Augment Code is an AI software development platform built around a proprietary Context Engine that maintains a live understanding of an entire codebase, including code, dependencies, architecture, and history. Rather than reasoning over a small window of files, it aims to give AI agents deep, current context so suggestions and automated changes reflect how a large, real-world codebase actually works.
The platform spans the developer workflow with IDE agents, AI-assisted code review, CLI tools, and Slack integration, plus a developer workspace for coordinating agent-driven development. Its central differentiator is context quality at scale, targeting the large, complex codebases where generic assistants tend to lose accuracy.
Augment Code was founded in 2022 by Igor Ostrovsky, a former chief architect at Pure Storage and Microsoft engineer, and Guy Gur-Ari, an AI researcher previously at Google. Industry veteran Scott Dietzen, known for leadership roles at Pure Storage and Yahoo, has been associated with the company's leadership, alongside experienced operators from major technology firms.
The company emerged from stealth with a substantial Series B of $227 million at a valuation near $977 million, backed by investors including Sutter Hill Ventures, Index Ventures, Innovation Endeavors, Lightspeed Venture Partners, and Meritech Capital, providing significant resources to compete in the crowded AI coding market.
Augment Code reports adoption by engineering teams at organizations such as MongoDB, Spotify, Snyk, and Webflow, indicating traction with teams maintaining large production codebases where context accuracy matters most.
The platform is best for engineering teams working on large, complex codebases that need AI deeply grounded in their specific architecture and history. Solo developers or small projects may not see as much advantage from the Context Engine versus simpler assistants, and adoption requires integrating the platform into existing workflows.