Augment Code
UnclaimedBuild software with AI agents that understand your entire codebase, from IDE to CLI to code review.
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Reviews onCapterraSourceForge
4 reviews tracked·1 press mentionThe Bottom Line
Entry price
Paid plans only
Biggest pro
Deep contextual understanding leads to higher quality AI-generated code
Biggest con
Credit-based pricing model might be complex for some teams to manage
TL;DR - Augment Code
- AI agents understand your entire codebase for superior code generation.
- Integrates into IDEs, CLI, and code review workflows.
- Context Engine provides deep, real-time understanding of code, dependencies, and history.
Pricing: Paid only
Best for: Enterprises & pros
What is Augment Code?
Augment Code is an AI-powered software development platform that leverages intelligent agents to assist engineers across the entire development lifecycle. It aims to enhance productivity and code quality by providing AI assistance directly within integrated development environments (IDEs), command-line interfaces (CLIs), and during code review processes. The core of Augment Code is its "Context Engine," which maintains a real-time, deep understanding of a codebase, including code, dependencies, architecture, and history, to generate highly relevant and accurate AI suggestions and code.
The platform is designed for professional software teams, offering features like AI-powered code completions, automated code review that thinks like a senior engineer, and remote agents that can execute complex, multi-step tasks. Augment Code integrates with popular tools like VS Code, JetBrains, and GitHub, allowing developers to work where they are most comfortable. It focuses on delivering production-ready code by planning tasks, remembering important context across sessions, and enhancing prompts with codebase-specific information, ultimately aiming to reduce technical debt and improve development efficiency.
Available on: Web
Pros & Cons
Pros
- Deep contextual understanding leads to higher quality AI-generated code
- Integrates seamlessly into existing developer workflows (IDE, CLI, GitHub)
- Automated code review catches critical bugs and reduces noise
- Agents can handle complex, multi-step tasks with planning
- Memory and prompt enhancement features improve AI accuracy and reduce manual effort
Cons
- Credit-based pricing model might be complex for some teams to manage
- No explicit free tier mentioned, only paid plans
- Requires installation and potential integration effort
Ratings Across the Web
4.5(4 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Real-time Context Engine for codebase understandingAI-powered code completions and next editsIDE Agents for VS Code and JetBrainsCLI Agents for command-line codingAI Code Review with inline comments in GitHubTask planning for multi-step workAutomatic memories across sessionsPrompt enhancement with codebase context
Pricing Plans
Pricing checked Jun 19, 2026
INDIE
$20 / month
- 40,000 credits
- Auto top-up credits available
- No AI training allowed
- Credits can be used for Code Review
- Context Engine
- MCP & Native Tools
- Unlimited Next Edits & Completions
- SOC 2 type II
STANDARD
$60 / month
- Everything in Indie
- 130,000 credits
- Up to 20 users
MAX
$200 / month
- Everything in Standard
- 450,000 credits
- Up to 20 users
ENTERPRISE
Custom
- Custom user pricing
- Bespoke credit limit
- Slack integration
- Volume based annual discounts
- SSO, OIDC, & SCIM support
- SOC 2 & Security Reports
- CMEK & ISO42001 compliance
- Dedicated support
How Augment Code's pricing compares
At $20/mo, Augment Code is mid-range of its 4 direct competitors ($9 to $20/mo across the set).
Entry paid plan, monthly. Pricing checked Jun 19, 2026.
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Augment Code FAQ
How does Augment Code enhance code quality during development?
Augment Code improves code quality by providing AI assistance directly within IDEs and CLIs, and through automated code review. Its Context Engine maintains a deep understanding of the codebase to generate relevant and accurate AI suggestions and code. This process helps reduce technical debt and ensures production-ready code.
Which teams would benefit most from using Augment Code?
Professional software teams are best suited for Augment Code, especially those looking to enhance productivity and code quality across the entire development lifecycle. Teams that value deep contextual understanding in their AI tools and require assistance from IDE to code review will find it particularly useful.
How does Augment Code's contextual understanding compare to GitHub Copilot?
Augment Code distinguishes itself with a Context Engine that maintains a real-time, deep understanding of the entire codebase, including dependencies, architecture, and history. This allows it to generate highly relevant and accurate AI suggestions and code, which is a key differentiator in its approach to AI-powered development assistance.
What kind of tasks can Augment Code's remote agents perform?
Augment Code's remote agents are designed to execute complex, multi-step tasks. They can plan these tasks and remember important context across sessions, enhancing prompts with codebase-specific information to deliver production-ready code.
How is Augment Code priced?
Augment Code is a paid product without a permanently free tier. Its pricing model is credit-based, which teams should consider when evaluating their usage and budget.
Can Augment Code integrate with existing developer tools?
Yes, Augment Code integrates seamlessly with popular developer tools to fit into existing workflows. It offers integrations with VS Code, JetBrains, and GitHub, allowing developers to utilize its features within their preferred environments.
What are the main trade-offs to consider when adopting Augment Code?
The primary trade-offs include a credit-based pricing model that might require careful management for some teams. Additionally, adopting Augment Code involves an initial installation and potential integration effort to fully leverage its capabilities within existing developer workflows.
Source: augmentcode.com