Context Engineering – Managing Intelligence at Scale

Move beyond prompting and learn to design and scale AI agents with context engineering. In this hands-on session, you’ll control what your agent sees, remembers, and prioritizes for reliable performance in complex workflows. What You’ll Learn: - The 5 context types: input, runtime, compression, isolation, long-term memory - Context compression, middleware, and subagent-based task delegation - How to prevent common AI failure modes at scale What You’ll Build: A research AI agent that compresses context, delegates tasks, enhances tool calls, and manages long-term memory across multi-step wor…