Agent Offer
A public interview-preparation repository for backend developers moving into AI agent and large-language-model application engineering, covering agents, backend systems, system design and algorithms.
Agent Offer is a public interview-preparation repository for backend developers moving into AI agent and large-language-model application engineering. It reorganizes scattered personal notes into structured topic directories meant for review, for talking through a project out loud, and for handling follow-up questions in an interview.
Content is organized into five areas: AI agent topics such as fundamentals, workflows, retrieval-augmented generation, context engineering, evaluation and security; backend topics such as databases, caching, message queues and concurrency; system design topics such as capacity estimation and high-concurrency architecture; algorithm problems grouped by pattern; and guidance for describing one's own projects. The README suggests different reading orders for a backend-to-agent transition, a backend interview sprint, or project-narration practice.
It is written in Chinese and licensed under CC BY-NC 4.0, non-commercial use only.