After deploying hundreds of ML models to production across startups and enterprises, I’ve learned that model deployment is where most AI projects fail. Not because the models don’t work—but because teams underestimate the engineering complexity of serving predictions reliably at scale. This article shares production-tested deployment patterns from REST APIs to Kubernetes orchestration. 1. The […]
Read more →Search Results for: title
The Server-First Revolution: How React Server Components Changed Everything I Thought I Knew About Frontend Architecture
For eight years, I built React applications the same way everyone else did: render everything on the client, fetch data with useEffect, and watch the bundle size grow with every new feature. Then React Server Components arrived, and I had to unlearn almost everything I thought I knew about frontend architecture. Server Components vs Client […]
Read more →MCP Integration & External Tool Connectivity in Microsoft Agent Framework – Part 9
Connect AI agents to external tools via Model Context Protocol. Learn MCP servers, Microsoft 365 integration, and building custom MCP servers.
Read more →Workflows: Graph-Based Agent Orchestration in Microsoft Agent Framework – Part 6
Build graph-based workflows connecting multiple agents. Learn executors, edges, conditional routing, and checkpointing for complex business processes.
Read more →Tools & Function Calling in Microsoft Agent Framework – Part 4
Deep dive into AI agent tools and function calling. Learn MCP integration, external API patterns, error handling, and tool chaining in Microsoft Agent Framework.
Read more →Building Your First AI Agent with Microsoft Agent Framework (Python) – Part 3
Build a production-ready Research Assistant AI agent using Python. Complete tutorial covering async patterns, @ai_function decorators, multi-turn conversations, and best practices.
Read more →