Coder and WWT Partner to Modernize Secure AI Development in Hybrid Cloud

Coder, a leading provider of self-hosted AI development infrastructure, has announced a strategic partnership with World Wide Technology (WWT), a globally recognized technology solutions company. Together, the two organizations aim to help enterprises modernize, optimize, and secure AI-powered software development workflows across complex hybrid cloud environments.

As artificial intelligence continues to reshape the software development landscape, enterprises are increasingly adopting AI-driven tools such as intelligent IDEs, autonomous coding agents, and large-scale data science platforms. However, many highly regulated industries face growing challenges. Traditional laptop-based development environments and ad hoc cloud setups often fail to meet the security, governance, and scalability requirements needed to support AI development at an enterprise level.

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To address these challenges, Coder and WWT are joining forces to accelerate AI innovation while ensuring sensitive code, data, and credentials remain protected within secure, governed environments. By combining Coder’s self-hosted, agent-ready development platform with WWT’s deep expertise in infrastructure integration and secure deployment, enterprises can now run modern AI workflows seamlessly across public cloud, hybrid, on-premises, and even air-gapped environments.

“Enterprises are moving beyond isolated AI experiments and into real production workflows, but what’s missing is a governed foundation that supports modern AI development across every environment that enterprises operate in,” said Rob Whiteley, CEO of Coder. “By partnering with WWT, we are enabling the world’s largest and most security-conscious organizations to accelerate their AI initiatives. WWT’s proven ability to integrate sophisticated solutions into demanding environments, especially in air-gapped and hybrid data centers, makes them the ideal partner to deliver the Coder platform to enterprises where security, governance, efficiency, and performance are non-negotiable.”

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Through this collaboration, the companies will focus on solving three critical AI development issues enterprises face today.

First, they will support enterprise-grade AI and data science environments by helping organizations migrate from fragmented laptop-based setups into centralized and reproducible development environments aligned with production infrastructure, including GPU-enabled and air-gapped data centers.

Second, the partnership will ensure secure execution of AI-powered developer tools. Modern AI assistants and IDEs will operate inside isolated, policy-controlled environments that safeguard source code, datasets, credentials, and AI models without compromising developer productivity.

Third, Coder and WWT will enable governed use of autonomous coding agents. Enterprises can deploy these agents with defined execution limits, auditable activity, and controlled access, allowing parallel development while reducing unmanaged risk.

WWT will also provide consulting, architecture planning, and implementation services to help customers deploy and scale Coder across demanding enterprise environments. Additionally, customers can validate solutions through WWT’s Advanced Technology Center before broad rollout.

“Enterprises want to unlock the productivity benefits of AI while moving toward AI Native Engineering without introducing new operational or security risks,” said Bob Olwig, executive vice president of partnerships at WWT. “Coder provides the execution layer needed to unify human and agent workflows across the software lifecycle. WWT brings the infrastructure and consulting expertise to deploy this capability securely across cloud, hybrid, and air gapped environments at enterprise scale, giving customers a trusted path to full SDLC transformation and operating-model change.”

With this partnership, Coder and WWT are positioning enterprises to confidently adopt AI-native development models while maintaining strict governance, security, and operational control.

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