Context engineering

Dec 19, 2025

Architecting AI Security & Trust Layers | Sumeet Jeswani | AI/Cloud Specialist | Google #ai

Sumeet Jeswani of Google discusses the critical shift from AI-powered to AI-orchestrated cyber attacks, where autonomous agents now lead complex security breaches. The summary explores new manipulation techniques like prompt and data injection, and outlines a multi-layered defense strategy rooted in the principles of least agency, defense-in-depth, and building security into AI systems from the ground up.

Dec 16, 2025

Context Engineering 2.0

Simba Khadder explains the evolution of feature stores and MLOps, detailing why they remain crucial in the age of LLMs for high-scale use cases. He discusses the acquisition of his company, Featureform, by Redis and outlines their new vision: building a "Context Engine" for AI. This engine aims to unify structured data, unstructured data, and memory into a single pane of glass, moving beyond simple RAG to a more sophisticated "Context Engineering 2.0" that empowers agents with rich, queryable context.

Nov 24, 2025

Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents — Alex Gavrilescu, Funstage

Alex Gavrilescu introduces Backlog.md, a Git-based project management tool designed to structure AI-driven development. By breaking down features into Markdown tasks and using a multi-step review process, it helps prevent AI agents from running out of context or deviating from requirements, enabling a more predictable and efficient workflow.

Nov 24, 2025

The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly

This talk introduces Meta-ACE, a learned meta-optimization framework that dynamically orchestrates multiple strategies (context evolution, adaptive compute, hierarchical verification, and more) to maximize AI agent performance. The framework profiles each task to select an optimal strategy bundle, overcoming the single-dimension limitations of previous methods.

Nov 22, 2025

Context Engineering & Agentic Search with the CEO of Chroma

Jeff Huber, CEO of Chroma, discusses "context rot," the degradation of AI performance in large context windows, and outlines a new vision for retrieval infrastructure. He covers the evolution of search, the importance of a two-stage recall-then-precision pipeline, and the challenges of agentic memory, advocating for a shift from AI "alchemy" to reliable engineering.

Oct 30, 2025

The End of Ad-Hoc BI Dashboards

Nick Schrock, CTO of Dagster, introduces Compass, a Slack-native tool for collaborative, exploratory data analysis, and discusses the rising importance of 'context engineering' as the new data pipeline in the AI era.