Augment Code

Augment Code

Freemium

AI software agent platform with deep codebase understanding, working across IDE, CLI, code review, and Slack to accelerate engineering at scale.

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What is Augment Code?

Augment Code is an AI coding platform for engineering teams, built around one claim: context. Its Context Engine indexes your real repository, dependencies, documentation, style guides and recent changes, then feeds curated context to agents working across your IDE, CLI, code review and Slack. It supports VS Code and JetBrains, handles pull requests and intent-based automation, and publishes a Trust Center for enterprise security review. Pricing has moved twice and the direction is upward. Augment switched from message-based to credit-based billing in October 2025, then retired the Indie and Standard individual plans, leaving Business at $100 per month flat as the entry point. Inline completions were sunset on 31 March 2026. Credits burn at different rates per model, so two developers on the same plan can generate very different bills, and top-ups run about $15 per 24,000 credits. Budget for variable cost, not a flat seat fee.

Key Features

Context EngineFull Codebase IndexingIDE AgentCLI AgentCode Review AgentSlack IntegrationIntent AutomationVS Code SupportJetBrains SupportMCP Context ServerPull Request ManagementDependency AnalysisStyle Guide AwarenessRecent Change TrackingEnterprise SecurityTrust CenterCredit-based UsageSemantic Code Understanding4456 Source IndexingGemini 3.1 Pro Support

Integrations

Development
GitHubGitLabSentry
Project Management
JiraLinear
Writing & Docs
ConfluenceNotion
Communication
Slack

How to Use Augment Code

1Install Augment from augmentcode.com/install for VS Code or JetBrains
2Sign in and connect your codebase to the Augment Context Engine
3Allow the Context Engine to index your code, dependencies, docs, and style guides
4Open the Augment agent panel in your IDE and describe the task you need done
5The agent uses deep codebase context to write accurate, style-consistent code
6Use the CLI for terminal-based agentic coding outside the IDE
7Connect Augment to your Slack workspace for asynchronous agent assistance
8Set up the Code Review agent to automatically analyze and comment on pull requests
9Use Intent automation to define and trigger repeatable engineering workflows

✅ Best For

  • Professional software engineers working on large, complex codebases
  • Engineering teams wanting AI that understands their full system architecture
  • Organizations needing enterprise-grade AI coding with security and compliance
  • Developers working across IDE, terminal, and code review workflows
  • Teams wanting AI assistance integrated into existing PR review processes
  • Companies looking to accelerate development velocity without compromising code quality

❌ Not For

  • Individual hobbyists or students needing a simple code completion tool
  • Teams without an established codebase for the Context Engine to index
  • Developers needing a visual design-to-code workflow
  • Users wanting a fully autonomous zero-oversight AI code builder

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Pricing

Free$0
  • ✓VS Code and JetBrains install
  • ✓basic completions
  • ✓standard context
Developer$30/mo
  • ✓Full agent access
  • ✓Context Engine
  • ✓IDE and CLI agents
  • ✓credit-based usage
Business$60/user/mo
  • ✓Team collaboration
  • ✓code review agent
  • ✓Slack integration
  • ✓admin controls
EnterpriseCustom
  • ✓Full platform
  • ✓SSO
  • ✓audit logs
  • ✓dedicated support
  • ✓custom SLA

Prompts to Try

Analyze the entire payment module and identify any functions that don't follow our error handling patterns defined in the style guide

Implement a feature for user notification preferences, following the same patterns used in the email preferences module

Review this pull request and flag any violations of our architectural principles or performance anti-patterns

Use Cases

A senior engineer uses Augment's Context Engine to onboard onto a new 500k-line monorepo in days instead of weeks, asking agents to explain patterns and implement features in the existing style
An engineering team connects Augment's Code Review agent to their GitHub PRs, automatically catching style violations, missing tests, and architectural drift before human review
A developer uses the Augment CLI to run an agentic task that traces a performance bug through multiple services in the codebase and proposes a fix without leaving the terminal
A tech lead sets up Intent automations in Augment to automatically generate documentation and test stubs for any new public function added to the codebase

Frequently Asked Questions