Discover practical strategies to gain granular control over your AI coding agent costs and prevent budget overruns. Learn how to track usage per agent/task, optimize orchestration, and strategically route models to save money.
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.