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 →Tips and Tricks – Use Generators for Memory-Efficient Data Processing
Process large datasets without loading everything into memory using Python generators.
Read more →When AI Becomes the Architect: How Agentic Systems Are Redefining What Software Can Build Itself
🎓 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 →Tips and Tricks – Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
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 →Progressive Web Apps (PWAs) for AI: Offline-First LLM Applications
Progressive Web Apps (PWAs) for AI: Offline-First LLM Applications Expert Guide to Building Offline-Capable AI Applications with Service Workers I’ve built AI applications that work offline, and I can tell you: it’s not just about caching—it’s about rethinking how AI applications work. When users lose connectivity, they shouldn’t lose their work. When they’re on slow […]
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