Knowledge management

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.

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 02, 2026

I Gave an AI Agent the Keys to My Life (Here's What Happened) — Radek Sienkiewicz, Velvet Shark

A deep dive into the practical, long-term experience of giving a personal AI agent (Open-Claw) incremental control over one's digital life. The talk covers the gradual "permission creep," the pivotal role of an Obsidian knowledge base for providing context, the ecosystem of overnight cron jobs for self-maintenance, and the philosophy of using an agent to "optimize for your future self."

Aug 19, 2025

AI Changed Stack Overflow for the Better

Stack Overflow CEO Prashanth Chandrashekar discusses the platform's evolution in the AI era, focusing on licensing its trusted Q&A corpus to major AI labs, expanding beyond Q&A to include discussions and live chat, and the critical role of its enterprise solution in powering internal AI agents. A key insight from their upcoming developer survey reveals that while AI adoption for coding is rising, developer trust in AI-generated output is declining, reinforcing Stack Overflow's position as a vital source of human-curated, reliable knowledge.

Aug 17, 2025

Knowledge is Eventually Consistent // Devin Stein // MLOps Podcast #335

Devin Stein, CEO of Dosu, discusses a new paradigm for knowledge management where an AI agent learns from code, conversations, and tickets to create an 'eventually consistent' knowledge base. The conversation explores the lifecycle of facts, the challenges of agent interaction, and the future of documentation in a world of collaborating AI agents.

Aug 05, 2025

Arvind Jain on building Glean and the future of enterprise AI

Arvind Jain, CEO of Glean, details the company's journey from a pre-LLM enterprise search innovator to a leading AI agent platform. He covers their hybrid model strategy, the critical role of permission-aware RAG for security, and how AI agents are creating 'evergreen' documentation and reshaping enterprise workflows.