[KongchangAI]
ConceptAgent Engineering

Agent Engineering

Agent Engineering refers to the systematic engineering practices surrounding the design, development, and deployment of AI agents. It covers core capabilities including planning, tool invocation, memory mechanisms, and multi-agent collaboration, and represents an advanced direction beyond Prompt Engineering.

Timeline (last 90 days)

Oct 1

One migration-friendly compromise practice is to wrap framework calls with custom interfaces, decouple business logic and prompt tool definitions from the framework runtime, maintain an independent evaluation system, and adopt a neutral storage format for state and tracing data.

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