Building backend systems that scale requires more than just throwing more servers at a problem. It requires thoughtful architecture, clear abstractions, and a deep understanding of your constraints.

AI agents are moving from research labs to production systems. But deploying agents at scale is fundamentally different from deploying traditional applications. Let me share what we've learned.

Scaling an engineering organization is different from building a small team. The skills that made you successful as an engineer or small team leader don't automatically work at scale.