#Context Engineering

Vincent Koc on Adaptive AI Evaluation

Vincent Koc of Comet ML discusses the limitations of static AI evaluation and the shift towards adaptive, intent-based methods for measuring AI agents.

IBM Master Inventor on AI's Contextual Bottleneck

IBM Master Inventor Martin Keen discusses how context is the key bottleneck for AI models, outlining four pillars of context engineering: connected access, knowledge layer, precision retrieval, and runtime governance.

Baz's Nimrod Hauser on Bending MCP Servers

Baz's Nimrod Hauser discusses best practices for integrating third-party tools into AI agents, focusing on curation, wrapping, guardrails, and tool composition.

Agentic AI Design: Beyond Screens, Into Systems

Context Engineering AI: The New Design Frontier

Agent Memory: The New Frontier of AI Reliability

AI's Codebase Conundrum: HumanLayer's Context Engineering Breakthrough

AI Agent Design: Trust, Context, and the Conversational Future

Autonomous AI Agent Security: Context Engineering's New Battleground

Evals Reimagined: Braintrust's Engineering Approach to AI Development

Beyond Prompts: The Rise of Context Engineering in Smarter AI Systems

Beyond the Hype with Context Engineering as the New Frontier for AI