Coder and World Wide Technology have announced a strategic partnership to deploy Coder’s self-hosted AI development platform across WWT’s enterprise customers.
Tracxn lists Coder, self-hosted AI workspaces, as having raised about $85.2 million across four funding rounds. WWT has described itself publicly as a technology solutions provider with more than $20 billion in annual revenue and over 10,000 employees.
The companies said the deal is aimed at organizations that need AI-assisted development workflows to run across public cloud, hybrid, on-premises and air-gapped environments with consistent governance and controls.
WWT said it will provide consulting, architecture design and implementation services to help customers deploy and scale Coder in large enterprise environments.
The companies also said customers can test and validate deployments through WWT’s Advanced Technology Center before broader rollout.
Coder’s pitch: bring “agent” workflows into governed, self-hosted workspaces
Coder stated that the partnership addresses a tension between development teams seeking modern AI tools and security teams requiring oversight of code and data.
The companies said Coder’s platform is designed to run inside customer-controlled infrastructure, including air-gapped data centers.
Coder has been building a governance-focused stack for “hybrid human and agent teams,” including features it calls AI Bridge, Agent Boundaries and enhancements to Coder Tasks.
What Coder is selling as “governance”
The partnership is built around “governed” AI development, meaning controls that let enterprises run AI-assisted workflows inside their own infrastructure without losing visibility or policy enforcement.
In its product materials, Coder points to three platform capabilities it says support that governance layer.
Coder describes Agent Boundaries as “process-level firewalls” that restrict and audit what autonomous programs such as AI agents can access and use. In its launch write-up, Coder said the feature sits between an agent and the network and can enforce policies before requests leave the workspace.
Coder says AI Bridge acts as a gateway between AI clients (coding agents or IDEs) and upstream model providers. It says the gateway can record prompts, token usage and tool invocations by intercepting AI traffic.
Coder has described Tasks as an execution layer for managed jobs, including long-running work that can be triggered by a person or an agent.
Competitive positioning: “secure deployment” is becoming a headline feature
The emphasis on governed deployment mirrors technical guidance recently published by other vendors. Anthropic, for example, publishes guidance on “securely deploying AI agents” for Claude Code and its Agent SDK, emphasizing controls like isolation and credential management.