Strong activity around agent tooling and infrastructure shows the community is moving past proof-of-concepts. OpenHands signals real demand for production-ready agent platforms, while projects like TokenTamer tackle the cost problems everyone's hitting. The maintenance burden discussions show maturity - we're past the honeymoon phase and thinking seriously about what it takes to keep AI agents working.

Orchestration harnesses manage the coordination and execution of multiple AI agents or workflows, handling triggers, permissions, and data flow between components. Today's items show this pattern in OpenHands for agent orchestration, opencode-harness for standardised coding agent execution, and oh-my-taiyiforge for structured AI workflows. They're essential infrastructure for production AI systems.

AST parsing analyses code structure to extract essential information whilst discarding bloat, like keeping function signatures but removing implementation bodies. TokenTamer uses this technique to compress code context by 50-80%, sending only the structural skeleton that LLMs need for understanding without the verbose implementation details. This reduces API costs dramatically whilst preserving the semantic meaning necessary for code generation and analysis.