When GitHub Copilot scales across entire engineering teams, native controls around visibility, credential management, cost attribution, and security start to break down. This playbook outlines five platform-level practices for managing Copilot at scale: centralizing request logging with metadata tagging, building a credential hierarchy via an AI gateway, controlling model selection per user or workspace, setting independent budget and rate limits per team, and applying guardrails to prompts and responses. Portkey's AI gateway is presented as the control layer that sits between Copilot and LLM providers to enforce these practices.
Table of contents
What GitHub Copilot is and how teams access it todayWhere GitHub Copilot’s native controls break down at scaleGitHub Copilot best practices: Building the control layer your team actually needsEmbracing shared LLM infrastructure: What comes nextFAQsSort: