Strong momentum around agent infrastructure with sandboxd solving dev sandbox isolation and LoopBuster tackling the dead loop problem. Production-ready tooling is emerging fast.

MCP (Model Context Protocol) provides a standardised way for AI models to access external tools and data sources during conversations. Today's tools like hermes-dreaming, OpenMAO, and Burrow all integrate MCP for enhanced capabilities. For devs, it means building agents that can reliably interact with our existing tools and APIs without custom integration work.

Circuit breaking in AI systems automatically stops execution when detecting harmful patterns like infinite loops, excessive resource usage, or repetitive behaviour. LoopBuster demonstrates this with cycle detection and budget ceilings for agents. It's borrowed from distributed systems where circuit breakers prevent cascade failures, helping devs build more reliable AI workflows that won't burn through API credits or crash systems.