Kamya Shah

TL;DR Claude Code adoption is surging across enterprise engineering teams, but scaling it beyond a handful of developers creates real operational challenges: runaway costs, zero per-developer spend visibility, and no centralized governance. An enterprise AI gateway solves this by sitting between your Claude Code instances and AI providers,

TL;DR: Open source AI gateways have become essential infrastructure for production LLM applications. In 2026, the field has consolidated around a few serious contenders, but Bifrost leads the pack with 11µs overhead at 5,000 RPS, built-in MCP support, semantic caching, governance, and zero-config startup. Written in

TL;DR Every token your LLM consumes costs money and adds latency. As enterprise AI spending scales past billions, optimizing token usage at the gateway layer has become non-negotiable. This article breaks down how five leading AI gateways, Bifrost, LiteLLM, Kong AI Gateway, Cloudflare AI Gateway, and TensorZero, approach

TL;DR: Claude Code is a powerful agentic coding tool, but it's locked to Anthropic's models by default. Bifrost, an open-source AI gateway by Maxim AI, lets you route Claude Code requests through any LLM provider, including OpenAI, Google Gemini, Mistral, and more. The Claude

TL;DR: Claude Code is a powerful terminal-based coding agent, but managing multiple MCP servers alongside it creates tool sprawl and security gaps. Bifrost, the open-source LLM gateway by Maxim AI, acts as an MCP gateway that centralizes tool connections, governance, and observability for Claude Code. Route all

TL;DR: Claude Code adoption is accelerating across engineering teams, but its token-based pricing can spiral without proper controls. Anthropic's built-in /cost command offers basic visibility, but enterprise teams need more: per-developer budgets, team-level attribution, multi-provider cost tracking, and automated spend enforcement. Bifrost,