Cursor best practices for enterprise teams

Cursor, an AI-first code editor built on a VS Code fork, has seen widespread adoption within enterprise engineering organizations due to its ability to integrate large language models directly into the development environment for tasks like autocomplete and multi-file edits. However, scaling Cursor's use presents challenges such as scattered API keys, invisible token spend, lack of budget controls, and compliance gaps. To address these issues, the introduction of an AI gateway like Portkey is recommended, which acts as a control plane between Cursor and model providers to enforce policies, log usage, and manage routing and budgets centrally. This setup allows for centralized credential management, budget limits, model access governance, and data security through input and output guardrails, making usage predictable and manageable across organizations while maintaining the same developer workflow.

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