.jpg)
Coder, the leader in self-hosted AI development infrastructure for the enterprise, today announced the beta release of Coder Agents. The solution is a native AI coding agent designed to run entirely on self-hosted infrastructure and empower developers to use any AI model they desire, giving enterprises the security and governance required to run AI-driven development workflows at scale. AI adoption in software development has accelerated rapidly, with 61% of engineering teams already running agents.
Coder announces beta release of Coder Agents, self-hosted AI coding agents for enterprise governance.
61% of engineering teams already running agents, yet most lack infrastructure to scale safely.
Coder research shows 70% of companies deploy agents on infrastructure never designed to support them.
Entire agent system including control plane, orchestration, and execution runs on customer-owned infrastructure.
Supports fully air-gapped or network-restricted environments with any AI model provider or self-hosted models.
Beta available now with full feature access and no usage-based limits through September.
AI adoption in software development has accelerated rapidly, with 61% of engineering teams already running agents. Yet most remain in early stages of maturity and lack the infrastructure to scale them safely. Many rely on tools with cloud-hosted orchestration, sending code and context to third-party services with limited visibility or control. For large enterprises and companies in highly regulated industries, this tradeoff is unacceptable.
Built directly into Coder, Coder Agents gives enterprises a way to deliver modern, agent-driven developer workflows without sending source code, prompts, or model interactions outside their network perimeter. Instead of running agents in a vendor-controlled cloud, the entire agent system — including the control plane, orchestration, and execution — runs on infrastructure owned and operated by the customer, enabling centralized governance and secure, scalable development across the organization.
“Companies are being forced to choose between adopting AI agents and maintaining control over their infrastructure and data,” said Rob Whiteley, CEO at Coder. “Coder Agents removes that tradeoff. You get a modern, conversational agent experience, entirely inside your own environment. Now enterprises can equip any employee with any AI coding model of their choosing, with the governance and flexibility they require.”
AI coding workflows are entering a new phase. As model capabilities continue to advance, differentiation is shifting away from the agent itself and toward the infrastructure required to run it securely and at scale. Despite this demand, Coder research shows that 70% of companies are deploying agents on infrastructure that was never designed to support them, exposing a gap between adoption and enterprise readiness.
Coder addresses this challenge, enabling organizations to:
Keep source code, prompts, and model traffic within the network boundary
Run agents in fully air-gapped or network-restricted environments
Connect to any AI model provider or self-host AI models entirely without intermediary routing
Enforce centralized policies for model access, prompts, and usage across teams
For platform teams, Coder Agents provides a standardized way to deploy and manage AI agents across the organization. Instead of fragmented tooling and inconsistent configurations, teams can centralize model access, enforce policies, and gain visibility into how agents are used and what they produce. Developers can delegate tasks such as writing code, generating tests, analyzing repositories, and opening pull requests through a conversational interface and API.
Coder is the only AI development Infrastructure that unifies development environments, AI governance, and autonomous agents into a single, self-hosted system. It enables enterprises to move development off unmanaged endpoints and into standardized, policy-controlled environments where both builders and AI agents operate in parallel safely. With centralized governance, AI model-agnostic flexibility, and full observability, Coder allows organizations to scale AI adoption without compromising security, compliance, or cost control.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.