Augment Code
What is Augment Code?
Augment Code is an AI coding platform for engineering teams that builds live context across code, dependencies, docs, style, recent changes, and issues so agents can finish tasks. Its Context Engine, Intent, IDE Agents, and Augment CLI work across repos and review flows, while Cosmos adds shared memory. It integrates with GitHub and Slack, and customers shown include MongoDB, Spotify, Snyk, and Webflow. Plans run Indie $20/month, Standard $60/month, Max $200/month, and Enterprise custom.
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At a glance
- Augment Code is best for engineering teams who need AI that understands large, changing codebases.
- Indie $20/mo; Standard $60/mo; Max $200/mo; Enterprise Custom
- Yes — The page points to docs and mentions native integrations and MCP for external sources, but does not describe a public API on-page.
What does Augment Code do?
Augment's Context Engine builds a live understanding of your stack by indexing code, dependencies, documentation, style, recent changes, and issues across repos and services. It then feeds that curated context into IDE agents, CLI workflows, Intent, and code review so the system can finish tasks instead of only suggesting lines. The product's semantic search maps relationships across hundreds of thousands of files, and its context curation trims thousands of sources down to the relevant set before an agent acts. At scale, Augment says it has indexed 1M+ files and uses a real-time knowledge graph to keep patterns current. Its benchmark page cites a blind study of 500 agent-generated pull requests against human code on Elasticsearch, with 3.6M Java LOC and 2,187 contributors. The security page says it is built for codebases of any size, from side projects to enterprise monorepos, and shows SOC 2 Type II, ISO/IEC 42001, and customer-managed encryption keys. Customers shown on the site include MongoDB, Spotify, Snyk, and Webflow.
Why use Augment Code?
- Its Context Engine keeps a live understanding of the stack, so agents can act on architecture and dependencies instead of isolated files.
- The product combines IDE, CLI, and code review workflows, which reduces context switching when work moves from drafting to validation.
- Augment's security posture includes customer-managed encryption keys, SOC 2 Type II, and ISO/IEC 42001 certification.
- The site shows 1M+ files indexed and a real-time knowledge graph, which signals coverage for large, fast-changing codebases.
- A blind study on Elasticsearch compared 500 agent-generated pull requests against human code, giving buyers a concrete quality benchmark.
Who is Augment Code for?
- Platform engineers who need agents to work across repos, services, and shared patterns.
- Application developers who want context-aware help inside IDE, CLI, and review workflows.
- Engineering managers who need AI adoption without losing code quality or consistency.
- Security-conscious teams who need strong controls around proprietary code and data.
- Large product teams who want shared memory and coordination across many contributors.
What are Augment Code's key features?
Context Engine
Indexes codebases of any size, from side projects to enterprise monorepos, so the agent can answer with repo-specific context instead of generic guesses.
Cosmos
Builds shared memory across teams and tools, helping learnings carry forward in large codebases and reducing repeated setup across GitHub and Slack workflows.
Intent
Interprets what you want to change before editing code, which helps the agent produce more relevant suggestions and fewer off-target changes in IDEs.
Augment CLI
Runs agent workflows from the terminal, giving developers a command-line way to inspect code, trigger actions, and keep work moving without leaving the shell.
IDE Agents
Works inside VS Code and JetBrains to assist with coding and review tasks, so teams can act on context while staying in their editor.
Code Review
Generates PR summaries and inline comments, with GitHub multi-org support and Slack integration for review workflows that fit existing engineering processes.
Real-time semantic understanding
Continuously maps code meaning across large repositories, including 3.6M Java LOC and 2.1M line C++ codebases, so suggestions stay relevant at scale.
org-level coordination
Coordinates shared context across teams using GitHub, Slack, and enterprise controls like SSO, SCIM, and audit trails for consistent org-wide usage.
What does Augment Code integrate with?
- Slack
- VS Code
- JetBrains
- GitHub
- VSCode
- Terminal
- Mixpanel
- Anthropic
- Meta
- OpenAI
- Google DeepMind
- GitLab
- Bitbucket
- Google Workspace
- Notion
- Linear
- Microsoft Teams
- Discord
- ClickUp
- Asana
- Jira
- Google Cloud
- Azure
- AWS
What are Augment Code's use cases?
Platform engineers across repos
Platform engineers use Augment Code to coordinate changes across repos, services, and shared patterns, using Context Engine to keep agents grounded in the right code. With org-level coordination, they can roll out consistent updates without losing track of dependencies or duplicating work.
Developers in IDE and CLI
Application developers use Augment Code inside VS Code, JetBrains, and Terminal to get context-aware help while they build, using IDE Agents and Augment CLI to move from question to code faster. Real-time semantic understanding helps them make changes that fit the surrounding implementation.
Managers protecting code quality
Engineering managers use Augment Code to introduce AI assistance without letting standards drift, using Code Review and Intent to keep pull requests aligned with team expectations. They can catch issues earlier and preserve consistency across a growing codebase.
Security controls for proprietary code
Security-conscious teams use Augment Code to work with proprietary code under tighter controls, using Context Engine and org-level coordination to limit exposure while still enabling useful agent workflows. That makes it easier to adopt AI without sacrificing governance.
How does Augment Code work?
- Connect your first codebase so the Context Engine can index repositories of any size, from side projects to enterprise monorepos, and start grounding agent responses in real project structure.
- Open IDE Agents in VS Code or JetBrains, or switch to Augment CLI in Terminal, then ask for changes, explanations, or implementation help in the workflow you already use.
- Use Intent to steer the agent toward the outcome you want, and let Real-time semantic understanding pull in the most relevant files, symbols, and surrounding context.
- Send work through Code Review to generate PR Summaries and Inline Comments, then apply Auto and Manual Mode to keep feedback aligned with your team's standards.
- Keep using shared memory and shared context so learnings carry forward across contributors, and use org-level coordination to scale consistent practices across the team.
How much does Augment Code cost?
Indie
$20/month- Includes 40,000 credits
- Context Engine
- MCP & Native Tools
- SOC 2 type II
- Auto top-up credits available
- No AI training allowed
- Credits can be used for Code Review
- Coding Agent
- Intent
- Chat & Agents
- Usage Analytics
- Slack integration
- PR Summaries & Inline Comments
- Auto and Manual Mode
- PR Guidelines
- MCP support
- Analytics
- User allowlist
- CMEK & ISO 42001 Compliance
- SIEM Integration
- Data Residency Options
- Granular Access Controls
- Audit Trails
- Enterprise SSO Integration
Standard
$60/month- Everything in Indie
- Includes 130,000 credits
Max
$200/month- Everything in Standard
- CosmosNEW
- Includes 450,000 credits
Enterprise
Custom- CosmosNEW
- Custom user pricing
- Bespoke credit limit
- Slack integration
- Volume based annual discounts
- SSO, OIDC and SCIM support
- SOC 2 & Security Reports
- CMEK & ISO42001 compliance
- Dedicated support
- No AI training allowed
- Custom credits
- Custom top-up
- Unlimited users
Frequently asked questions
What is Augment Code?
Augment Code is an AI coding platform for engineering teams that builds live context across code, dependencies, docs, style, recent changes, and issues so agents can finish tasks. Its Context Engine, Intent, IDE Agents, and Augment CLI work across repos and review flows, while Cosmos adds shared memory. It integrates with GitHub and Slack, and customers shown include MongoDB, Spotify, Snyk, and Webflow. Plans run Indie $20/month, Standard $60/month, Max $200/month, and Enterprise custom.
How much does Augment Code cost? Is it free?
Augment Code has 4 paid plans: Indie at $20/month, Standard at $60/month, Max at $200/month.
What is Augment Code used for? Who is it for?
Augment Code is used for Context Engine, Cosmos, and Intent. It's built for Platform engineers, Application developers, and Engineering managers.
Does Augment Code have an API and what does it integrate with?
The page points to docs and mentions native integrations and MCP for external sources, but does not describe a public API on-page. It integrates with Slack, VS Code, JetBrains, GitHub, VSCode, and 19 more.
Editor's read
Check whether the credit allotment matches your review and agent workload: Indie includes 40,000 credits, Standard 130,000, and Max 450,000, while Enterprise uses a bespoke credit limit and custom top-up. If code review and agent usage are heavy, the jump point is likely credits rather than features.
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