GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Decision-critical facts for `ai-code-helper` extracted from repository data.
Good fit when
- - When you want a comprehensive tool that integrates multiple AI technologies such as LangChain4j and large language models into Spring Boot applications.
- - If your project specifically requires leveraging Vue.js frontend development alongside robust backend components like Java 21, Spring Boot 3.5, and advanced RAG retrieval techniques.
Avoid when
- - Avoid using `ai-code-helper` if your team is not adept with Java or doesn't prefer the LangChain4j framework for integrating AI capabilities into applications.
- - If real-time data streaming through Server-Sent Events (SSE) and specific enterprise-grade features such as MCP model context protocols are not a priority in your project.
- Requirements:
- Min 8 GB RAM; Requires Docker; Requires Java 21 and Spring Boot for backend.; Integration with Vue.js requires familiarity with frontend frameworks.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (436d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No MCP manifest
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/liyupi/ai-code-helperSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
基于Spring Boot、Java和LangChain4j构建的智能编程辅助工具，包括流式对话、Prompt工程、RAG检索增强及向量数据库等技术。
Capability facts
- Languages
- vue
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
- **Node.js**: 16.0+Source link
Source: README excerpt (regex_v1, Sep 20, 2026)
│ - Markdown │ │ - SSE 推送 │Source link
Tags
README
🤖 AI 编程小助手 LangChain4j 实战项目 基于 LangChain4j + 通义千问的 AI 智能编程学习与求职辅导机器人 大家好，我是程序员鱼皮。现在 AI 应用开发可以说是程序员必备的技能了，求职时能够大幅增加竞争力。之前我用 Spring AI 带大家做过一个 开源的 AI 超级智能体项目，这次我来带大家快速掌握另一个主流的 Java AI 应用开发框架 LangChain4j。 这个教程项目也是我精心设计，拒绝枯燥的理论，而是用一个编程小助手项目带大家在实战中依次学习 LangChain4j 的主流用法。看完这个教程，你不仅学会了...
For agents
This page has a .md twin and JSON over the API.