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Augment Code Review

An AI-powered platform for agentic software development at organizational scale, designed to boost engineering throughput and reduce merge times.

shipped Jul 5, 2026aipaid
ai
Augment Code — product screenshot

Why it matters

1Achieves a 66% reduction in time to merge for enterprise development teams.
2Increases engineering throughput by 2-3x through AI-driven automation.
3Features a proprietary Context Engine capable of indexing 400,000-500,000 files simultaneously with ~100ms retrieval latency.
4Offers on-premise deployment options and role-based policy enforcement for large enterprise environments.

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Augment Code?

Augment Code is an AI-powered platform for agentic software development developed by Augment Code (company) that enables professional software engineers and enterprise teams to boost engineering throughput and reduce merge times. It focuses on multi-repository complex codebases and enterprise-grade features like role-based policy enforcement and on-prem deployment options.

features

Key Features of Augment Code

Augment Code provides a suite of features designed to enhance enterprise software development workflows through AI-driven automation and deep codebase understanding.

  • Proprietary "Context Engine" for deep codebase understanding across entire repositories, including code, dependencies, documentation, and commit history.
  • Autonomous AI agents that plan, build, and open pull requests, moving beyond simple code completion to execute multi-step tasks.
  • Cosmos platform, launched in June 2026, for orchestrating AI agents across the full software development lifecycle (SDLC), from triage to deployment.
  • Prism model routing, introduced in May 2026, to optimize AI model selection and reduce costs by 20-30% while maintaining quality.
  • Role-based policy enforcement for enterprise-grade security, compliance, and governance within development processes.
  • On-premise deployment options catering to organizations with strict data residency and security requirements.
  • Command-line interface (CLI) support for integrated workflows and task management.
  • Bring Your Own Keys (BYOK) functionality for integrating preferred AI models and maintaining control over API access.
  • Support for a range of frontier and open AI models, including Anthropic's Claude 3.5 Sonnet and Claude Fable 5 via Google Cloud's Vertex AI.
  • Model Context Protocol (MCP) support, enabling its Context Engine to be used with any AI agent, LLM, or MCP-compatible platform.

use cases

Who Should Use Augment Code?

Augment Code is specifically engineered for large enterprise environments and professional software engineering teams facing complex development challenges.

  • Professional software engineers and enterprise teams managing large, complex, multi-repository codebases requiring deep understanding and navigation.
  • Organizations seeking to automate code review processes, with agents reportedly achieving 60-80% acceptance rates for AI suggestions.
  • Development teams undertaking large-scale code migrations, complex refactoring tasks, and AI-assisted bug fixing and debugging.
  • Enterprises aiming to significantly reduce developer onboarding time, from months to weeks or days, by providing immediate codebase context.
  • Teams requiring automated documentation generation, enhanced test coverage, incident management automation, and security remediation workflows.

how to use

How to Use Augment Code

Augment Code integrates with existing developer environments and provides agentic capabilities to streamline the software development lifecycle. Users typically begin by integrating the platform into their preferred IDE or utilizing its command-line interface.

  • 1Integrate Augment Code with your preferred Integrated Development Environment (IDE), such as VS Code or JetBrains, or utilize its command-line interface (CLI).
  • 2Leverage the proprietary Context Engine to index and understand your entire codebase, including multi-repository dependencies, documentation, and commit history.
  • 3Deploy autonomous AI agents via the Cosmos platform to automate specific tasks across the software development lifecycle, from initial triage to deployment.
  • 4Utilize agents for functions such as generating pull requests, performing automated code reviews, assisting with bug fixes by analyzing error logs, or creating documentation and test stubs.
  • 5Configure enterprise-grade features like role-based policy enforcement and select on-premise deployment options as required for data governance and security.
  • 6Optimize AI model usage and costs by routing requests through the Prism feature, which selects the most optimal AI model for each task.

pricing

Augment Code Pricing & Plans

Augment Code operates on a paid subscription model, offering specific tiers tailored for individual developers and custom solutions for enterprise organizations. The platform has undergone strategic pricing and feature adjustments, notably the sunsetting of certain inline completion features for non-enterprise plans.

  • Indie Plan: Priced at $20 per month, this plan offers 125 user messages and targets individual developers with light to moderate usage.
  • Enterprise Plans: Custom pricing is available for large organizations, which includes comprehensive features such as on-prem deployment options, role-based policy enforcement, and dedicated support for complex, multi-repository environments.

Pros

  • +Exceptional contextual awareness and deep codebase understanding across multi-repository systems via the proprietary Context Engine.
  • +Significant productivity gains, including a reported 2-3x engineering throughput uplift and 66% reduction in time to merge.
  • +Effective for complex enterprise tasks such as large-scale refactoring, code migrations, debugging with proof, and database model changes.
  • +Supports advanced enterprise requirements like role-based policy enforcement, Bring Your Own Keys (BYOK), and on-premise deployment options.
  • +Offers autonomous AI agent-driven development and full SDLC automation through the Cosmos platform, moving beyond simple code completion.
  • +Includes Prism model routing, which can reduce AI model costs by 20-30% while maintaining quality and leveraging optimal models.

Cons

  • −Strategic pivot in March 2026 led to the sunsetting of inline completions for Indie, Standard, and Legacy plans, causing user friction and requiring adaptation to agentic workflows.
  • −Primarily designed for large enterprise environments, potentially making it less suitable or cost-effective for individual developers or smaller teams.
  • −Requires integration and configuration within existing enterprise IT infrastructure, which may involve an initial setup overhead.
  • −The shift towards autonomous agentic workflows might require a learning curve for users accustomed to traditional code completion tools.
  • −Specific pricing details for enterprise tiers are not publicly disclosed, requiring custom quotes, which can be a barrier for initial evaluation.

Policies

Pricing Page

View Pricing→

Similar Tools

Augment Code vs Competitors

Augment Code distinguishes itself in the AI coding tool market through its focus on agentic software development at organizational scale, deep codebase understanding, and enterprise-grade features. It competes with several established and emerging platforms.

1
GitHub Copilot EnterpriseOn StorkCompare

It offers deep integration within the GitHub ecosystem and provides robust enterprise-grade security, compliance, and policy controls for large organizations.

GitHub Copilot Enterprise provides comprehensive AI assistance within the developer's IDE and GitHub workflow, including agentic features for broader tasks, but its emphasis on on-premise deployment is less central compared to Augment Code.

2
Sourcegraph CodyOn StorkCompare

Cody provides AI-powered code search and assistance with full-codebase awareness, making it particularly effective for understanding and navigating large monorepos and complex codebases.

Similar to Augment Code's focus on multi-repository complex codebases, Cody excels in providing deep context across vast codebases, though its primary offering often involves cloud-based deployments with enterprise-level features.

3
TabnineOn StorkCompare

Tabnine prioritizes privacy and security, offering extensive on-premises deployment options and the ability to train AI models on internal codebases, supporting air-gapped environments.

Tabnine directly competes with Augment Code by catering to enterprises with strict data governance and security requirements through its strong focus on on-premise deployment and zero code retention policies.

4
Moderne (with Moddy)On StorkCompare

Moderne specializes in large-scale code modernization and transformation across multiple repositories using its AI agent, Moddy, and a Lossless Semantic Tree (LST) data model for deep code context.

Moderne directly targets the challenge of managing and evolving complex, multi-repository enterprise codebases, offering agentic capabilities for large-scale changes, which closely aligns with Augment Code's mission to boost engineering throughput at organizational scale.

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