A revolutionary cross-platform IDE designed for context engineers to develop software, research, reports, documents, workflows, operations, and monitoring through AI-powered assistance.
Engineer IDE represents a paradigm shift in software development. Instead of traditional coding, context engineers focus on high-level oversight and strategic direction while AI agents handle the implementation details. This approach allows engineers to concentrate on understanding business requirements, system architecture, and guiding development direction rather than writing code line by line.
- .NET MAUI Blazor Hybrid: Cross-platform foundation supporting Windows, macOS, iOS, and Android
- Blazor Components: Rich, interactive UI with web technologies in native shell
- AI Agent Integration: Flexible support for multiple AI providers (OpenAI, Anthropic, local models)
- Plugin System: Extensible architecture for custom workflows and integrations
Context Engineer Role
- Define system requirements and architecture
- Provide strategic guidance and business logic
- Review and approve AI-generated implementations
- Focus on problem-solving rather than syntax
AI Agent Layer
- Multiple AI provider support (GPT, Claude, local LLMs)
- Intelligent code generation and refactoring
- Automated testing and documentation
- Context-aware development assistance
Workflow Engine
- Declarative development workflows
- Automated task orchestration
- Progress tracking and quality gates
- Integration with development tools
- .NET 8.0 or later
- Visual Studio 2022 or JetBrains Rider
- AI API keys (optional for local models)
git clone https://github.com/wangkanai/engineer.git
cd engineer
dotnet restore
dotnet buildcd src/Engineer.UI
dotnet runengineer/
โโโ src/
โ โโโ Engineer.Core/ # Core business logic and abstractions
โ โโโ Engineer.AI/ # AI agent interfaces and implementations
โ โโโ Engineer.UI/ # MAUI Blazor hybrid UI components
โ โโโ Engineer.Platforms/ # Platform-specific implementations
โ โโโ Engineer.Plugins/ # Extensible plugin system
โโโ docs/ # Documentation and architecture guides
โโโ samples/ # Example projects and workflows
โโโ tests/ # Unit and integration tests
โโโ tools/ # Development and build tools
- Context-Driven Development: Focus on requirements and architecture rather than implementation
- Multi-AI Support: Integrate with various AI providers or run local models
- Cross-Platform: Native performance on Windows, macOS, iOS, and Android
- Workflow Automation: Define and execute complex development workflows
- Intelligent Assistance: AI-powered code generation, refactoring, and optimization
- Plugin Ecosystem: Extensible architecture for custom tools and integrations
- Architecture Overview
- Getting Started Guide
- AI Integration Guide
- Plugin Development
- Workflow Configuration
We welcome contributions! Please see our Contributing Guide for details.
This project is licensed under the MIT License - see the LICENSE file for details.
- Core AI agent framework
- Basic UI with MAUI Blazor
- Multi-provider AI integration
- Workflow engine implementation
- Plugin system architecture
- Cross-platform deployment
- Documentation and samples
Engineer IDE - Empowering context engineers to build the future through AI collaboration.