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)
Common engineering topics for Agents in production environments include error handling and retry mechanisms, cost control, evaluation schemes, observability, security boundaries, and concurrency and state management.
The core engineering problems that Agent engineering must solve can be reduced to the three dimensions of capacity, precision, and continuity.
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.
All Facts (3)
Common engineering topics for Agents in production environments include error handling and retry mechanisms, cost control, evaluation schemes, observability, security boundaries, and concurrency and state management.
50%UnverifiedThe core engineering problems that Agent engineering must solve can be reduced to the three dimensions of capacity, precision, and continuity.
50%UnverifiedOne 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.
50%