In this session, you’ll learn:
- What counts as context, and why it affects both quality and cost
- How memory files, skills, and MCP servers differ, and when each one loads
- How to apply progressive disclosure to give agents the right context at the right time
- How to scope context across organization, user, and project
- Why context rot happens, and how to manage sessions with /clear and /compact
- Why human-written context usually beats AI-generated context, and how to keep it current
More sessions will follow. Each one covers a building block of agentic development: model, context, prompt, tools, and environment.
