Design, evaluate, and optimize production-grade AI Agent systems using FastAPI, LangChain, LangGraph, LLM orchestration, multi-agent architectures, tool calling, memory, retrieval, and workflow graphs. Use when architecting or reviewing scalable, high-performance AI Agent systems for real-world deployment.
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
Design high-performance, scalable, and fault-tolerant backend systems using Python (FastAPI, async/concurrency), real-time architectures, APIs, databases, queues, and caches. Use when designing system architecture, backend services, scalability strategies, or evaluating trade-offs for production-grade systems.
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