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Agent Engineering: From Demo to Production
Getting an Agent to work in a demo is easy; surviving real traffic is hard. This level covers four production gates: how to know if it's actually good (evaluation), how to give it knowledge and memory (RAG), whether to split it into many (multi-agent), and how to cut cost and latency.
Unit 1
The Four Gates of a Production Agent
Evaluation, RAG, multi-agent, and cost — turning a demo into a system that holds up under real traffic.
- 1Evaluation & Observability: How Do You Know If Your Agent Actually WorksOffline eval + online monitoring; execution-based grading + LLM judges (which are biased)3 Q
- 2RAG & Memory: Giving Your Agent Knowledge and a MemoryParametric + non-parametric memory, reduces (not eliminates) hallucination, plus chunking / lost-in-the-middle / seven pitfalls3 Q
- 3Multi-Agent: When to Split, When Not ToWorkflow vs. agent, when it fits, plus the 15x cost and errors that compound3 Q
- 4Cost & Latency: Making Your Agent Affordable and FastPrefill / decode, output is pricier, plus caching / batching / routing / compression / speculative decoding3 Q