After 20 years in enterprise data engineering, I’ve implemented Apache Airflow across healthcare, financial services, and cloud-native architectures. This article shares production-tested patterns for building resilient, scalable data pipelinesโfrom DAG design principles to dynamic task generation strategies that handle thousands of workflows. 1. The Fundamentals: Why Airflow Remains the Standard Apache Airflow has become the […]
Read more โAuthor: Nithin Mohan TK
TypeScript for AI Applications: Type Safety in LLM Integration
TypeScript for AI Applications: Type Safety in LLM Integration Expert Guide to Building Type-Safe AI Applications with TypeScript I’ve built AI applications with and without TypeScript, and I can tell you: type safety isn’t optional for AI applications. When you’re dealing with streaming responses, complex message structures, and dynamic AI outputs, TypeScript catches bugs before […]
Read more โTips and Tricks – Use Generators for Memory-Efficient Data Processing
Process large datasets without loading everything into memory using Python generators.
Read more โWhen AI Becomes the Architect: How Agentic Systems Are Redefining What Software Can Build Itself
๐ AUTHORITY NOTE Based on 20+ years architecting enterprise systems and pioneering implementations of agentic AI in production environments. This represents real-world insights from deploying autonomous systems at scale. Executive Summary The moment I watched an AI system autonomously debug its own code, refactor a function, and then write tests for the changes it made, […]
Read more โTips and Tricks – Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Read more โTools & 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 โ