Augment is a context-aware Developer AI that integrates with your codebase, documentation, and dependencies to provide instant answers and personalized in-line code completions. It enables development teams to quickly navigate tasks, implement changes, and maintain productivity without interrupting their workflow.
Funding
$252M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Software development teams often struggle to efficiently navigate complex codebases, understand dependencies, and implement changes, leading to slower development cycles and increased cognitive load for developers. Searching documentation, interrupting teammates, and context switching to external tools further disrupt workflows and hinder productivity.
Solution
Augment provides a context-aware Developer AI that integrates directly into a team's codebase, documentation, and dependencies to accelerate development workflows. The platform offers an AI-powered chat interface for instant answers to code-related questions, personalized in-line code completions, and suggested edits that guide developers through complex changes across multiple files. By leveraging a team's collective knowledge and providing intelligent assistance within the IDE, Augment reduces the need for context switching, minimizes interruptions, and enables developers to quickly understand, modify, and maintain code. The platform's features are designed to streamline tasks, reduce cognitive load, and ensure code consistency, ultimately leading to faster development cycles and improved team productivity.
Target Audience
Augment is designed for software development teams, ranging from startups to large enterprises, who want to improve developer productivity, reduce cognitive load, and accelerate development cycles.
Features
- AI-powered chat interface for instant answers about the codebase, dependencies, and documentation
- Personalized in-line code completions that understand the project's specific context, dependencies, and coding style
- Suggested Edits feature that guides developers through complex changes across multiple files, including refactors and dependency upgrades
- Integration with over 300 third-party documentation packages
- Ability to select specific code blocks, files, or folders to refine the context for AI assistance
- Built-in dashboards for tracking usage, trends, and completion acceptance rates
- Secure platform with SOC 2 Type II compliance and IP protection
- Slack integration for quick access to answers and insights within team discussions