control-flow

The article argues that reliable AI agents require deterministic control flow and programmatic verification in software, rather than relying solely on complex prompt chains.

AgentSPEX introduces a domain-specific language for specifying modular, interpretable LLM-agent workflows with explicit control flow, state management, and a visual editor, outperforming existing Python-coupled frameworks.

This article systematically reviews AI Agent architecture and engineering practices, covering control flow, context engineering, tool design, memory, multi-agent organization, evaluation, tracing, and security. It is based on the OpenClaw implementation and emphasizes the critical role of Harness (testing and validation infrastructure) for system stability.