Coder builds self-hosted infrastructure for teams pairing AI coding agents with human developers. The stack reveals a platform company: Kubernetes + Terraform + PostgreSQL for cloud-native ops, TypeScript + React for UI, Go for backend services, plus monitoring (Prometheus/Grafana) and enterprise integrations (Salesforce, NetSuite, DocuSign). The hiring mix skews heavily security (8 roles) and engineering (10 roles) against modest sales (4 roles), indicating a shift from product-led to enterprise-led—a pattern reinforced by active work on SOC2, endpoint protection, and agent firewalls.
Coder, founded in 2017 and based in Austin, is an AI software development platform that runs on-premise or in customer-controlled cloud environments. The product targets mid-market and enterprise engineering teams who need governance over AI coding workflows without sacrificing development velocity. Coder's architecture spans remote development environments, IDE integrations (VS Code, JetBrains), and a security layer designed to audit, control, and monitor agentic AI during the software lifecycle. The company operates across cloud platforms (AWS, GCP, Azure) and emphasizes infrastructure-as-code (Terraform, Kubernetes, Helm) to simplify deployment.
Backend: Go, PostgreSQL, gRPC, Python. Frontend: TypeScript, React, Vite. Infrastructure: AWS, GCP, Azure, Kubernetes, Docker, Terraform. Integrations: VS Code, JetBrains, GitLab CI/CD, Slack. Enterprise: Salesforce, NetSuite, DocuSign.
Current projects include self-hosted remote development, IDE integrations, enterprise security (dashboards, agent firewalls, AI gateways), infrastructure upgrades (Helm charts, Terraform providers), and SOC2 compliance preparation.
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Coder'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.