I wrote a technical book on the infrastructure layer behind LLM
applications - the part between "call the API" and "it works in
production."
Story behind: Applying for jobs on LinkedIn and reading job requirements for
AI companies. Asking Chatgpt about each topic and getting answers. . asked how about book about it.
ChatGpt said great. Asked Claude code to help me with it from our conversations.
Covers: distributed systems foundations, LLM gateways, RAG pipelines,
vector search, agent orchestration, multi-provider routing, cost
control, and system design walkthroughs.
GitHub: https://github.com/MandeepSinghthakur/production-ai-systems
Written in TypeScript, runs on Node 22.6+ with zero dependencies -
no Docker, no API keys, no npm install. Clone and run.
Target audience: engineers who know software but haven't run LLM
systems in production yet.
Looking for technical review .
I wrote a technical book on the infrastructure layer behind LLM applications - the part between "call the API" and "it works in production."
Story behind: Applying for jobs on LinkedIn and reading job requirements for AI companies. Asking Chatgpt about each topic and getting answers. . asked how about book about it. ChatGpt said great. Asked Claude code to help me with it from our conversations.