Claude Code best practices for enterprise teams
Blog post from Portkey
Claude Code, a widely used AI coding agent, faces operational challenges when used at scale, including scattered API keys, spiraling costs, and a lack of visibility and control over usage. Two access methods exist: a subscription model with limited usage visibility and an Anthropic API offering better visibility but requiring individual API keys. Both methods lack inherent features to manage teams separately, apply guardrails, or handle provider outages. An AI gateway, like Portkey, addresses these issues by sitting between Claude Code and the LLM provider, offering a control layer that includes credential management, budget and rate limits, request logging, metadata tagging, provider fallbacks, and multi-provider routing, all without disrupting developer workflows. Portkey simplifies setup with a unified configuration, enabling easy switching between providers and maintaining operational efficiency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 3 | 6,078 | 960 | 218 | +18% |
| AI Coding Assistant | 1 | 1,255 | 319 | 126 | +24% |
| Loop engineering | 1 | 45 | 29 | 26 | +67% |
| Observability | 1 | 3,204 | 716 | 172 | +14% |
| Real-time | 1 | 6,457 | 1,307 | 242 | +28% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.