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Things I Wish I Knew Before Scaling a Frontend Codebase
Introduction: The Growing Pains of a Frontend Codebase Every frontend project starts small and simple—a few components, some state management, maybe a couple of API calls. Fast forward a year, and suddenly: ❌ Code reviews take forever ❌ Making a small UI change breaks unexpected parts of the app ❌ Deployments become stressful, debugging is a nightmare ❌ Onboarding new developers takes weeks I’ve been through multiple frontend projects that hit these exact roadblocks. Looking back, there are things I wish I had done earlier to avoid the mess. In this article, I’ll share 10 key lessons I’ve learned about scaling frontend codebases the hard way. 1️⃣ Keep the Codebase Modular From Day One The mistake: Everything was dumped into a single components/ folder with zero structure. The fix: Organize by feature, not type (e.g., features/dashboard/ instead of components/). Takeaway: A modular codebase scales better, and refactoring later is painful. ✅ Best Practice:
Introduction: The Growing Pains of a Frontend Codebase
Every frontend project starts small and simple—a few components, some state management, maybe a couple of API calls. Fast forward a year, and suddenly:
❌ Code reviews take forever
❌ Making a small UI change breaks unexpected parts of the app
❌ Deployments become stressful, debugging is a nightmare
❌ Onboarding new developers takes weeks
I’ve been through multiple frontend projects that hit these exact roadblocks. Looking back, there are things I wish I had done earlier to avoid the mess.
In this article, I’ll share 10 key lessons I’ve learned about scaling frontend codebases the hard way.
1️⃣ Keep the Codebase Modular From Day One
- The mistake: Everything was dumped into a single components/ folder with zero structure.
-
The fix: Organize by feature, not type (e.g.,
features/dashboard/instead ofcomponents/). - Takeaway: A modular codebase scales better, and refactoring later is painful.
✅ Best Practice:
