Augment Code is an AI coding assistant designed specifically for professional software engineers working on large, complex codebases rather than isolated scripts or small projects. It provides deep contextual code completion, an AI chat interface, and automated refactoring by indexing and understanding the full scope of a team’s codebase — including dependencies, patterns, and conventions — rather than operating on a file-by-file basis. The platform integrates into the editors and workflows engineers already use, and is available to individuals as well as enterprise teams. Augment differentiates itself by emphasizing codebase-wide context as a core capability, addressing a gap that general-purpose AI assistants struggle with when applied to enterprise-scale software projects.
Augment Code
AI coding assistant built for large, real-world codebases.
Compliance
GDPR SOC 2
Key Features
- Codebase-wide context: Indexes an entire repository to provide completions and suggestions that are aware of the team’s existing patterns, APIs, and conventions — not just the open file.
- Contextual code completion: Delivers inline completions that reflect the broader project structure, reducing the need to correct suggestions that conflict with existing code elsewhere in the repo.
- AI chat for code: Provides a conversational interface for asking questions about the codebase, generating code, and explaining existing logic, all with access to full project context.
- Automated refactoring: Assists with large-scale refactoring tasks that span multiple files, leveraging its understanding of the full codebase to make changes that are consistent across the project.
- Proprietary and multi-model support: Uses a combination of proprietary models and third-party LLMs, giving the platform flexibility in how it balances capability, latency, and cost.
Use Cases
- For senior engineers navigating large legacy codebases: A software engineer joining a team with a large existing codebase uses Augment to quickly understand how different components connect and to write new code that fits established conventions without extensive manual exploration.
- For engineering teams doing large-scale refactoring: A team migrating to a new framework or updating a core dependency across hundreds of files uses Augment’s refactoring capabilities to make consistent changes at scale rather than updating files manually.
- For enterprise teams wanting AI assistance with security controls: An enterprise engineering team needs an AI coding assistant that can operate within their security and compliance requirements — Augment’s SOC 2 and GDPR coverage supports that procurement process.
Pricing MODELS
Freemium
Pricing Summary
Augment Code offers a free tier for getting started, a Developer plan at $30/month, and custom enterprise pricing for larger teams. Pricing is publicly listed on their website.
Company Size Fit
Enterprise Mid-market SMB
Technical Snapshot
API Available
Yes
LLM Provider
Multi-model, Proprietary
Open Source
No
Deployment Options
Cloud Saas
Notable Customers
Undisclosed