A workload-first playbook for Kimi K2.6 inference: measure request shape, find the current bottleneck, then tune decode, cache, and routing.
Audit coding agent data flows before login with canary repositories, auth-state diffs, filesystem traces, egress capture, and deletion evidence.
A study of 8,135 agent trials finds skills work mainly as procedural anchors. Use this evidence-based checklist to design better SKILL.md files.
UiPath Maestro Flow lets coding agents create workflows, then captures value in durable execution, observability, governance, and metered runtime use.
Agent observability needs evidence about outcomes, actions, cost, identity, and approvals. Chain-of-thought is a signal, not the production record.
AI agent benchmark scores mix models, harnesses, tasks, tests, and environments. Use this framework to build a reproducible coding-agent eval.