Many teams treat context as prompt stuffing. Add more docs, longer system prompts, hope the model figures it out. This breaks the moment you try to build agentic systems, multi-step workflows, or a consistent DevEx.

This talk breaks down context engineering, its evolution, layers, and impact. We'll walk through a “context stack” and AI architectural components that answer the “what”, “why”, and “how” that your dev tools will need to optimize your team.

Whether you're building or buying AI dev tools, these pillars will help you gauge AI engineering and products with keen eyes.

Attendees will leave with a framework to audit their current context approach and principles for leveraging context systems that scale beyond ad hoc RAG.