Build Process Overview
Thalyson’s Portfolio uses Next.js with TypeScript and is optimized for production builds with advanced features like Turbopack in development and comprehensive bundle analysis.The project uses Next.js 16+ which includes significant performance improvements and React 19 support.
Build Scripts
The following npm scripts are available inpackage.json:5-11:
Next.js Build Configuration
The build configuration is defined innext.config.ts:1-20:
Key Configuration Features
Image Optimization
Image Optimization
The project configures remote image patterns for Cloudinary, enabling Next.js Image optimization for external images:
- Protocol: HTTPS only for security
- Hostname:
res.cloudinary.comfor CDN-hosted images - Automatic image optimization, resizing, and WebP/AVIF conversion
Bundle Analyzer
Bundle Analyzer
The This generates an interactive visualization of your bundle composition, helping identify optimization opportunities.
@next/bundle-analyzer package is integrated to analyze bundle sizes:Production Optimizations
Next.js automatically applies several production optimizations during the build process:Code Minification
JavaScript and CSS are automatically minified using SWC, Next.js’s Rust-based compiler.
Turbopack: Development vs Production
Development Mode
The project uses Turbopack in development (package.json:6):
- Up to 700x faster updates than Webpack
- Incremental compilation
- Built-in Rust-based bundler
- Faster cold starts
Production Build
Production builds use Next.js’s optimized build system:.next directory with:
- Optimized JavaScript bundles
- Static HTML pages
- Server-side rendering functions
- Build manifest and metadata
Build Output Analysis
After runningnpm run build, you’ll see output like:
Understanding the Output
Route Indicators
Route Indicators
- ○ (Static): Page is pre-rendered at build time
- λ (Server): Server-rendered on each request
- ◐ (ISR): Incremental Static Regeneration
- ◯ (SSG): Static Site Generation with dynamic paths
Size Metrics
Size Metrics
- Size: Individual page JavaScript size
- First Load JS: Total JavaScript loaded on initial page visit
Bundle Size Optimization
Analyze Your Bundle
Optimization Strategies
Image Optimization Best Practices
The project uses Next.js Image component with Cloudinary integration:Code Splitting and Lazy Loading
Automatic Code Splitting
Next.js automatically splits code at the route level. Each page only loads the JavaScript it needs.Manual Code Splitting
Build Troubleshooting
Common Build Errors
Type Errors
Type Errors
Problem: TypeScript compilation errors during buildSolution: Fix type errors in your code or update
tsconfig.json:7 to be less strict temporarily.Module Not Found
Module Not Found
Problem: Cannot find module or dependencySolution: Clear node_modules and reinstall dependencies.
Out of Memory
Out of Memory
Problem: JavaScript heap out of memorySolution: Increase memory allocation or optimize your code to reduce memory usage.
Image Optimization Errors
Image Optimization Errors
Problem: Failed to optimize imagesSolution: Ensure image URLs in
next.config.ts:9-16 match your actual image sources. Verify remote patterns are correctly configured.Environment Variables
Environment Variables
Problem: Environment variables undefined in production
Build Performance Tips
Use SWC Compiler
Next.js uses SWC by default (faster than Babel). Avoid custom Babel configuration unless necessary.
Enable Incremental Builds
TypeScript incremental compilation is enabled in
tsconfig.json:15. This speeds up subsequent builds.Pre-Build Checklist
Before building for production, ensure:- All TypeScript errors are resolved (
npm run lint) - Code is formatted (
npm run format) - Environment variables are configured
- Image sources are properly configured in
next.config.ts - Dependencies are up to date and secure
- Build completes without errors (
npm run build) - Production build runs locally (
npm run build && npm start) - Bundle sizes are acceptable (
ANALYZE=true npm run build)
After a successful build, test the production build locally with
npm start before deploying to catch any issues early.