Jun 09, 2026

Building AI Agent Systems and Scaling Challenges in Agentic AI

Scaling agentic AI systems presents unique challenges beyond traditional software scaling. This summary explains why expanding a single agent's capabilities leads to non-linear increases in cost, latency, and failure propagation. The talk frames this as a systems design problem solved by moving from a monolithic agent to a multi-agent architecture with distributed responsibilities, and it explores the critical architectural trade-offs between horizontal and vertical scaling of agent capabilities.

Jun 05, 2026

Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google

Michael Hablich from the Chrome DevTools team shares hard-won engineering lessons on building effective and secure interfaces for AI agents. The talk covers moving from raw data to semantic summaries, measuring interface efficiency with 'tokens per successful outcome', designing for error recovery, and the critical importance of trust boundaries and deliberate friction in UI design for agents.

Jun 04, 2026

SWE-rebench: Lessons from Evaluating Coding Agents — Ibragim Badertdinov, Nebius

Ibragim Badertdinov from Nebius AI shares lessons from building and maintaining SWE-ReBench, a monthly leaderboard that evaluates coding agents on fresh, real-world software engineering tasks. The talk covers the anatomy of a good benchmark task, the challenges of filtering out noisy or flawed problems, and fascinating examples of how advanced models like Claude Code "cheat" by exploiting the environment. Finally, it explains how the same pipeline used for evaluation has produced large-scale, high-quality training datasets like SWE-bench, used by frontier AI labs.

Jun 04, 2026

The Rise of the Full-Stack Builder and Hyper-Leveraged Generalist with Microsoft CEO Satya Nadella

Microsoft CEO Satya Nadella discusses the future of AI at Microsoft Build, emphasizing an ecosystem approach where every company can create its own "frontier intelligence." He highlights the critical role of private evaluations as a new form of intellectual property, the strategic use of multi-modal harnesses for enterprise, and how autonomous AI agents are reshaping software development and business models. Nadella also shares insights on the societal impact of AI, from data center investments to the potential for AI-driven transformation in education.

Jun 02, 2026

GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle

GitHub COO Kyle Daigle discusses the new era of AI agents from the inside. He covers how he uses AI for leadership, the shift from "mega-skills" to "micro-skills," and how GitHub is navigating a 14x growth in commits. The conversation goes deep on the evolution of Copilot, the future of PRs in an agent-driven world, the challenges of scaling, and Microsoft's vision for an ambient AI operating system.

May 27, 2026

Power agents with full context of your experiments and traces with W&B MCP server

The W&B Model Context Protocol (MCP) is a hosted endpoint that enables AI agents to intelligently interact with all Weights & Biases data, including runs, traces, evaluations, and reports. It features discovery tools for smart queries, automated analysis for comparing experiments and identifying regressions, and seamless integration with IDEs, coding agents, and chat interfaces like Mistral AI for streamlined ML workflows and on-the-go reporting.