Sumanth (@Sumanth_077) “Managing AI coding agents across your team is messier than it looks! Claude Code” — TopicDigg

Managing AI coding agents across your team is messier than it looks! Claude Code, Codex, Cursor - each one connects to model providers separately, with its own configuration, its own spend, and no shared visibility across any of them. Let me explain why this becomes a real problem at scale. Every developer on your team is using different AI tools. Each tool talks directly to its own model provider. No one knows which team is spending what, on which model, through which app. Security policies that apply to one tool don't automatically apply to another. When a new tool gets added, the entire setup starts over. This is AI sprawl. And it compounds fast. Glean just launched AI Gateway to address this. It sits as a single layer underneath all your AI tools, Claude Code, Codex, Cursor, internal agents, and custom apps. Instead of each tool talking to model providers separately, everything routes through one place. Two components make up the system. The LLM Gateway centralizes model access, provider routing, spend quotas, and audit trails across every tool. The MCP Gateway standardizes which tools and actions AI systems can access, so you configure approved tool access once instead of reconfiguring every AI app separately. The end result: your developers keep using the tools they already use. The controls, observability, and policies sit underneath every interaction without changing the workflow. Key capabilities: • Single layer for model access across Claude Code, Codex, Cursor, and internal apps • Spend attribution by app, user, model, and provider • Consistent security policies across all AI surfaces • MCP Gateway for standardized tool access across AI systems • Audit trails for every model interaction I've shared the link in the replies!