Augment Code
Enterprise AI coding with a 400K+ file Context Engine for multi-repo codebases.
Executive Summary
Enterprise AI coding with a 400K+ file Context Engine for multi-repo codebases.
Use Cases
- Automated Code Review
- AI-driven Test Coverage Generation
- Incident Management Automation
- Ticket-to-PR Workflow Automation
- Spec-Driven AI Code Generation
Features
Visibility
- Codebase Context Visualization: The Context Engine maps your codebase by structure, providing a clear understanding of how different parts connect.
- Activity & Usage Tracking: Track daily active users, usage patterns, and detailed activity metrics for AI integrations.
Intelligence
- Agentic Software Development: Enables AI agents to perform complex development tasks at organizational scale.
- Context-Aware Code Generation: Gives agents only the slice of context the task touches for lower token cost and more relevant code generation.
- Automated Code Review & Test Coverage: AI-driven solutions for enhancing code quality and ensuring comprehensive test coverage.
Technical Specifications
- Architecture
- Agentic software development with multi-agent systems, leveraging a Context Engine for codebase mapping, deployed as a managed SaaS.
- Deployment
- SaaS
- API Available
- Yes
- MCP Server
- Yes
Integrations
- GitHub
- Linear
- Jira
- Confluence
- Notion
- Sentry
- Stripe
Security & Compliance
Certifications: SOC 2 Type II, ISO/IEC 42001
Pricing
- Model
- Usage-based (user messages or tokens/credits), with tiered plans.
- Starting Price
- $20/month (Indie plan)
- Target Customer
- Individual Developers,Teams,Enterprise
- Contract Type
- Monthly (for Indie/Standard plans)
- Free Trial
- Yes
About Augment Code
Augment Code provides enterprise AI coding assistants featuring autonomous agents that execute complete development workflows. Its platform delivers system-level context understanding by analyzing entire codebases using a semantic dependency graph across 400,000+ files.