ATONIS
Enterprise AI Development Platform for Professional Software Teams

ATONIS is an enterprise-grade AI development platform that transforms software development through autonomous coding capabilities, advanced context management, and enterprise-level security. Built for professional development teams requiring scalable, secure, and auditable AI-assisted coding solutions.

Enterprise Value Proposition
Autonomous Development Capabilities
- Intelligent Code Generation: Advanced AI models create production-ready code with enterprise coding standards
- Contextual Understanding: Deep project analysis and codebase comprehension for accurate, relevant modifications
- Multi-Language Support: Full-stack development across all major programming languages and frameworks
- Quality Assurance: Built-in code review, testing, and compliance validation
Enterprise Security & Compliance
- Privacy-First Architecture: Granular privacy controls with local-only processing options
- Audit Trail Management: Comprehensive logging and activity tracking for enterprise compliance
- Access Control Integration: Role-based permissions and enterprise authentication systems
- Data Governance: Configurable data retention and processing policies
- Auto-Compact Context Management: Intelligent context optimization for large-scale codebases
- Performance Monitoring: Real-time metrics and optimization recommendations
- Resource Management: Efficient token usage and cost optimization for enterprise budgets
- High Availability: Enterprise-grade reliability and uptime guarantees
Core Capabilities
Intelligent Development Workflow
1. Project Analysis & Planning
- Comprehensive codebase analysis and architecture understanding
- Dependency mapping and impact assessment
- Technical debt identification and remediation planning
- Performance bottleneck analysis and optimization recommendations
2. Autonomous Code Development
- File creation, modification, and refactoring with diff review
- Terminal integration for build processes and testing workflows
- Browser automation for web application testing and validation
- Real-time error detection and automated resolution
3. Quality Assurance Integration
- Automated code review and style compliance
- Unit test generation and execution
- Security vulnerability scanning and remediation
- Documentation generation and maintenance
4. Enterprise Extensibility
- Model Context Protocol (MCP) integration for custom tooling
- API integration capabilities for enterprise systems
- Custom workflow automation and process integration
- Third-party tool ecosystem connectivity
Getting Started
Installation
From VS Code Marketplace
- Open Visual Studio Code
- Go to the Extensions view (
Ctrl+Shift+X
or Cmd+Shift+X
)
- Search for "ATONIS"
- Click "Install" on the ATONIS extension by Ness Engineering
Alternative Installation Methods
- Command Line:
code --install-extension ness-engineering.atonis
- VSIX Package: Download from GitHub releases and install manually
System Requirements
- Visual Studio Code 1.84.0 or higher
- Node.js 16+ (for extension functionality)
- Internet connection (for AI model access)
- Minimum 8GB RAM recommended
Quick Start
1. Launch ATONIS
- Keyboard Shortcut:
Ctrl+'
(Windows/Linux) or Cmd+'
(Mac)
- Command Palette:
Ctrl+Shift+P
→ "ATONIS: Open In New Tab"
- Activity Bar: Click the ATONIS icon in the sidebar
- Click the settings gear icon in ATONIS interface
- Choose your preferred AI model provider:
- Anthropic Claude (recommended)
- OpenAI GPT Models
- Google Gemini
- Azure OpenAI
- Custom/Local Models
- Enter your API credentials
3. Start Coding
- Open your project in VS Code
- Select code and press
Ctrl+'
(or Cmd+'
) to add to ATONIS
- Describe what you want to build or modify
- Review and approve ATONIS's plan
- Watch as it implements your requirements
Features

✨ Autonomous Development
- Smart Code Generation: Creates production-ready code following your project's patterns
- Context-Aware Modifications: Understands your entire codebase for accurate changes
- Multi-File Operations: Seamlessly works across multiple files and directories
- Error Detection & Fixing: Automatically identifies and resolves coding issues
🛡️ Enterprise Security
- Privacy-First Design: Granular privacy controls with local-only processing options
- Audit Trail: Comprehensive logging for enterprise compliance
- Access Control: Role-based permissions and enterprise authentication
- Data Governance: Configurable data retention and processing policies
⚡ Smart Context Management
- Auto-Compact Context: Intelligent context optimization for large codebases
- Performance Monitoring: Real-time metrics and optimization recommendations
- Token Efficiency: Smart resource management to minimize costs
- Large Project Support: Handles enterprise-scale codebases effortlessly
🔧 Developer Experience
- Terminal Integration: Execute commands and see results directly in the interface
- Browser Automation: Test and interact with web applications
- Git Workflow: Intelligent commit message generation and version control
- Multi-Language Support: Works with all major programming languages and frameworks
🚀 AI Model Ecosystem
- Multi-Provider Support: Anthropic Claude, OpenAI, Google Gemini, Azure OpenAI
- Model Switching: Easily switch between different AI models
- Cost Optimization: Choose the right model for each task
- Custom Models: Support for fine-tuned and local models
Basic Usage
Starting a Development Task
- Open your project workspace in VS Code
- Launch ATONIS using
Ctrl/Cmd + Shift + P
→ "ATONIS: Open In New Tab"
- Describe your development objective in natural language
- ATONIS will analyze your codebase and propose an implementation plan
- Review and approve each step before execution
Context Management
- @file: Include specific files in your request context
- @folder: Add entire directories for comprehensive analysis
- @problems: Include current workspace errors and warnings
- @url: Fetch external documentation or specifications
Advanced Workflows
- Code Refactoring: "Refactor the authentication module to use OAuth 2.0"
- Feature Implementation: "Implement user role management with database schema"
- Bug Resolution: "Analyze and fix the memory leak in the data processing pipeline"
- Documentation: "Generate comprehensive API documentation for the user service"
Enterprise Features
AI Model Ecosystem
- Multi-Provider Support: Anthropic Claude, OpenAI GPT, Google Gemini, Azure OpenAI
- Custom Model Integration: Support for proprietary and fine-tuned models
- Cost Optimization: Intelligent model selection based on task complexity
- Usage Analytics: Comprehensive reporting on model usage and costs
Security & Compliance
- Data Privacy Controls: Configurable data processing and retention policies
- Audit Logging: Complete activity tracking for compliance requirements
- Access Management: Integration with enterprise identity providers
- Secure Communications: End-to-end encryption for all API communications
- Real-Time Metrics: Performance monitoring and optimization insights
- Usage Analytics: Detailed reporting on development productivity gains
- Resource Management: Token usage optimization and budget controls
- Health Monitoring: System performance and availability tracking
Integration Capabilities
- CI/CD Integration: Seamless workflow integration with existing DevOps pipelines
- Version Control: Advanced Git workflow management and automation
- Testing Frameworks: Integration with enterprise testing and QA processes
- Documentation Systems: Automated documentation generation and maintenance
Advanced Configuration
Enterprise Deployment
ATONIS supports enterprise deployment scenarios including:
- On-Premises Installation: Full local deployment for maximum security
- Hybrid Cloud Configuration: Flexible cloud and on-premises integration
- Multi-Tenant Architecture: Scalable deployment for large organizations
- High Availability Setup: Redundant configuration for mission-critical environments
Customization & Extensions
- Custom Tool Development: Create organization-specific development tools
- Workflow Automation: Implement custom business logic and processes
- API Integration: Connect to enterprise systems and databases
- Compliance Frameworks: Configure for industry-specific requirements
- Context Window Management: Intelligent context compression for large projects
- Parallel Processing: Multi-threaded operations for complex tasks
- Caching Strategies: Optimized response times for repetitive operations
- Resource Allocation: Dynamic scaling based on workload requirements
Support & Training
Enterprise Support
- Dedicated Support Team: 24/7 technical assistance for enterprise customers
- Implementation Services: Professional deployment and configuration assistance
- Training Programs: Comprehensive developer and administrator training
- Success Management: Ongoing optimization and best practice guidance
Documentation & Resources
- Technical Documentation: Comprehensive guides and API references
- Best Practices: Enterprise implementation patterns and recommendations
- Training Materials: Interactive tutorials and certification programs
- Community Resources: Knowledge base and developer forums
Compliance & Security
ATONIS meets enterprise security and compliance requirements:
- SOC 2 Type II: Security operations compliance
- GDPR Compliance: European data protection standards
- HIPAA Compatible: Healthcare industry requirements
- ISO 27001: Information security management standards
Enterprise Licensing: Contact our enterprise sales team for volume licensing and custom deployment options.
Website: www.ness.com
License: Apache 2.0 © 2025 ATONIS Inc.
Extension Settings
ATONIS contributes the following settings to VS Code:
atonis.apiProvider
: Select your preferred AI model provider
atonis.privacyLevel
: Configure data collection and processing preferences
atonis.contextManagement
: Enable/disable auto-compact context management
atonis.performanceMonitoring
: Control performance metrics collection
atonis.auditLogging
: Enable enterprise audit trail logging
Known Issues
- Large File Performance: Processing files >10MB may experience slower response times
- Network Connectivity: Requires stable internet connection for optimal AI model access
- Memory Usage: Large codebases may require increased VS Code memory allocation
- Model Switching: Brief delay when switching between different AI providers
Report issues at: GitHub Issues
Release Notes
3.26.5
Enhanced Features:
- ✨ Auto-Compact Context Management for large codebases
- 🛡️ Privacy-First Telemetry with granular controls
- ⚡ Performance Monitoring and optimization
- 📊 Metrics Collection and analysis capabilities
- 🔧 Enhanced Code Quality Tooling with Biome integration
Improvements:
- Better token usage optimization
- Improved error handling and user feedback
- Enhanced security controls and audit logging
- Streamlined user interface and experience
Bug Fixes:
- Fixed memory leaks in context management
- Resolved authentication timeout issues
- Improved file handling for large projects
- Enhanced browser automation stability
Privacy & Security
ATONIS prioritizes user privacy and enterprise security:
- Granular Privacy Controls: Choose exactly what data to share
- Local Processing Options: Run AI operations locally when possible
- Enterprise Compliance: SOC 2, GDPR, HIPAA compatible
- Audit Trail: Comprehensive logging for enterprise requirements
- Secure Communications: End-to-end encryption for all API calls
Support & Feedback
License
ATONIS is licensed under the Apache License 2.0, allowing commercial use, modification, and distribution.
Attribution
- Based on: Cline - Open source autonomous coding agent
- Enhanced by: Ness Engineering with enterprise features and capabilities
- License: Apache License 2.0 for entire codebase
See NOTICE for complete attribution and licensing details.
Commercial Use
✅ Apache 2.0 Licensed: Free for commercial use and modification
✅ Enterprise Support: Available for commercial customers
✅ Advanced Features: Context management, privacy controls, performance monitoring
✅ Professional Services: Implementation assistance and training available
ATONIS is designed for professional development teams requiring advanced AI assistance with enterprise-grade security, compliance, and performance standards. Built on the open-source Cline foundation with enterprise enhancements.