How Modern AI Agents Use Harnesses for Planning, Execution, and Recovery
Introduction AI agent orchestration in complex systems reveals a fundamental tension: while separating planning, execution, and validation into...
Observability for AI Agents: Logs, Traces, and Harness-Level Monitoring
Introduction AI agents operating within multi-agent orchestration frameworks rarely fail cleanly. Execution flows intertwine asynchronously, decisions cascade across...