Augment Code builds AI agents designed to work across entire, real-world codebases, not just individual files or snippets. The system integrates directly into existing developer workflows — from IDE to CLI to code review — allowing AI to participate where engineers already work.

In large enterprises, software systems often consist of millions of lines of code spread across thousands of files, accumulated over many years. These codebases encode business logic, operational assumptions, and institutional knowledge that is difficult for humans — and most AI tools — to navigate. Augment is built to maintain deep, persistent codebase context, enabling use cases that go beyond autocomplete or one-off code generation.

The team initially focused on a coding assistant and has since expanded toward agentic workflows — AI that can take on entire engineering tasks, not just suggest the next line.