Currently viewing the human version
Switch to AI version

Why Your Builds Keep Breaking (And It's Not Always Your Fault)

JAMstack builds fail for the dumbest reasons. You'll push the exact same code that worked yesterday, and suddenly Vercel throws a SIGKILL at your face like you personally offended its mother.

Vercel Platform

The Real Build Nightmare

Here's the thing nobody tells you: JAMstack moved all the heavy lifting to build time. Your server used to handle image resizing and API calls at runtime, but now everything happens in a tiny container with limited memory and a ticking clock.

Vercel gives you 8GB of memory to work with. Netlify's even more stingy at 1GB for functions. Sounds like a lot until you realize that Node.js eats memory like crazy, Sharp wants to process 200 images simultaneously, and TypeScript decides it needs to compile your entire codebase from scratch.

I've seen builds fail because:

  • Someone added one too many high-res images to a Gatsby site
  • npm decided to install a slightly different version of some random dependency
  • Sharp couldn't figure out what architecture it was running on
  • Next.js tried to generate 5000 static pages and ran out of juice
  • TypeScript hit some mysterious memory limit during compilation

The Most Common Ways Your Build Dies

Memory Exhaustion (Exit Code 137)
Your build just... stops. No warning, no helpful error message. Just dead. The logs show "SIGKILL" and you're left wondering what the hell happened. Node ate all 8GB of RAM and the system's OOM killer terminated it with extreme prejudice. Exit code 137 means SIGKILL - the system basically said "fuck you, you're dead."

I've debugged this exact scenario at 3am more times than I care to count. Last month, I spent an entire Saturday morning debugging a client's product catalog site that worked perfectly on Thursday but suddenly started dying Friday afternoon. Turns out the marketing team had uploaded 50 new high-res product photos (each like 8MB) and Sharp tried to process them all simultaneously during the Next.js build. Memory went boom at exactly 8.1GB.

Dependency Hell
"Module not found" errors that only happen in production. Your local build works perfectly, but the moment you push to production, Node can't find some package that's definitely installed.

This happens because your package-lock.json is out of sync, or because you're running Node 18.2.0 locally but production is using 18.1.0, and some native dependency loses its mind over the version mismatch.

Environment Variable Fuckups
You forgot to set an environment variable in production. Your build fails because it can't connect to your database or API during static generation. The error message is usually something unhelpful like "Cannot read property 'data' of undefined."

Memory Usage Chart

Sharp Having an Existential Crisis
Sharp is great for image processing, but it's also the source of 90% of my build headaches. It fails with cryptic errors like "Could not load the 'sharp' module" or just randomly decides it doesn't understand JPEG files today.

The worst part? Sharp errors are platform-specific. Your M1 Mac works fine, but the Linux build container loses its fucking mind.

What Actually Works When Your Build Dies

When Node Runs Out of Memory and Dies

Give Node More Memory (The Nuclear Option)

First thing to try when you get Exit Code 137:

## This magic number prevents Node from committing suicide
NODE_OPTIONS=\"--max-old-space-size=6144\"

For Vercel, update your package.json build command:

{
  \"scripts\": {
    \"build\": \"NODE_OPTIONS='--max-old-space-size=6144' next build\"
  }
}

6GB should be enough for most builds. If it's not, you've got bigger problems than just memory allocation.

Upgrade to Vercel Pro (When You're Desperate)

Vercel Pro gives you 16GB and 8 CPUs instead of the standard 8GB. Costs money, but sometimes you just need to throw hardware at the problem.

Go to your project settings, find "Build & Development Settings," and enable enhanced builds. Your wallet will hate you, but your builds might actually work.

Bundle Analysis

Find What's Eating All Your Memory

Install webpack-bundle-analyzer and see what the hell is so big:

## Shows you which packages are memory hogs
npm install --save-dev webpack-bundle-analyzer

Add this to package.json:

{
  \"scripts\": {
    \"analyze\": \"cross-env ANALYZE=true next build\"
  }
}

Run npm run analyze and look for anything over 250KB. That's probably your problem. I've seen builds die because someone imported the entire Moment.js library instead of just the date formatting function they needed.

When Dependencies Explode

Make Sure Your Lock File Isn't Fucked

Your package-lock.json needs to be committed and up-to-date. I've seen builds fail because someone deleted the lock file and npm installed different versions of everything.

If your build works locally but fails in production, it's usually because the production environment is installing different package versions than your local machine. This is why you commit the lock file - to prevent this exact headache.

Pin Your Node Version (Or Suffer)

Put this in .nvmrc:

18.17.0

And this in package.json:

{
  \"engines\": {
    \"node\": \"18.17.0\",
    \"npm\": \"9.6.7\"
  }
}

Don't use >=18.0.0 or some vague version range. Pick one specific version and stick with it. Native dependencies will break if Node versions don't match exactly between local and production.

Fix Sharp When It Inevitably Breaks

Sharp always breaks. Always. Here's the command I copy-paste when it happens:

## Force Sharp to install Linux binaries for production
npm install sharp --platform=linux --arch=x64

Or if that doesn't work, force a specific version in package.json:

{
  \"overrides\": {
    \"sharp\": \"^0.32.6\"
  }
}

Sharp breaks because it's a native dependency and build environments use different architectures than your dev machine. This forces it to use the right binaries. I keep this command bookmarked because I end up using it every few weeks when Sharp decides to have another breakdown.

Last time this happened, I was deploying a photography portfolio site at 11pm (because deadlines). Local build worked perfect on my M1 MacBook, but Vercel's Linux containers kept failing with "Could not load the 'sharp' module". Spent 90 minutes trying different approaches before I remembered this stupid platform-specific install command. Fixed it instantly.

Image Processing

Environment Variables (Because You'll Forget One)

Separate Build-Time vs Runtime Variables

Next.js variables that start with NEXT_PUBLIC_ are included in the client bundle. Everything else stays server-side:

## This gets bundled into the client JavaScript
NEXT_PUBLIC_API_URL=https://api.example.com

## This stays on the server during build
DATABASE_URL=postgresql://user:pass@localhost:5432/db

If your build fails with API errors, you probably forgot to set a build-time variable.

Use Different .env Files

Create these files:

  • .env.local - Your personal dev overrides
  • .env.production - Production values
  • .env.staging - Staging values

Never commit .env.local to git. Your teammates don't need your personal database credentials.

Don't Commit Secrets (Obviously)

Set environment variables in your platform dashboard:

  • Vercel: Project Settings → Environment Variables
  • Netlify: Site Settings → Build & Deploy → Environment Variables

If you commit a secret to git, you're fucked. Even if you delete it in the next commit, it's still in git history.

When Build Cache Goes Bad

Clear Everything and Start Over

Sometimes the build cache gets corrupted and causes weird failures. Nuclear option:

## Vercel: Force a clean build
vercel --force

## Netlify: Go to the dashboard and click \"Clear cache and deploy site\"

GitHub Actions Cache (If You're Using It)

## Cache your node_modules so builds don't take forever
- name: Cache dependencies
  uses: actions/cache@v3
  with:
    path: ~/.npm
    key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}

If your GitHub Actions builds start failing randomly, delete the cache. Go to your repo settings and clear the Actions cache.

How to Stop This Shit From Happening Again

Watch Your Builds Before They Explode

Set Up Alerts That Actually Matter

Development Workflow

Vercel has build monitoring that tracks memory usage and build times.

Turn it on so you know when your builds start getting fat and slow.

Watch these metrics or you'll be debugging at 3am:

  • Memory usage creeping up toward 8GB
  • Build times getting longer than 10 minutes
  • Bundle size growing without you noticing

Use Lighthouse CI (If You Want to Be Fancy)

Set up Lighthouse CI to catch performance regressions before they kill your builds:

## This will fail your build if your site gets too slow
- name:

 Run Lighthouse CI
  uses: treosh/lighthouse-ci-action@v9
  with:
    configPath: './lighthouserc.json'

Configure performance budgets:

{
  "ci": {
    "assert": {
      "assertions": {
        "total-byte-weight": ["error", {"maxNumericValue": 512000}]
      }
    }
  }
}

If your bundle gets too big, Lighthouse will fail the build.

Better to catch it early than debug memory issues later.

Keep Your Dependencies From Going Insane

Run npm audit Weekly (Or Suffer)

Dependencies change constantly and break randomly.

Set a calendar reminder:

## Run this every week or dependencies will bite you
npm audit --audit-level moderate
npm outdated

npm audit will tell you which packages have security vulnerabilities. npm outdated shows what's gotten old and crusty.

Automate Bundle Analysis

Add bundle analysis to your CI so you know when someone imports the entire lodash library:

// webpack.config.js 
- This shows what's bloating your bundle
const BundleAnalyzerPlugin = require('webpack-bundle-analyzer').

BundleAnalyzerPlugin;

module.exports = {
  plugins: [
    process.env.

ANALYZE && new BundleAnalyzerPlugin({
      analyzerMode: 'static',
      openAnalyzer: false,
      reportFilename: 'bundle-report.html'
    })
  ].filter(Boolean)
};

Set size limits that fail the build:

- name:

 Check bundle size
  run: |
    npm run build
    bundlesize check  # This fails if bundles get too big

Make Your Environments Match (Or Cry Later)

Lighthouse Performance Monitoring

Use Docker for Consistent Builds

Local builds work, production fails?

Your environments don't match. Use Docker:

## This ensures everyone uses the same Node version
FROM node:
18.17.0-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .

RUN npm run build

Plan Your Resource Usage

Different apps need different amounts of memory. Here's what I've learned from getting woken up at 3am:

App Type Memory Usually Needed Build Time (If Lucky) What Always Breaks
Simple Next.js Around 3GB, maybe 4GB if lots of images 3-5 minutes Image optimization, Sharp being a pain
Big e-commerce 6-8GB (sometimes more) 10-15 minutes Too many product pages, memory leaks
Gatsby blog 4-6GB 15-20 minutes GraphQL trying to load everything at once
Complex React app 4-8GB 5-12 minutes Webpack bundling massive dependencies

Validate Environment Variables

You'll forget to set an environment variable and spend 2 hours wondering why your API calls fail:

// This fails fast if you forget environment variables
const required

EnvVars = [
  'NEXT_PUBLIC_API_URL',
  'DATABASE_URL',
  'JWT_SECRET'
];

requiredEnvVars.forEach(envVar => {
  if (!process.env[envVar]) {
    throw new Error(`You forgot to set ${envVar}, dumbass`);
  }
});

Build a Deployment Pipeline That Works

Test Everything Before Production

Your deployment pipeline should catch problems before they hit production:

  1. Pre-commit hooks
  • Catch obvious mistakes early
  1. Build validation
  • Make sure it actually compiles
  1. Integration tests
  • Verify APIs still work
  1. Performance tests
  • Catch regressions

Docker Logo

Have a Rollback Plan

When (not if) your deployment breaks, you need a way to undo it quickly:

## This rolls back automatically if health checks fail
deploy:
  steps:

- name:

 Deploy to staging
      run: vercel --env staging
    
- name:

 Run health checks
      run: npm run health-check
    
- name:

 Deploy to production
      if: success()
      run: vercel --prod
    
- name:

 Rollback if it's fucked
      if: failure()
      run: vercel rollback

Monitor Build Errors

Set up error monitoring so you know when builds start failing:

// Sentry will tell you when builds break
import * as Sentry from '@sentry/nextjs';

Sentry.init({
  dsn: process.env.

SENTRY_DSN,
  environment: process.env.NODE_ENV
});

The key is catching problems before they become 3am emergencies. Your future self will thank you.

The Questions You Ask at 3am When Your Build Dies

Q

My build just died with "Exit Code 137" - what the hell happened?

A

Your build ran out of memory and the system killed it. This is probably the most frustrating error because there's no useful error message - just death.

What actually works: Throw more memory at Node.js: NODE_OPTIONS="--max-old-space-size=6144". If you're on Vercel Pro, enable enhanced builds for 16GB. If it still fails, you've got bigger problems than memory.

I've debugged this exact error at 2am when trying to deploy a client's e-commerce site. Turns out they had 500 high-res product images and Sharp tried to process them all simultaneously. Memory goes boom.

Q

"Module not found" but it's definitely installed - why does production hate me?

A

Your local environment is lying to you. The production build environment is installing different package versions than your local machine.

What actually works: Check that your package-lock.json is committed and not ignored in git. Make sure your Node.js versions match exactly between local and production. Use .nvmrc and pin specific versions in package.json.

I spent 4 hours debugging this once. The package worked locally but failed in production. Turns out my teammate was using Node 18.1.0 and I was using 18.2.0, and some native dependency didn't like the mismatch.

Q

Sharp broke again with "Could not load the 'sharp' module" - how do I fix this recurring nightmare?

A

Sharp always breaks. It's a native dependency and different architectures hate each other. Your M1 Mac works fine, but the Linux build container throws a tantrum.

What actually works: Force platform-specific installation: npm install sharp --platform=linux --arch=x64. Or override the version in package.json. I keep this command bookmarked because I use it every few weeks.

Q

My build takes 15 minutes and sometimes just times out - what's eating all the time?

A

Your bundle is probably huge, or you're processing too much shit at build time.

What actually works: Use webpack-bundle-analyzer to see what's bloating your bundle. Look for anything over 250KB. Enable code splitting. If you're using Gatsby with thousands of pages, consider incremental builds.

Pro tip: I've seen builds fail because someone imported the entire lodash library instead of just the functions they needed. That's an extra 70KB that gets processed at build time.

Q

Works locally, fails in production - this is driving me insane

A

Environment mismatch. Your local machine is not the same as the production build container.

What actually works: Use Docker to match environments exactly. Check that all your environment variables are set in production. Make sure you're not relying on global packages that exist locally but not in production.

The most embarrassing bug I ever shipped: my local machine had ImageMagick installed globally, and my build script was calling it directly. Production didn't have it, builds failed silently.

Q

My API calls during build time hit rate limits and everything breaks

A

You're fetching too much data too fast during static generation.

What actually works: Add delays between API calls. Use incremental static regeneration (ISR) instead of regenerating everything. Cache API responses during development so you're not hammering the API constantly.

I learned this when building a news site that fetched 1000 articles at build time. The API started rejecting requests after 100, and the build would fail halfway through.

Q

Builds fail randomly with no error message - what kind of bullshit is this?

A

Intermittent failures usually mean resource contention or corrupted cache.

What actually works: Clear your build cache: vercel --force for Vercel, or use Netlify's "Clear cache and deploy" button. Update your dependencies - sometimes old packages have race conditions.

Q

TypeScript works locally but fails during CI builds

A

TypeScript compilation in CI might have different memory limits or configuration.

What actually works: Make sure your tsconfig.json is committed. Increase TypeScript memory: TYPESCRIPT_HEAP_SIZE=8192. Sometimes TypeScript in CI is more strict than your local IDE.

Q

I keep forgetting environment variables and builds fail - how do I stop being an idiot?

A

You're human. Environment variables are easy to forget.

What actually works: Add validation to your build script that checks for required env vars and fails fast. Use different .env files for different environments. Never commit secrets to git.

Q

My monorepo builds are a clusterfuck - help

A

Monorepos are complex and dependency management gets weird.

What actually works: Use pnpm or yarn workspaces. Make sure your build order is correct. Isolate build environments so packages don't contaminate each other.

Q

Gatsby's GraphQL layer exploded during build

A

Your data source is probably unavailable or the schema changed.

What actually works: Add fallback data for when sources are down. Use Gatsby's schema customization to handle changing data structures. Check that your CMS or API is actually reachable from the build environment.

Q

Image processing is eating all my memory and build time

A

Images are memory hogs, especially if you're processing hundreds of them.

What actually works: Resize images before processing. Use modern formats like WebP with fallbacks. Consider external services like Cloudinary if you're processing massive amounts of images.

Q

npm audit is failing my builds because of security vulnerabilities

A

Security policies are blocking vulnerable dependencies.

What actually works: Run npm audit regularly and fix vulnerabilities promptly. Use automated tools like Dependabot. Sometimes you need to accept risk for dependencies that don't have fixes yet.

Q

My build works on main branch but fails on feature branches

A

Branch-specific issues are usually environment or dependency related.

What actually works: Compare package.json between branches. Check if your CI/CD configuration is different for different branches. Make sure environment variables are configured for all branches that need them.

Resources That Actually Help When You're Stuck

Related Tools & Recommendations

integration
Recommended

Supabase + Next.js + Stripe: How to Actually Make This Work

The least broken way to handle auth and payments (until it isn't)

Supabase
/integration/supabase-nextjs-stripe-authentication/customer-auth-payment-flow
100%
pricing
Recommended

Got Hit With a $3k Vercel Bill Last Month: Real Platform Costs

These platforms will fuck your budget when you least expect it

Vercel
/pricing/vercel-vs-netlify-vs-cloudflare-pages/complete-pricing-breakdown
99%
compare
Recommended

I Tested Every Heroku Alternative So You Don't Have To

Vercel, Railway, Render, and Fly.io - Which one won't bankrupt you?

Vercel
/compare/vercel/railway/render/fly/deployment-platforms-comparison
82%
compare
Recommended

Which Static Site Generator Won't Make You Hate Your Life

Just use fucking Astro. Next.js if you actually need server shit. Gatsby is dead - seriously, stop asking.

Astro
/compare/astro/nextjs/gatsby/static-generation-performance-benchmark
79%
integration
Recommended

GitOps Integration Hell: Docker + Kubernetes + ArgoCD + Prometheus

How to Wire Together the Modern DevOps Stack Without Losing Your Sanity

docker
/integration/docker-kubernetes-argocd-prometheus/gitops-workflow-integration
70%
integration
Recommended

Stop Stripe from Destroying Your Serverless Performance

Cold starts are killing your payments, webhooks are timing out randomly, and your users think your checkout is broken. Here's how to fix the mess.

Stripe
/integration/stripe-nextjs-app-router/serverless-performance-optimization
63%
pricing
Recommended

What Enterprise Platform Pricing Actually Looks Like When the Sales Gloves Come Off

Vercel, Netlify, and Cloudflare Pages: The Real Costs Behind the Marketing Bullshit

Vercel
/pricing/vercel-netlify-cloudflare-enterprise-comparison/enterprise-cost-analysis
61%
tool
Recommended

Netlify - The Platform That Actually Works

Push to GitHub, site goes live in 30 seconds. No Docker hell, no server SSH bullshit, no 47-step deployment guides that break halfway through.

Netlify
/tool/netlify/overview
61%
pricing
Recommended

Edge Computing's Dirty Little Billing Secrets

The gotchas, surprise charges, and "wait, what the fuck?" moments that'll wreck your budget

vercel
/pricing/cloudflare-aws-vercel/hidden-costs-billing-gotchas
61%
review
Recommended

Railway vs Render vs Fly.io vs Vercel: Which One Won't Fuck You Over?

After way too much platform hopping

Railway
/review/deployment-platforms-railway-render-flyio-vercel/enterprise-migration-decision-framework
58%
alternatives
Recommended

Fast React Alternatives That Don't Suck

compatible with React

React
/alternatives/react/performance-critical-alternatives
53%
integration
Recommended

Stripe Terminal React Native Production Integration Guide

Don't Let Beta Software Ruin Your Weekend: A Reality Check for Card Reader Integration

Stripe Terminal
/integration/stripe-terminal-react-native/production-deployment-guide
53%
howto
Recommended

Converting Angular to React: What Actually Happens When You Migrate

Based on 3 failed attempts and 1 that worked

Angular
/howto/convert-angular-app-react/complete-migration-guide
53%
tool
Recommended

GitLab CI/CD - The Platform That Does Everything (Usually)

CI/CD, security scanning, and project management in one place - when it works, it's great

GitLab CI/CD
/tool/gitlab-ci-cd/overview
46%
review
Recommended

Which JavaScript Runtime Won't Make You Hate Your Life

Two years of runtime fuckery later, here's the truth nobody tells you

Bun
/review/bun-nodejs-deno-comparison/production-readiness-assessment
46%
integration
Recommended

Build Trading Bots That Actually Work - IB API Integration That Won't Ruin Your Weekend

TWS Socket API vs REST API - Which One Won't Break at 3AM

Interactive Brokers API
/integration/interactive-brokers-nodejs/overview
46%
compare
Recommended

Bun vs Deno vs Node.js: Which Runtime Won't Ruin Your Weekend

depends on Bun

Bun
/compare/bun/deno/nodejs/performance-battle
46%
tool
Recommended

Cloudflare Pages - Why I'm Done Recommending It

Cloudflare basically told us to stop using Pages and switch to Workers. Cool, thanks for wasting 2 years of my life.

Cloudflare Pages
/tool/cloudflare-pages/overview
45%
tool
Recommended

AWS Amplify - Amazon's Attempt to Make Fullstack Development Not Suck

alternative to AWS Amplify

AWS Amplify
/tool/aws-amplify/overview
45%
compare
Recommended

Supabase vs Firebase vs AWS Amplify vs Appwrite: Stop Picking Wrong

Every Backend Platform Sucks Differently - Here's How to Pick Your Preferred Hell

Supabase
/compare/supabase/firebase/aws-amplify/appwrite/developer-experience-comparison
45%

Recommendations combine user behavior, content similarity, research intelligence, and SEO optimization