base on 🧙‍AutoDev: the AI-native Multi-Agent development platform built on Kotlin Multiplatform, covering all 7 phases of SDLC. # AutoDev Xiuper > **One Platform. All Phases. Every Device.** > 统一平台·全开发阶段·跨全设备 **AutoDev Xiuper** is the AI-native Multi-Agent development platform built on Kotlin Multiplatform, covering all 7 phases of SDLC (Requirements → Development → Review → Testing → Data → Deployment → Operations) and supporting 8+ platforms (IDEA, VSCode, CLI, Web, Desktop, Android, iOS, Server).  ## 🚀 Get Started ### Download AutoDev Xiuper - **IntelliJ IDEA Plugin**: [JetBrains Marketplace](https://plugins.jetbrains.com/plugin/29223-autodev-experiment) - **VSCode Extension**: [Visual Studio Marketplace](https://marketplace.visualstudio.com/items?itemName=Phodal.autodev) - **CLI Tool**: `npm install -g @xiuper/cli` - **Web Version**: https://web.xiuper.com/ - **Desktop & Android**: [Release Pages](https://github.com/phodal/auto-dev/releases) - **iOS**: You need to build it from source code. ### Previous Versions - **AutoDev 2.0** (Stable): [Branch](https://github.com/phodal/auto-dev/tree/autodev2) | [Plugin](https://plugins.jetbrains.com/plugin/26988) ### Modules | Module | Platform | Status | Description | |----------------------|---------------------|---------------------|-------------------------------------------------------| | **mpp-idea** | IntelliJ IDEA | ✅ Production | Jewel UI, Agent toolwindow, code review, remote agent | | **mpp-vscode** | VSCode | ✅ Production | Xiuper Agent | | **mpp-ui** (Desktop) | macOS/Windows/Linux | ✅ Production | Compose Multiplatform desktop app | | **mpp-ui** (CLI) | Terminal (Node.js) | ✅ Production | Terminal UI (React/Ink), local/server mode | | **mpp-ui** (Android) | Android | ✅ Production | Native Android app | | **mpp-web** (Web) | Web | ✅ Production | Web app | | **mpp-server** | Server | ✅ Production | JVM (Ktor) | | **mpp-ios** | iOS | 🚧 Production Ready | Native iOS app (SwiftUI + Compose) | ### 🌟 Key Features **Xiuper Edition** represents a major milestone in AI-powered development: - **One Platform**: Unified Kotlin Multiplatform architecture - write once, deploy everywhere - **All Phases**: 7 specialized agents covering complete software development lifecycle - Requirements → Development → Review → Testing → Data → Deployment → Operations - **Every Device**: Native support for 8+ platforms with zero compromise on performance - IDE: IntelliJ IDEA, VSCode - Desktop: macOS, Windows, Linux (Compose Multiplatform) - Mobile: Android, iOS (Native + Compose) - Terminal: CLI (Node.js with React/Ink) - Web: Modern web app - Server: Remote agent server (Ktor) - **Multi-LLM Support**: OpenAI, Anthropic, Google, DeepSeek, Ollama, and more - **DevIns Language**: Executable AI Agent scripting language for workflow automation - **MCP Protocol**: Extensible tool ecosystem via Model Context Protocol - **Code Intelligence**: TreeSitter-based parsing for Java, Kotlin, Python, JS, TS, Go, Rust, C# - **Global Ready**: Full internationalization (Chinese/English) ## 🤖 Builtin Agents AutoDev Xiuper includes 7 specialized AI agents mapped to the complete Software Development Lifecycle (SDLC): | Agent | SDLC Phase | Description | Capabilities | Status | |---------------|--------------|----------------------------------------------------------------------------------------------------|-----------------------------------|-----------| | **Knowledge** | Requirements | Requirements understanding and knowledge construction with AI-native document reading and analysis | DocQL / Context Engineering | ✅ Stable | | **Coding** | Development | Autonomous coding agent with complete file system, shell, and tool access capabilities | MCP / SubAgents / DevIns DSL | ✅ Stable | | **Review** | Code Review | Professional code review analyzing code quality, security, performance, and best practices | Linter / Summary / AutoFix | ✅ Stable | | **Testing** | Testing | Automated testing agent that generates test cases, executes tests, and analyzes coverage | E2E / Self-healing / Coverage | 🚧 WIP | | **ChatDB** | Data | Database conversation agent supporting Text-to-SQL and natural language data queries | Schema Linking / Multi-DB / Query | ✅ Stable | | **WebEdit** | Deployment | Web editing agent for browsing pages, selecting DOM elements, and interacting with web content | Inspect / Chat / Mapping | 🔄 Beta | | **Ops** | Operations | Operations monitoring agent for log analysis, performance monitoring, and alert handling | Logs / Metrics / Alerts | 🚧 Coming | Each agent is designed to handle specific phases of the development lifecycle, providing comprehensive AI assistance from requirements gathering to production operations. ### Special-Purpose Agents In addition to SDLC agents, AutoDev Xiuper includes specialized agents for specific use cases: | Agent | Purpose | Description | Capabilities | Status | |--------------|-------------|----------------------------------------------------------------------------------------------------------------|-------------------------------------------------------|----------| | **Artifact** | Quick Demos | Generate self-contained, executable artifacts (HTML/JS, React, Node.js, Python) inspired by Claude's Artifacts | Interactive preview / Auto-fix / Multi-format support | ✅ Stable | **Artifact Agent** focuses on creating complete, runnable artifacts without file system or shell access. Perfect for: - Quick prototyping and demos - Interactive web applications - Data visualizations - Python scripts with dependencies - SVG graphics and Mermaid diagrams ### SubAgents SubAgents are specialized micro-agents that can be invoked by the main Coding Agent to handle specific tasks. They follow the "Agent as Tool" architecture pattern: | SubAgent | Purpose | Key Features | Platform Support | |---------------------------|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------|-----------------------| | **NanoDSL Agent** | Generate AI-native UI code from natural language descriptions | Token-efficient DSL / Component generation / State management / HTTP requests | All platforms | | **PlotDSL Agent** | Generate statistical charts and data visualizations from natural language | ggplot2-inspired syntax / Multiple chart types / Themes / Lets-Plot rendering | JVM Desktop & Android | | **Chart Agent** | Generate chart configurations for ComposeCharts library | Pie/Line/Column/Row charts / Data analysis / Cross-platform rendering | All platforms | | **Analysis Agent** | Intelligently analyze and summarize any type of content (logs, errors, JSON, code, etc.) | Content type detection / Smart summarization / Metadata extraction | All platforms | | **Codebase Investigator** | Investigate codebase structure, patterns, dependencies, and architectural issues | Architecture analysis / Pattern detection / Dependency mapping / Issue identification | All platforms | | **Domain Dict Agent** | Generate domain dictionaries from codebase analysis for better context understanding | Hot file detection / Class/method extraction / Domain term identification | All platforms | | **Error Recovery Agent** | Analyze errors and suggest fixes with self-healing capabilities | Error pattern recognition / Fix suggestion / Auto-retry logic | All platforms | | **SQL Revise Agent** | Revise and optimize SQL queries based on schema and execution feedback | Schema-aware correction / Query optimization / Syntax validation | All platforms | | **E2E Testing Agent** | Perform end-to-end testing with visual understanding and self-healing locators | Natural language test scenario generation / Multi-modal perception / Self-healing | All platforms | SubAgents enable modular, composable AI workflows where complex tasks are broken down into specialized sub-tasks, each handled by an expert agent. ## License This code is distributed under the MPL 2.0 license. See `LICENSE` in this directory. ", Assign "at most 3 tags" to the expected json: {"id":"8749","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"