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ai-code-helper

2025 年 AI 编程助手实战项目(作者:程序员鱼皮),基于 Spring Boot 3.5 + Java 21 + LangChain4j + AI 构建智能编程学习与求职辅导机器人,覆盖 AI 大模型接入、LangChain4j 核心特性、流式对话、Prompt 工程、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、Web 爬虫、安全防护、Vue.js 前端开发、SSE 服务端推送等企业级 AI 应用开发技术。帮助开发者掌握 AI 时代必备技能,熟悉 LangChain 框架,提升编程学习效率和求职竞争力,成为企业需要的 AI 全栈开发人才。

mcp
01

At a glance.

A compact read before the deeper capability notes and official setup links.

Fit snapshot
Format WORKFLOW
Category mcp
Review official docs
02

Core features.

Feature cards focus on what the tool helps users do, not generated setup commands.

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2025 年 AI 编程助手实战项目(作者:程序员鱼皮),基于 Spring Boot 3.5 + Java 21 + LangChain4j + AI 构建智能编程学习与求职辅导机器人,覆盖 AI 大模型接入、LangChain4j 核心特性、流式对话、Prompt 工程、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、Web 爬虫、安全防护、Vue.j

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Topics: ai, ai-model, backend, frontend, java

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GitHub stars: 701

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Last pushed: 2025-07-10

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Agent / Skill / MCP / Workflow fit.

This panel keeps technical format separate from the user-facing AI category.

Tool type WORKFLOW
Use categories mcp
Works with Review official docs
05

Official setup path.

Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.

06

Evidence and adoption notes.

These notes help a user decide whether to investigate the official project further.

Source repository last pushed at 2025-07-10T11:32:26Z.

Generated from source metadata; confirm operational details in the official project before adopting it.

Review the upstream license, maintenance activity, and issue history before using it in production.

Trusted source

Trace the origin before adopting.