Coder and WWT Partner to Secure Enterprise AI Development at Scale

AUSTIN, Texas – February 04, 2026 – Coder, a leader in self-hosted AI development infrastructure, and World Wide Technology (WWT), a global technology solutions provider, have announced a strategic partnership designed to tackle one of the most pressing challenges in modern technology: securely scaling artificial intelligence development within large, complex enterprises.

The collaboration combines Coder’s open-source, agent-ready development platform with WWT’s vast expertise in enterprise infrastructure and secure deployment. The partnership aims to provide a governed, high-performance foundation for AI workflows across any environment—from public clouds to highly restricted, air-gapped data centers.

The Enterprise AI Security Imperative

As enterprises rush to integrate AI into their software development lifecycle, they are encountering significant friction. The promise of AI-powered IDEs, autonomous coding agents, and large-scale data science workflows clashes with the stringent security, governance, and compliance controls that define highly regulated industries like finance, government, and healthcare. Traditional laptop-based development and ad-hoc cloud setups are ill-equipped to manage the scale and sensitivity of AI tools, which require broad access to proprietary code, sensitive data, and critical credentials.

This gap has created a landscape of risky workarounds. A recent Cisco study highlighted that only 13% of companies have a defined AI strategy, leading many to rely on fragile solutions like unmanaged local coding agents, isolated sandboxes, and insecure credential sharing. These practices expose organizations to significant operational and security threats.

The Coder and WWT partnership directly addresses this critical need. Coder’s platform is designed to be self-hosted, giving organizations complete control over their infrastructure and data. It provides centralized, reproducible development environments that are isolated by default. Features like its dual-firewall model and process-level safeguards create what Coder calls “Agent Boundaries,” allowing autonomous AI agents to operate within strictly defined, auditable parameters. This approach treats AI agents as powerful but untrusted entities, ensuring they can enhance productivity without introducing unmanageable risk.

“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.”

A Strategic Alliance for Production-Ready AI

The collaboration is more than a simple product integration; it represents a strategic alignment of specialized capabilities. WWT, a $20 billion powerhouse with approximately 10,000 employees, brings decades of experience designing, implementing, and managing complex technology solutions for the world's largest organizations. Its deep expertise in hybrid cloud, on-premises data centers, and secure supply chains makes it an ideal partner to deploy Coder’s platform at enterprise scale.

A key component of this offering is WWT’s Advanced Technology Center (ATC), a state-of-the-art facility for testing and validating complex technology architectures. Within the ATC’s “AI Proving Ground,” customers can model, test, and optimize their Coder-based AI development workflows in a simulated real-world environment before a full-scale rollout. This de-risks adoption and ensures that solutions are production-ready from day one.

WWT will provide a full suite of consulting, architecture design, and implementation services, guiding customers through the process of migrating from fragmented local setups to a unified, secure development platform. This hands-on approach is crucial for organizations looking to navigate the operational and cultural shifts required for AI-native engineering.

“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.”

Redefining the Developer and AI Agent Experience

While the partnership heavily emphasizes security and governance, its core mission is also to enhance developer productivity. The joint solution aims to eliminate the classic trade-off between security and developer experience. By centralizing development environments, Coder frees engineers from hours of local setup and configuration drift, allowing them to start coding on any project or branch instantly.

Developers can continue to use their preferred IDEs, whether it's VS Code, a JetBrains suite, or a web-based editor, while connecting to powerful, server-grade hardware in the background. This ensures that even computationally intensive tasks like model training or large-scale builds are completed quickly, regardless of the developer's local machine capabilities.

This model is particularly transformative for AI development. The platform’s “AI Workspaces” are ephemeral, fully isolated environments where developers and AI agents can work side-by-side with shared context but controlled permissions. Coder’s “AI Bridge” provides full observability and auditability of all agent interactions, tracking everything from API requests to the prompts used. This granular control is a key differentiator from more consumer-focused, SaaS-based remote development solutions like GitHub Codespaces, offering the deep governance required by enterprises.

The joint solution from Coder and WWT gives organizations a trusted path to transforming their software development lifecycle. By providing a secure, unified platform for both human and AI-driven work, the partnership empowers enterprises to not just experiment with AI, but to operationalize it at scale and build a true foundation for the future of AI-native engineering. The solution is now available to customers globally.