Why Most RAG Systems Fail in Production: The Hidden Architecture Problems Behind AI SearchJul 13, 2026·17 min read·17
Monolith First, Microservices Later: The Architecture Decision That Saves StartupsJul 7, 2026·4 min read·3
Building a Production RAG Pipeline: Document Processing, Chunking, and Metadata DesignIn the first article, we explored why many RAG systems fail in production and established a key principle: retrieval quality determines answer quality. We also introduced the architecture behind produJul 23, 2026·20 min read·19
Designing a Real-Time Chat System at ScaleMost developers underestimate how difficult messaging systems actually are. A basic chat demo with WebSockets can be built in a few hours. A production-grade messaging platform like WhatsApp, TelegramJun 15, 2026·9 min read·56
CI/CD for Modern Applications: from manual deployments to reliable delivery pipelinesCI/CD isn't just automation — it's a system for controlling risk in software delivery. This practical guide shows how to design reliable pipelines for frontend (React/Next.js) and backend systems, incJun 10, 2026·7 min read·16
Real-Time Notification Systems Are Harder Than Most Teams Expect (And How to Build Them Right)What you'll learn: Why "just send a WebSocket event" fails in production The exact failure modes and their root causes Concrete patterns for delivery semantics, ordering, and deduplication An operJun 8, 2026·12 min read·115
Why Most AI Products Fail to Build Real Technical MoatsMost AI products don’t fail because the AI is weak. They fail because the product has no moat.May 26, 2026·9 min read·31
Why Good Abstractions Make Debugging Harder in Real-World SystemsGood abstractions help when they reduce the search space and make ownership clear. They make debugging harder when they duplicate state, hide propagation rules, and let several layers stay locally corMay 19, 2026·17 min read
The biggest problem with AI-generated code isn’t bugs. It’s false confidence.There’s a specific type of code that looks correct at a glance, passes review, ships to production, and then slowly starts breaking in ways nobody can explain immediately. AI is extremely good at prodMay 12, 2026·6 min read·14