MCP vs Function Calling – How They Actually Work Together
Understand the real difference between MCP and function calling. Explore architecture, vendor lock-in issues, security tradeoffs, & when teams should adopt MCP.
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1 Trillion Tokens and the Death of the Chatbot
I recently sat down with Siddharth Ahluwalia on the Neon Show and said a few things I probably shouldn't have.
Most SaaS companies as we know them are on their way to becoming glorified databases.
I meant it. Let me explain why.
btw, here's the podcast:
What Makes Enterprise LLMs Different from General-Purpose AI Tools
What makes enterprise LLMs different from consumer AI? Explore architecture choices, RAG pipelines, security guardrails, and cost control at scale.
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.
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
LLM Deployment Pipeline Explained Step by Step
Everything you need to deploy LLMs in production – inference frameworks, serving layers, scaling strategies, monitoring, and cost management.