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Augment Code

Verified

Enterprise coding agent with deep codebase indexing and repo-wide context

Coding Agents From Contact/mo

Released

2024

Country

United States

API

Available

Self-Host

No

Funding

Series B

Last Updated

2026-06

About Augment Code

Augment Code is an enterprise-focused coding agent that sets itself apart with deep codebase indexing — it does not just look at open files but builds a searchable index of your entire repository. This Context Engine lets the AI understand relationships across the full codebase when generating completions, answering questions, or executing multi-file refactors. It operates as an extension for VS Code and JetBrains, so it fits into existing developer workflows without switching editors. The agent can handle large-scale refactors that touch many files, leverage RAG-based context retrieval to find relevant code patterns, and includes team collaboration features for shared knowledge. Enterprise-grade security with SOC2 compliance makes it suitable for organizations with strict compliance requirements. Augment Code's strength is in monorepo and large-codebase environments where the quality of context retrieval directly determines the quality of AI output. As a newer product, it is still maturing its feature set and polish.

Verdict

The enterprise codebase-indexing champion — if your team works on large monorepos and needs AI that understands the full repository, not just the file in front of you, Augment Code delivers. Its Context Engine is the most thorough codebase awareness among IDE extensions. The paid-only model limits accessibility, but for enterprises where codebase context quality directly impacts AI output quality, it justifies the cost.

Features

Deep codebase Context Engine (full repo indexing)
Autonomous multi-file agent for large refactors
AI completion with repo-wide awareness
RAG-based smart context retrieval
VS Code and JetBrains integration
Enterprise security and SOC2 compliance
Team collaboration and shared context

Detailed Ratings

Ease of Use
8.5
Value for Money
8.0
Features
9.0
Support
8.5
Performance
9.0
Overall Rating
8.6 /10

Pros & Cons

Pros

  • Best-in-class codebase indexing — understands your whole repo, not just open tabs
  • Handles large-scale refactors across monorepos with repo-wide context
  • Enterprise-ready with SOC2 compliance and security controls
  • Works inside VS Code and JetBrains — no editor migration required
  • RAG-based retrieval finds relevant patterns across large codebases efficiently

Cons

  • Paid only — no free tier or open-source option
  • Enterprise-focused pricing can be a barrier for individual developers and small teams
  • Newer product — feature set and polish still maturing compared to established competitors

Use Cases

Large monorepo development where repo-wide context improves AI accuracyEnterprise teams needing SOC2-compliant AI coding toolsCross-file refactors that require understanding of codebase-wide dependenciesOrganizations standardizing on VS Code or JetBrains with AI assistance

Who Is It For?

Enterprise teams and developers working on large codebases and monorepos who need repo-wide AI context with enterprise security compliance

#ide-extension#codebase-indexing#enterprise#rag#vscode#jetbrains

Pricing Plans

Team

Contact /user/month
  • VS Code and JetBrains extensions
  • Codebase Context Engine
  • Team collaboration features

Enterprise

Contact /user/month
  • SOC2 compliance and security controls
  • Custom Context Engine configuration
  • Dedicated support and onboarding

Frequently Asked Questions

How is Augment Code different from GitHub Copilot?

Augment Code indexes your entire codebase to provide deeper context than Copilot's open-file approach. This makes a significant difference on large monorepos where relevant code lives far from the file being edited. Copilot has broader IDE support and a lower price point; Augment Code is stronger on codebase-wide intelligence.

What is the Context Engine?

Augment Code's Context Engine builds a searchable index of your entire repository. When the AI generates completions or plans edits, it retrieves relevant code from across the repo using RAG — not just the files you have open. This means more accurate suggestions that account for dependencies, patterns, and conventions in your codebase.

Is there a free tier?

No. Augment Code is a paid product with enterprise-focused pricing. Contact their sales team for team and individual plans.

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AR Reviewed by AgentRadar · Reviewed on · How we rate

Profiles are AI-assisted from public information — not independently hands-on tested.