Artemis Documentation
Artemis is an AI-powered code intelligence platform that helps you build, analyze, and optimize code through intelligent automation and multi-agent development workflows.
Core Capabilities
Plan & Build
AI-powered code generation from natural language with multi-agent development and context-aware suggestions. Use this for feature development, API creation, and rapid prototyping.
Scan & Fix
Automated code analysis, security detection, and quality assessment with customizable rule sets and automated reviews.
Optimize & Enhance
Performance bottleneck detection with AI-powered optimization, validation through real execution metrics, and regression-safe improvements.
VS Code Extension
Use Artemis Navigator, the official VS Code extension, to plan tasks and track their sync status with both the web platform and your Git repository. It provides structured planning inside your IDE without the guesswork of generic AI tools.
Learn more about VS Code Extension →
Understanding Key Concepts
New to Artemis? These guides will help you understand the platform:
- Quick Overview - Understand the complete Artemis workflow
- Account Setup - Create and configure your account
- Import Your Codebase - Connect your repositories and projects
- Git Keys Setup - Configure Git access for private repositories
Common Workflows
Code Optimization
Learn how to identify performance bottlenecks, generate optimized versions, and validate improvements:
- Code Targeting Methods - Find areas to optimize
- Version Generation - Generate improved code
- Code Validation - Test and measure results
AI-Assisted Development
Use Artemis Intelligence and agents to enhance your development workflow:
- Artemis Intelligence - Metric-driven AI code generation
- Plan Mode - Structured development strategies
- Standalone Tasks - Direct code updates and changes
- Chat Mode - Conversational coding assistance
Code Quality & Security
Automate code auditing and maintain high quality standards:
- Scan Overview - Automated code analysis
- Custom Rules - Define your quality standards
- Issue Management - Track and fix detected problems
Advanced Features
- Artemis Custom Runner - Run builds and tests locally in isolated environments
- Changesets - Automated workflows with Git integration
- SourceKon - Import profiling data from external tools
- Code Indexing - Enable semantic code search and context-aware AI
- VSCode Extension - Integrate Artemis Planner into your IDE
Deployment & Architecture
- Deployment Options - Choose between SaaS and on-premise
- Architecture Overview - Understand how Artemis works
- LLM Usage - Learn about AI model integration
- Licensing - Review licensing options
Need Help?
- Frequently Asked Questions
- Release Notes
- Email support: support@turintech.ai