What Augment Code does
Augment Code builds enterprise “coding assistant” software designed for large, complex codebases, where model context and operational reliability matter as much as code generation. The company’s core differentiator is repository-scale context: its Context Engine is described as a semantic indexing/retrieval system that maps code relationships across many files so AI coding agents spend fewer tokens and fewer turns searching for the right implementation details.
On top of this context layer, Augment positions Cosmos as a platform for running agent workflows “at organizational scale” (a software-factory approach). Cosmos is presented as an orchestration environment that provides agents with the right context, tools, and feedback loops, including multiple specialized “Experts” for tasks such as end-to-end code review, CI failure diagnosis, incident response coordination, and security vulnerability triage. Augment also offers a CLI experience (Auggie CLI) and integrations based on Model Context Protocol (MCP) and “native tools,” aiming to let teams connect the assistant to their existing engineering systems (for example, GitHub and issue/work-tracking tools) while maintaining enterprise controls and tenant isolation.
Augment’s go-to-market centers on teams that need secure, production-oriented use of AI for software engineering workflows (reviews, verification/repair loops, incident-driven investigation, and modernization). Its business model appears subscription/SaaS with usage-based “top-ups” on team plans, and an enterprise tier with custom terms; pricing and plan features are described on its pricing page, including a statement that paid plans exclude AI training on customer data.