#system-design

5 posts tagged with #system-design

Every article below is hand-written, technically reviewed, and focused on system-design. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.

Close-up of computer server rack components Developer Tools

PostgreSQL vs MySQL 2026: Updated Data Changes the Answer

PostgreSQL 18 and MySQL 9.7.1 shipped in 2026 with AI-native features, but DB-Engines data shows only one database is still gaining momentum — here's what matters for your next project.

Golden 2026 numerals on a maze-like surface AI and Machine Learning

AI Agent Control Flow: Why Better Prompts Won't Fix Your Broken Agent Architecture [2026]

The most advanced AI agent teams aren't writing better prompts. They're writing better control flow. Here's why that architectural shift changes everything.

a close up of a rack of computer equipment AI and Machine Learning

AI Agent Failure in Production: 5 Patterns That Would Have Prevented the PocketOS Database Disaster [2026]

An AI agent reportedly destroyed a company in 23 minutes by deleting its production database and backups. Here are 5 architectural patterns that prevent autonomous AI agents from becoming existential threats to your infrastructure.

Abstract flowing lines on a dark background AI and Machine Learning

AI Tech Debt: The 3 Types Silently Killing Your LLM App in Production [2026 Framework]

Prompt decay, model drift, and hallucination tax are the three distinct types of AI tech debt accumulating in every LLM-powered production system. Here's a framework to identify, measure, and pay them down.

Abstract flowing lines of purple and white on black Cloud and DevOps

Temporal Workflow Engine: The Reliability Layer Your Distributed System Is Missing [2026 Guide]

Every distributed system eventually needs durable execution. Temporal gives you that without building a fragile state machine from scratch. Here's why it matters and how it actually works.