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 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).
- IntelliJ IDEA Plugin: JetBrains Marketplace
- VSCode Extension: Visual Studio Marketplace
- CLI Tool:
npm install -g @xiuper/cli - Web Version: https://web.xiuper.com/
- Desktop & Android: Release Pages
| 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) |
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)
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 | 🚧 Coming |
| 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.
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 |
SubAgents enable modular, composable AI workflows where complex tasks are broken down into specialized sub-tasks, each handled by an expert agent.
This code is distributed under the MPL 2.0 license. See LICENSE in this directory.