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

Scalable Performance

• 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

1. Open Visual Studio Code
2. Go to the Extensions view (Ctrl+Shift+X or Cmd+Shift+X)
3. Search for "ATONIS"
4. Click "Install" on the ATONIS extension by Ness Digital Engineering

Alternative Installation Methods

• Command Line: code --install-extension NessDigitalEngineering.atonis
• VSIX Package: Download from 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

2. Configure AI Provider

1. Click the settings gear icon in ATONIS interface
2. Choose your preferred AI model provider:
   • ATONIS Account (recommended — managed access with enterprise billing)
   • Anthropic Claude
   • OpenAI GPT Models
   • Google Gemini
   • AWS Bedrock
   • Azure OpenAI
   • Custom/Local Models
3. Enter your API credentials

3. Start Coding

1. Open your project in VS Code
2. Select code and press Ctrl+' (or Cmd+') to add to ATONIS
3. Describe what you want to build or modify
4. Review and approve ATONIS's plan
5. 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
• Dynamic Context Routing: Automatically switches between 200K and 1M context windows based on conversation size
• 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 integration
• Multi-Language Support: Works with all major programming languages and frameworks
• Jupyter Notebook Support: Full cell-level AI-assisted editing for .ipynb files
• Voice Mode: Hands-free coding with speech-to-text integration (experimental)
• YOLO Mode: Fully autonomous execution mode for trusted automation workflows

🤖 Native Tool Calling

• Parallel Tool Use: Execute multiple tools simultaneously for faster task completion
• Native API Integration: Direct tool calling for Anthropic, OpenAI, and Gemini providers
• Responses API Support: Full OpenAI Responses API integration for GPT-5+ models
• Background Edits: Edit files in the background without opening the diff view (experimental)

🚀 AI Model Ecosystem

• Multi-Provider Support: Anthropic Claude, OpenAI GPT-5+, Google Gemini 3, AWS Bedrock, Azure OpenAI, and 20+ more
• Model Switching: Easily switch between different AI models with tabbed model picker
• Cost Optimization: Dynamic model selection based on task complexity and context size
• Reasoning Models: Extended thinking and reasoning budget controls for Claude and Gemini models
• ChatGPT Subscription Support: Use GPT-5 and Codex models via ChatGPT Plus/Pro subscription

📋 Focus Chain & Planning

• Focus Chain: Automatically creates and maintains todo lists, tracking real-time progress
• Deep Planning: Structured 4-step planning with /deep-planning slash command
• Explain Changes: AI-powered diff explanation for code review and onboarding

🔌 MCP & Integrations

• Native MCP Servers: Bundled fetch, sequential thinking, and memory (knowledge graph) servers
• MCP Marketplace: Discover and install community MCP servers
• Remote MCP Config: Centralized enterprise MCP server management
• Hooks System: Inject custom logic at any point in the workflow (Pre/Post tool use)
• Skills System: Reusable, on-demand agent instruction sets for repeated workflows
• Subagent Support: Delegate specialized tasks to focused AI agents

Basic Usage

Starting a Development Task

1. Open your project workspace in VS Code
2. Launch ATONIS using Ctrl/Cmd + Shift + P → "ATONIS: Open In New Tab"
3. Describe your development objective in natural language
4. ATONIS will analyze your codebase and propose an implementation plan
5. 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-5+, Google Gemini 3, AWS Bedrock, 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

Performance & Monitoring

• 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 via MCP
• Workflow Automation: Implement custom business logic with the Hooks system
• API Integration: Connect to enterprise systems and databases
• Compliance Frameworks: Configure for industry-specific requirements

Performance Optimization

• Context Window Management: Intelligent context compression for large projects
• Parallel Tool Calling: 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

Contact & Licensing

Enterprise Licensing: Contact our enterprise sales team for volume licensing and custom deployment options.

Website: www.ness.com

License: Apache 2.0 © 2026 Ness Digital Engineering

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
• atonis.multiRootEnabled: Enable multi-root workspace support

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: Ness Digital Engineering Support

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

• Documentation: docs.ness.com/atonis
• Issue Reports: Ness Digital Engineering Support
• Enterprise Support: Contact Sales

Enterprise

Get the same ATONIS experience with enterprise-grade controls: SSO (SAML/OIDC), global policies and configuration, observability with audit trails, private networking (VPC/private link), and self-hosted or on-prem deployments, and enterprise support. Contact us to learn more.

License

ATONIS is licensed under the Apache License 2.0, allowing commercial use, modification, and distribution.

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.