githubzkln/agent-java-interview

agent-java-interview is a collection of study materials aimed at people preparing for Java backend developer interviews, particularly those that include questions about AI Agent systems. The repository contains HTML and Markdown files organized around common interview topics, formatted to be read aloud during practice, printed on paper, or quickly scanned the day before an interview. The Java backend materials cover core language features, collections, concurrency utilities like thread pools and locks, the Spring framework and Spring Boot configuration, MySQL query optimization and transaction handling, Redis data structures and caching patterns, Elasticsearch indexing and search internals, and Kafka message reliability. Each topic is presented in a question-and-answer style meant to be spoken rather than written, with the idea that practicing verbal explanations is more useful for interviews than passive reading. A separate section covers AI Agent and retrieval-augmented generation topics. This includes agent design patterns, multi-agent coordination, memory system design, prompt and context engineering, and security considerations for sandbox environments. There are also system design files focused on building customer service agents, knowledge base retrieval pipelines, and agent evaluation. Several files contain real interview experiences from companies including ByteDance AI Lab and NetEase Cloud Music, with suggested high-scoring verbal answers to the questions that came up. The repository suggests two study paths: a Java backend path that works through language fundamentals, then Spring, then databases and middleware, and finally scenario-based design questions, and an AI Agent path that starts with core Agent concepts and works toward system design and project presentation practice. The files have no open-source license. The readme notes that anyone wanting to redistribute the content should first verify the source and usage rights.