Jun 21, 2026

6 Things to Know about AIE World's Fair 2026

Discover the AI Engineering World's Fair 2026, the largest iteration yet, offering an unparalleled deep dive into AI engineering with expanded tracks on auto research, GPU specialization, and new verticals like finance and healthcare. Highlights include an innovative expo experience, exclusive leadership initiatives like the "Token Billionaires Program," and unique side events fostering community, including "Posters on AI" where attendees can defend their tweets. This event is designed to be a curated hub for practical, cutting-edge insights and networking in the AI/ML professional landscape.

Jun 15, 2026

Context Engineering for Coding Agents

A deep dive into advanced engineering techniques for coding agents, focusing on effective context management in LLMs like Claude. The talk introduces a practical framework using a brain-inspired analogy, proposing a Markdown-based 'wiki' as a long-term memory system to augment the agent's limited context window. This approach is demonstrated through a real-world challenge of extracting structured data from technical drawings.

May 26, 2026

The Four Types of Memory Every AI Agent Needs

AI agents utilize four distinct types of memory, analogous to human cognition, to move beyond simple chatbot responses. This summary explores the CoALA framework, detailing working, semantic, procedural, and episodic memory and how they enable agents to learn, recall skills, and leverage past experiences.

May 20, 2026

Building MCP Before MCP Existed: Inside Despegar's Sofia Agent

A deep dive into Despegar's GenAI travel agent, Sofia. Explore its multi-agent architecture, the custom orchestration layer 'Chappi' built before MCP was a standard, and the strategy of decentralizing agent development across company squads to cover the entire five-phase travel arc.

Mar 08, 2026

4 Ways AI Agents Should Behave for Smarter Systems

Grant Miller challenges the "Hollywood view" of AI super agents, proposing a shift towards collaborative, specialized agentic systems. He introduces a framework for categorizing agents based on their risk and capability, detailing how to design safer, more effective AI applications by minimizing access, implementing dynamic controls, and incorporating a human-in-the-loop for high-risk tasks.

Jan 12, 2026

Multi-Agent Systems for the Misinformation Lifecycle

A detailed overview of a modular, five-agent system designed to combat the entire lifecycle of digital misinformation. Based on an ICWSM research paper, this practitioner's guide details the roles of the Classifier, Indexer, Extractor, Corrector, and Verifier agents. The system emphasizes scalability, explainability, and high precision, moving beyond the limitations of single-LLM solutions. The talk covers the complete blueprint, from agent coordination and MLOps to holistic evaluation and optimization strategies for production environments.