System design interviews often focus on theoretical complexity, but how do Senior Engineers at GitHub actually approach scaling? In this episode, Bassem Dghaidi breaks down how to think about system design when real business impact is on the line. We discuss why "simple is complicated enough," the dangers of premature scaling, and why vertical scaling often beats complex distributed systems. If you want to bridge the gap between theory and practice, and understand how to design software that actually serves the business, this conversation is for you. In this episode, we cover: - The "Order of Magnitude" rule for scaling systems - Why GitHub often runs millions of requests on simple architecture - How to communicate technical constraints to non-technical stakeholders - Why 90% of Bassem's code is now written by AI agents Connect with Bassem Dghaidi: https://www.linkedin.com/in/bassemdghaidy Timestamps: 00:00:00 - Intro 00:00:48 - Theory vs. Practice in System Design 00:02:06 - The Startup That Almost Failed via Kubernetes 00:03:33 - How GitHub Scales (It's Simpler Than You Think) 00:05:20 - The Underrated Power of Vertical Scaling 00:08:23 - Why Big Tech Interviews for Scale You Don't Need Yet 00:10:39 - Software Evolves, It Isn't Just "Built" 00:11:53 - Only Design for the Next Order of Magnitude 00:15:39 - Stop Building Generic Frameworks 00:18:17 - "Hacking" the System Design Interview 00:21:29 - Translating Tech Problems to Business Risks 00:27:37 - Layoffs & Engineering Efficiency 00:29:41 - Proving Your Impact with Numbers 00:31:00 - Professional Engineering vs. Hobby Coding 00:32:19 - "Simple is Complicated Enough" 00:35:03 - The Rise of AI Coding (The Motorcycle Analogy) 00:37:30 - "90% of My Code is Written by AI Agents" 00:41:04 - How to Become a Great Engineer #SystemDesign #SoftwareEngineering #GitHub
