interview prep / study notes (Java backend & AI Agent)
A public, Chinese-language interview-prep notes repository that reorganizes study material for backend engineers moving into AI Agent roles, covering AI/Agent, backend, system design, algorithms and project narration.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
choose it when you want the same agent-job interview curriculum plus runnable Python/LangGraph projects instead of condensed notes.
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
swap in when you need deeper, actively maintained MySQL/JVM/concurrency/分布式 coverage with daily commits and a permissive Apache-2.0 license.
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
closest peer — an actively updated AI-agent/LangGraph/advanced-RAG interview guide rendered as a site, pick it if you want agent depth over the seed's backend breadth.
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
pick it for a language-agnostic catalogue of free courses, books and question banks; it aggregates links instead of giving structured, interview-ready depth on one track.
2026 年最新的免费编程资源大全，持续更新！🔥 覆盖各种语言和方向（Java / Python / C++ / JavaScript / TypeScript / Golang / 前端 / 后端 / AI大模型应用开发 / AI Agent开发等）的学习路线、零基础入门教程、项目实战教程、经典编程书籍、面试题合集、求职经验分享、简历模板、开源项目推荐、开发工具推荐、实用技术资源等，对程序员和计算机专业学生非常有帮助！⭐️ 学编程，先收藏这个仓库！
choose it for beginner-to-advanced learning roadmaps across languages; it stays at roadmap/tutorial level rather than interview drill-down.
程序员鱼皮的编程宝典 ⭐️ 2026年最全编程学习路线图！包含Java学习路线、前端学习路线、Python学习路线、C++学习路线、算法学习路线、计算机基础学习路线、AI应用开发学习路线、AI Agent开发学习路线等。提供编程入门教程、AI大模型应用开发教程、RAG开发实战、MCP开发教程、Prompt工程指南、LLM应用开发、技术知识分享、学习资源推荐、项目实战教程、热门面试题、求职经验、简历优化、编程自学指南等内容，适用于所有零基础学编程、学习AI开发、转行程序员、计算机专业学生、求职找工作的同学 💎 编程学习，就来编程导航！
only worth swapping if your interviews are in Go rather than Java, and it has not been pushed in roughly eight months.
aimed at AIGC/CV/NLP algorithm-engineer loops — choose it for model-side depth, but you give up the backend and system-design tracks.
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
covers only the algorithms slice: use it for multi-language LeetCode solutions, not for backend, system-design or agent prep.
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
narrower architecture-only prep: use it when you want bilingual architecture tutorials, templates and end-to-end cases rather than a full interview curriculum.
🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.
system-design interview prep only, and it has been unmaintained for about 1.7 years.
Learn how to design large-scale systems. Prep for the system design interview.
use it for English-language system-design fundamentals plus Anki flashcards; it covers none of the backend, algorithm or agent material.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
a single-topic deep dive into Claude Code's agent harness — take it to understand harness internals, not for cross-topic interview breadth.
《御舆：解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经 —— Claude Code 架构深度剖析，15 章从对话循环到构建你自己的 Agent Harness。在线阅读网站：
LLD/OOP design prep only, and stale after roughly 2.7 years without a push.
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
a book-length treatment of agent design principles with per-chapter code: deeper on agents, but no backend, system-design or algorithm coverage.
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
a code-first LangChain/LangGraph course; take it for hands-on practice only, it has no question bank or backend coverage.
A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
older Python-track prep exercises, unmaintained for about 2.1 years; only relevant if your interviews are in Python.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
a hosted question-bank website — drill Q&A in a browser, but it is not markdown you can fork, reorganize or read offline.
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These projects were analysed and named agent_java_offer among their alternatives. The relationship is not symmetric — how agent_java_offer rates them is a separate judgement, made when agent_java_offer is analysed in its own right.
calls agent_java_offer “Choose when you are preparing for Java backend/AI Agent interviews specifically.”
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成