#Context Engineering

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