--- title: "JavaGuide" type: "tool" slug: "snailclimb-javaguide" canonical_url: "https://www.graphcanon.com/tools/snailclimb-javaguide" github_url: "https://github.com/Snailclimb/JavaGuide" homepage_url: "https://javaguide.cn" stars: 156863 forks: 46163 primary_language: "JavaScript" license: "Apache-2.0" categories: ["llm-frameworks", "ai-agents", "data-retrieval"] tags: ["interview", "deepseek", "ai", "mysql", "context-engineering", "java", "agent", "mcp"] updated_at: "2026-07-07T18:04:51.743185+00:00" --- # JavaGuide > Java guide for backend interviews & AI application development covering system design, LLMs, Agents, and RAG. Comprehensive technical interview guide and AI engineering tutorial repository focusing on Java backend fundamentals, distributed systems architecture, and hands-on AI implementation patterns (SpringAI, agent workflows, RAG pipelines, MCP). ## Facts - Repository: https://github.com/Snailclimb/JavaGuide - Homepage: https://javaguide.cn - Stars: 156,863 · Forks: 46,163 · Open issues: 57 · Watchers: 4,457 - Primary language: JavaScript - License: Apache-2.0 - Last pushed: 2026-07-06T14:54:42+00:00 ## Categories - [LLM Frameworks](/categories/llm-frameworks.md) - [AI Agents](/categories/ai-agents.md) - [Data & Retrieval](/categories/data-retrieval.md) ## Tags interview, deepseek, ai, mysql, context-engineering, java, agent, mcp ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) ## README (excerpt) ```text **[English](./README_EN.md)** | **[日本語](./README_JA.md)** | **简体中文** - 推荐在线阅读（体验更好，速度更快）：[javaguide.cn](https://javaguide.cn/) - 面试突击版本（只保留重点，附带精美 PDF 下载）：[interview.javaguide.cn](https://interview.javaguide.cn/)
[GitHub](https://github.com/Snailclimb/JavaGuide) | [Gitee](https://gitee.com/SnailClimb/JavaGuide) Snailclimb%2FJavaGuide | Trendshift
> - **大模型实战项目**： [⭐AI 智能面试辅助平台 + RAG 知识库](https://javaguide.cn/zhuanlan/interview-guide.html)（基于 Spring Boot 4.0 + Java 21 + Spring AI 2.0，非常适合作为学习和简历项目，学习门槛低）。 > - **面试资料补充**： > - [《Java 面试指北》](https://javaguide.cn/zhuanlan/java-mian-shi-zhi-bei.html)：四年打磨，和 [JavaGuide 开源版](https://javaguide.cn/)的内容互补，带你从零开始系统准备面试！ > - [《后端面试高频系统设计&场景题》](https://javaguide.cn/zhuanlan/back-end-interview-high-frequency-system-design-and-scenario-questions.html)：30+ 道高频系统设计和场景面试，助你应对当下中大厂面试趋势。 > - **使用建议** ：如果你想要系统准备 Java 后端面试但又不知道如何开始的，可以参考 [Java 后端面试通关计划（后端通用）](https://javaguide.cn/interview-preparation/backend-interview-plan.html)。 > - **求个 Star**：如果觉得 JavaGuide 的内容对你有帮助的话，还请点个免费的 Star，这是对我最大的鼓励，感谢各位一起同行，共勉！传送门：[GitHub](https://github.com/Snailclimb/JavaGuide) | [Gitee](https://gitee.com/SnailClimb/JavaGuide)。 > - **转载须知**：以下所有文章如非文首说明为转载皆为 JavaGuide 原创，转载请在文首注明出处。如发现恶意抄袭/搬运，会动用法律武器维护自己的权益。让我们一起维护一个良好的技术创作环境！ ## AI 应用开发面试指南 面向后端开发者的 AI 应用开发、AI 编程实战与面试指南已开源，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。对标 JavaGuide！有帮助的话，欢迎 Star！ - **项目地址**：[https://github.com/Snailclimb/AIGuide](https://github.com/Snailclimb/AIGuide) - **在线阅读**：[https://javaguide.cn/ai/](https://javaguide.cn/ai/) ## 后端面试准备 - [⭐Java 后端面试通关计划（涵盖后端通用体系）](./docs/interview-preparation/backend-interview-plan.md) (一定要看 :+1:) - [如何高效准备 Java 面试？](./docs/interview-preparation/teach-you-how-to-prepare-for-the-interview-hand-in-hand.md) - [Java 后端面试重点总结](./docs/interview-preparation/key-points-of-interview.md) - [Java 学习路线（最新版，4w+ 字）](./docs/interview-preparation/java-roadmap.md) - [程序员简历编写指南](./docs/interview-preparation/resume-guide.md) - [项目经验指南](./docs/interview-preparation/project-experience-guide.md) - [面试太紧张怎么办？](./docs/interview-preparation/how-to-handle-interview-nerves.md) - [校招没有实习经历怎么办？实习经历怎么写？](./docs/interview-preparation/internship-experience.md) ## Java ### 基础 **知识点/面试题总结**（必看:+1:）： - [Java 基础常见知识点&面试题总结(上)](./docs/java/basis/java-basic-questions-01.md) - [Java 基础常见知识点&面试题总结(中)](./docs/java/basis/java-basic-questions-02.md) - [Java 基础常见知识点&面试题总结(下)](./docs/java/basis/java-basic-questions-03.md) **重要知识点详解**： - [为什么 Java 中只有值传递？](./docs/java/basis/why-there-only-value-passing-in-java.md) - [Java 序列化详解](./docs/java/basis/serialization.md) - [泛型&通配符详解](./docs/java/basis/generics-and-wildcards.md) - [Java 反射机制详解](./docs/java/basis/reflection.md) - [Java 代理模式详解](./docs/java/basis/proxy.md) - [BigDecimal 详解](./docs/java/basis/bigdecimal.md) - [Java 魔法类 Unsafe 详解](./docs/java/basis/unsafe.md) - [Java SPI 机制详解](./docs/java/basis/spi.md) - [Java 语法糖详解](./docs/java/basis/syntactic-sugar.md) ### 集合 **知识点/面试题总结**： - [Java 集合常见知识点&面试题总结(上)](./docs/java/collection/java-collection-questions-01.md) （必看 :+1:） - [Java 集合常见知识点&面试题总结(下)](./docs/java/collection/java-collection-questions-02.md) （必看 :+1:） - [Java 容器使用注意事项总结](./docs/java/collection/java-collection-precautions-for-use.md) **源码分析**： - [ArrayList 核心源码+扩容机制分析](./docs/java/collection/arraylist-source-code.md) - [LinkedList 核心源码分析](./docs/java/collection/linkedlist-source-code.md) - [HashMap 核心源码+底层数据结构分析](./docs/java/collection/hashmap-source-code.md) - [ConcurrentHashMap 核心源码+底层数据结构分析](./docs/java/collection/concurrent-hash-map-source-code.md) - [LinkedHashMap 核心源码分析](./docs/java/collection/linkedhashmap-source-code.md) - [CopyOnWriteArrayList 核心源码分析](./docs/java/collection/copyonwritearraylist-source-code.md) - [ArrayBlockingQueue 核心源 ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/snailclimb-javaguide`](/api/graphcanon/tools/snailclimb-javaguide) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_