Augment Code

Augment's Intercom case identifies a senior product engineer using coordinated local/remote agents and GitHub issues/PRs for a large internal application, reporting 200 merged PRs in one week with human review.

Augment Code's Codem case study reports one e-commerce migration completed in under six weeks versus a typical two to three months, and three legacy logistics applications transitioned to microservices with a reported 50% time reduction.

Augment Code is used by software teams for AI-assisted coding and large-codebase workflows.

Augment documents Context Engine MCP with local working-directory retrieval and hosted cross-repository retrieval, plus an evaluation protocol using 300 Elasticsearch pull requests and three prompts each. The retrieval interface and concrete evaluation design add evidence beyond generic context-aware coding.

Augment develops context-aware coding agents and codebase understanding systems for professional development workflows.

Augment develops context-aware coding agents and codebase understanding systems for professional development workflows.

Augment documents a per-tenant code index with file-fingerprint proof-of-possession checks: client requests specify accessible files and retrieval is restricted to those fingerprints, adding a concrete enterprise data-boundary mechanism beyond financing.

Augment announced a $227 million Series B on April 24, 2024 at a $977 million post-money valuation, bringing total funding to $252 million and earmarking capital for product, engineering and go-to-market expansion.

Augment operates an enterprise developer-tool platform with security, integrations and engineering support.

Coding-agent, developer tooling and software engineering skills transfer broadly across software and AI companies.

Coding-agent, developer tooling and software engineering skills transfer broadly across software and AI companies.

Augment Context Engine MCP works across major coding agents including Claude Code, Cursor and Codex, while Augment engineering has shifted toward production agent orchestration, architectural judgment, semantic retrieval, codebase indexing and human-agent system design, supporting portability across AI coding, retrieval, agent and software-platform roles.