AI coding platform with enterprise-grade codebase indexing for developers
Augment Code launched publicly in November 2024 with a Context Engine built over 2.5 years—a production-grade semantic indexing system that maps codebases, documentation, and internal knowledge in real time. The stack (Python, Go, Node.js, React, PyTorch, TensorFlow, BigQuery, dbt) reflects both ML infrastructure maturity and a web-first product approach. Active hiring is concentrated in engineering and data roles, with projects spanning prompt reliability, AI-powered developer flows, and metrics infrastructure—all pointing toward deepening AI integration without replacing human developers.
Augment Code is an AI-native coding platform designed for enterprise development teams. The product centers on semantic indexing of an organization's entire technical knowledge—codebase, documentation, dependencies, and internal context—to accelerate shipping, compress onboarding timelines, and support legacy system modernization. Founded in 2022 and based in Palo Alto, the team draws from Google, Meta, NVIDIA, Snowflake, and Databricks. The company operates at 51–200 employees with active hiring focused on engineering and data roles across the United States.
Python, Go, Node.js, TypeScript, Java, React, PyTorch, TensorFlow, Kubernetes, Docker, BigQuery, dbt, GCP, AWS, Azure, OpenAI, and Gemini.
Palo Alto, California. The company was founded in 2022 and launched publicly in November 2024.
Augment Code's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.