AI coding platform with codebase-wide context for enterprise developers
Augment Code builds an AI coding assistant that indexes entire codebases so developers get context-aware help inside their editors. The stack pairs OpenAI and Gemini models with PyTorch and TensorFlow, plus IntelliJ IDEA and Kotlin, which points to native IDE plugin work. Engineering-led hiring alongside a dbt and BigQuery buildout suggests the team is instrumenting product usage through metrics and A/B testing.
Augment Code is a Palo Alto, California company founded in 2022 that develops an AI-driven coding platform aimed at enterprise software teams. The product semantically indexes code, documentation, dependencies and internal knowledge to support faster shipping, quicker onboarding and legacy modernization. It operated in stealth before launching publicly in November 2024. The privately held company employs 51–200 people and hires in the United States across engineering, data and product.
Augment Code uses Python, Go, TypeScript, Rust and Kotlin, with OpenAI, Gemini, PyTorch and TensorFlow for AI, Kubernetes and Bazel for infrastructure, GCP, AWS and Azure for cloud, and dbt with BigQuery for data.
Job posts point to prompt engineering for LLM reliability, AI-powered developer flows, an automations platform, and a metrics and A/B testing architecture built on dbt and BigQuery.
Augment Code is headquartered in Palo Alto, California, and hires in the United States. It was founded in 2022 and has 51–200 employees.
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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 →
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