Sourcify
Effortlessly find and manage open-source dependencies for your projects.

The high-performance AI coding assistant designed for large-scale enterprise codebases.

Augment is a vertically integrated AI coding platform engineered to address the limitations of generic LLMs in complex software environments. Built by experts from Google, Microsoft, and VMware, Augment utilizes a proprietary inference engine and advanced Retrieval-Augmented Generation (RAG) to index entire enterprise-scale repositories. This enables the assistant to provide code completions, refactors, and explanations that are strictly grounded in a company's unique internal libraries and architectural patterns. By 2026, Augment has positioned itself as the premier alternative to GitHub Copilot for organizations prioritizing data sovereignty and low-latency performance. Its technical stack focuses on 'Deep Context,' moving beyond simple file-level analysis to understand cross-service dependencies and semantic relationships. The platform is designed to operate seamlessly within popular IDEs while providing enterprise-grade security features, including SOC2 Type II compliance and robust data isolation protocols, ensuring that sensitive intellectual property is never leaked or used for training public models.
Augment is a vertically integrated AI coding platform engineered to address the limitations of generic LLMs in complex software environments.
Explore all tools that specialize in refactor legacy code. This domain focus ensures Augment delivers optimized results for this specific requirement.
Explore all tools that specialize in context-aware completion. This domain focus ensures Augment delivers optimized results for this specific requirement.
Proprietary vector indexing that maps dependencies across thousands of files simultaneously.
Custom inference engine optimized for NVIDIA H100/A100 clusters to provide sub-100ms response times.
Natural language querying of code intent rather than just keyword matching.
Configurable data exclusion zones and guaranteed non-training on customer data.
Automatically switches between small, fast models for completion and large models for complex refactors.
Generates tests that mock internal dependencies discovered during indexing.
Centralized index that shares learned patterns across all developers in an organization.
Download the Augment extension for VS Code or JetBrains IDE.
Authenticate using your GitHub, GitLab, or SSO enterprise credentials.
Grant read access to the local or remote repositories you wish to index.
Wait for the initial indexing process (Augment builds a local vector embedding of your codebase).
Configure project-specific rules in the .augmentrc file if necessary.
Open a source file to trigger the first context-aware completion.
Use the 'Augment: Search' command to perform semantic queries across the codebase.
Invite team members to the workspace via the administrative dashboard.
Enable telemetry for performance tracking or disable for maximum privacy.
Review and merge AI-generated suggestions via standard Git workflows.
All Set
Ready to go
Verified feedback from other users.
"Users consistently praise the speed and the 'depth' of its suggestions compared to Copilot, particularly in private codebases."
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Effortlessly find and manage open-source dependencies for your projects.

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