U.S. Defense Intelligence Organization Scales Secure Development Infrastructure with Multi-Tenant Coder Deployment
A central managed service platform within a U.S. Defense Intelligence Organization uses Coder to provide secure, standardized development environments to 2,500+ developers across multiple mission areas, establishing the military's first true multi-tenant platform for cloud development.
From Week-Long Setup to Instant Access: How PsiQuantum Accelerates Quantum Algorithm Research with Coder
PsiQuantum is building the world's first utility-scale quantum computer and using Coder to power it's groundbreaking quantum development tools.
Intelligence Agency Accelerates Mission-Critical Development with Governed Cloud Environments
This Defense Intelligence organization operates at the intersection of national security and advanced technology development. As part of a broader Department of Defense network, the organization's mission depends on software engineers who can rapidly develop, test, and deploy intelligence analysis tools in highly classified environments.
From Day 30 to Day One: How a Global FinTech Is Modernizing Developer Onboarding for 15,000+ Engineers
A global leader in financial technology partners with Coder to transform its internal developer platform, accelerating onboarding, standardizing environments, and building the foundation for secure AI adoption at enterprise scale.
U.S. DoD Strengthens National Defense with Secure, Centralized Cloud Development
This Department of Defense agency deployed Coder on AWS GovCloud (US) to centralize development across classified environments, automate tool updates, and enforce strict data access controls. The result was a secure, compliant, and high-performance cloud platform that reduced exfiltration risks and improved developer productivity.
U.S. DoD Command Secures Developer Productivity with Coder on AWS
A Department of Defense command adopted Coder on AWS GovCloud to provide ephemeral, GPU-enabled workspaces and centralized data management with AWS KMS encryption. This streamlined MLOps workflows, reduced model training times, enforced security at scale, and optimized cloud resource utilization.