Apr 13 · 2 min read · Most developers approach AI integration by just "plugging in the API." It works for a demo, but the moment you move to production, you hit three walls: Cost, Latency, and Reliability. I recently open-
Join discussion
Apr 8 · 16 min read · { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is event-driven architecture in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Event-dri...
Join discussion
Apr 4 · 4 min read · But real systems don’t fail in code — they fail in communication. So I decided to build a production-style event-driven system from scratch… and break it until I truly understood it. 🧠 What I Built
Join discussion
Apr 3 · 18 min read · When people say "file upload," they often mean a simple PUT to S3 and a database row. In a hobby project, that's fine. In production, it’s a liability. Production-grade file processing requires answer
Join discussion
Apr 2 · 20 min read · Most software teams are not struggling because software is inherently chaotic. They are struggling because they are paying enormous amounts of money to keep the wrong machine barely usable. That sound
Join discussion
Apr 1 · 5 min read · Choosing between event-driven and request-driven architecture for scalable systems System architecture decisions made in the early stages often determine whether your application gracefully handles growth or collapses under increasing load. The choic...
Join discussion
Mar 28 · 5 min read · Data pipelines often depend on new data appearing somewhere in the system. In many environments the traditional solution is scheduling: a pipeline runs every hour or every day and checks whether new f
Join discussion
