Jul 14, 2026

WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar

Prukalpa Sankar argues that while AI models are increasingly intelligent, their practical business utility is limited by a lack of contextual intelligence. She proposes a "context layer" as a crucial solution, akin to a "GitHub for context," to centralize and manage business knowledge, expertise, and norms. This system aims to provide AI agents with the shared, versioned, and continuously learning context necessary to overcome the challenges of isolated systems and context sprawl, ultimately differentiating companies in an AI-driven world.

Jul 14, 2026

Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMind

Philipp Schmid from Google DeepMind emphasizes the critical, often-overlooked need for rigorous evaluation of AI agent skills. He argues that shipping skills without testing is akin to deploying code without unit tests, leading to unreliable agent behavior. The talk covers what defines an agent skill, strategies for writing effective and correctly triggering skills, and a practical guide to building lightweight evaluation harnesses to catch failures proactively.

Jul 14, 2026

Forward Deployed Engineering at Cursor — Pauline Brunet

Pauline Brunet, VP of Forward Deployed Engineering at Cursor, details how FDE drives AI adoption in enterprises. She distinguishes FDE from traditional services, outlines the 'magical unicorn' FDE profile, shares Cursor's project-based co-development approach, and offers best practices for team structure, customer engagement, and measuring ROI.

Jul 14, 2026

Don't Build Agents You Can't Answer For — Addy Osmani

Addy Osmani discusses the evolving role of software engineers in the age of AI agents, emphasizing a shift from code production to human judgment, accountability, and system ownership. He highlights new challenges like cognitive debt and the "orchestration tax," proposing that the modern engineer's value lies in "answerability," taste, and discerning which paths warrant human investment and responsibility.

Jul 14, 2026

5 More AI Myths & The Truth Behind Them: ML, Context, Agents & More

Martin Keen debunks five common AI myths, covering topics from reduced AI hallucinations and the misinterpretation of AI's "thinking" process, to the rising costs of AI inference, the limitations of large context windows, and the current challenges to fully autonomous AI agents.

Jul 14, 2026

Why the Best AI Stories Aren't About AI (with Steve Mock)

Steve Mock, investor and entrepreneur, discusses aisavedme.org, a platform born from his father's question, "How does one use AI?". The site gathers real-world stories of AI's positive impact, revealing surprising human outcomes in healthcare, education, and personal fulfillment, often less about technology and more about connection. He also shares his unique no-code journey in building the site and his venture capital insights into the "data flywheel" and "vertical AI" as key to successful investments.