Who owns Claude Code at your company? A platform team's guide to managing coding agents at scale

Coding agents have become an essential part of the developer toolkit, with tools like Claude Code, Cursor, and Codex becoming increasingly integrated into workflows. While individual developers can quickly become productive with these tools, the quality of output can vary significantly across teams due to differences in context rather than the models themselves. Some developers excel by creating structured workflows and integrating coding agents with internal systems, resulting in better outcomes. However, this knowledge is often localized and does not spread within organizations, leading to inconsistent results and challenges as teams scale. Platform teams face the task of consolidating disparate configurations and establishing a unified infrastructure. Uber's engineering team tackled this by developing an internal CLI to unify coding agent setups and facilitate skill sharing, which many organizations can emulate with tools like Portkey. Portkey provides a centralized registry for skills and MCP (Model-Context-Provider) configurations, allowing for consistent, governed, and versioned distribution across teams. By synchronizing skills and configurations, organizations can bridge the gap between varying developer outputs, standardizing and enhancing the use of coding agents at scale, akin to how Kubernetes manages Docker deployments.

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