Building production ETL pipelines for LLM training is complex. After building pipelines processing 100TB+ of data, I’ve learned what works. Here’s the complete guide to building production data pipelines for LLM training. Figure 1: LLM Training Data Pipeline Architecture Why Production ETL Matters for LLM Training LLM training requires massive amounts of clean, processed data: […]
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Testing AI-Powered Frontends: Strategies for LLM Integration Testing
Testing AI-Powered Frontends: Strategies for LLM Integration Testing Expert Guide to Testing AI Applications with Confidence I’ve tested AI applications that handle streaming responses, complex state, and real-time interactions. Testing AI frontends is different from traditional web apps—you’re dealing with non-deterministic outputs, streaming data, and asynchronous operations. But with the right strategies, you can test […]
Read more →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 →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 →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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