Multi-Agent Systems

Explore the emerging field of AI agent orchestration for code development, dissecting the claims of rapid productivity against real-world challenges, costs, and integration hurdles. Learn about effective strategies and practical insights from developers navigating this new frontier.

Explore the engineering and design challenges of building local-first, multi-agent AI systems in Rust, from crafting advanced client-side interactions to ensuring predictable evolution and user trust in stateful, on-device intelligence.

Discover why the way we interact with LLMs—using decomposition, multi-perspective engagement, and a collaborative tone—may be more crucial than perfecting prompts.