security, and governance.
Harrison Chase, co-founder of LangChain, explains the evolution of AI agents from early, rigid scaffolding to modern, flexible "harnesses." He argues that "context engineering"—managing what an LLM sees—is the key to building effective long-horizon agents. Chase also explores how agent development differs from traditional software, highlighting the critical role of traces as the new source of truth and memory systems that enable agents to improve themselves over time.
A panel discussion with Sam Newman, Jacqui Read, and Simon Rohrer exploring the intersection of software design and architecture. The conversation delves into the critical role of communication, the practical application of Architecture Decision Records (ADRs), strategies for bridging the gap between architects and developers, and modern approaches to standardization through platform engineering and creating agile enterprise architectures.
In an era where AI accelerates the speed, scale, and polish of cyberattacks like phishing and deepfakes, the human element remains the most critical variable. This discussion explores why traditional 'checkbox' training fails and how immersive, stress-inducing simulations like the cyber range are essential for building the muscle memory, confidence, and decision-making skills needed for effective incident response.
Shahbuland Matiana and Andrew Lapp from Overworld Labs introduce Waypoint 1, a 2 billion-parameter open-source world simulation model designed to run on consumer hardware at 60 FPS. They discuss its novel architecture, which combines a causal language model with an image diffusion model to denoise frames in real-time based on user prompts and controller inputs, emphasizing low-latency interaction and the importance of local execution for user privacy.
Atlassian Co-Founder & CEO Mike Cannon-Brookes shares insights from a massive internal study of over 10,000 engineers using AI coding tools. He discusses the true measures of developer productivity, the future of developer roles, and why human-AI collaboration, powered by organizational context, is the key to the future.