MCP vs RAG Compared for Production Teams
MCP doesn't replace RAG. Learn when to use each, how to combine them, and the security and governance patterns production teams actually need.
Drishti Shah
Claude Code best practices for enterprise teams
Claude Code is one of the most widely used AI coding agents today.
But when adoption moves beyond a handful of developers, the operational gaps show up fast. API keys get scattered. Costs spiral without anyone noticing. There's no visibility into who's using what, no guardrails,
Claude Code agents: what they are, how they work, and how to scale them
Claude Code is now the most widely used AI coding agent. We all know what it does. The harder question is what happens when you roll it out across a team of 20, 50, or 200 engineers, each running agentic loops that spawn subagents, call MCP tools, and burn through
How to host an AI Hackathon without losing control of your keys or budget
Running an AI hackathon means providing dozens (or hundreds) of teams with access to expensive LLM APIs while maintaining cost control, fair usage, and visibility into what's happening.
Without proper infrastructure, you risk:
- Budget blowouts: A single runaway script consuming your entire API budget- - - No
The best approach to compare LLM outputs
Once LLMs are in production, output quality stops being a subjective question and becomes an operational one. Teams are no longer asking whether they need to evaluate outputs, but how to do it reliably as systems evolve.
Production systems can change frequently. Prompts are iterated on, models are swapped, routing
OpenAI Responses API vs. Chat Completions vs. Anthropic Messages API
A side-by-side comparison of OpenAI's Chat Completions, Responses API, and Anthropic's Messages API, covering key differences, use cases, and how to avoid vendor lock-in with Portkey.
Introducing the MCP Gateway
Your interns need three approvals to touch production. Your AI agents? Zero.
With MCP, agents can take real action – connect to databases, trigger workflows, access internal systems. The protocol just works.
But here's what we kept hearing from teams actually running MCP in production: "How do I