Reducing Bundle and Disk Footprint
Shrink your Electron app's installer and disk size by trimming dependencies, using ASAR, and pruning unused files, complementing startup and memory optimization.
Reducing Bundle and Disk Footprint is a free Electron Desktop App Development lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Electron Desktop App Development learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
The Size Problem
Electron apps ship a full Chromium runtime, so they start large. Keeping your code and assets lean is what you can control.
Audit Your Dependencies
Every dependency ships with your app. devDependencies do not. Misplacing a build tool bloats the bundle.
function shipsInApp(dep) {
return dep.type === 'dependency';
}
console.log(shipsInApp({ name: 'lodash', type: 'dependency' }));Prune node_modules
Packagers can run npm prune --production to strip dev packages before bundling.
Use ASAR Archiving
ASAR packs your app files into a single archive, reducing file count and speeding reads.
{
"build": {
"asar": true
}
}Exclude Unneeded Files
Use packager files globs to exclude tests, docs, and source maps from the shipped app.
function include(path) {
return !path.includes('/test/') && !path.endsWith('.map');
}
console.log(include('src/test/spec.js'));Tree-Shake the Renderer
Bundle renderer code with a tool that tree-shakes dead code, and import only what you use.
// good: import only one function
// import { debounce } from 'lodash-es';Prefer Lightweight Libraries
Swap heavy packages for smaller alternatives. A date helper may replace a multi-megabyte library.
Compress Assets
Optimize images and fonts. Use modern formats and subset fonts to only the glyphs you ship.
Native Module Costs
Native modules add platform-specific binaries. Include only the ones you truly need to avoid per-arch bloat.
Measure the Result
Inspect the unpacked app size and installer size before and after changes to confirm real savings.
function deltaMB(before, after) {
return (before - after).toFixed(1) + ' MB saved';
}
console.log(deltaMB(180.4, 142.1));Differential Updates
Smaller bundles also mean smaller delta updates, so users download less on each release.
Quick Check
Test your footprint optimization knowledge.
Recap
You learned to shrink your app: audit and prune dependencies, enable ASAR, exclude unneeded files, tree-shake, compress assets, mind native modules, and measure the savings.
Frequently asked questions
Is the “Reducing Bundle and Disk Footprint” lesson free?
Yes — the full text of “Reducing Bundle and Disk Footprint” is free to read here on the web, and the Electron Desktop App Development course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Electron Desktop App Development course, upgrade to CoddyKit PRO.
What will I learn in “Reducing Bundle and Disk Footprint”?
Shrink your Electron app's installer and disk size by trimming dependencies, using ASAR, and pruning unused files, complementing startup and memory optimization. You practise Electron Desktop App Development with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Electron Desktop App Development?
No prior experience is required. Electron Desktop App Development on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Reducing Bundle and Disk Footprint” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Electron Desktop App Development lesson?
Yes. Every Electron Desktop App Development lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Optimizing Start-up Time
- Memory Management Techniques
- Performance Profiling
- Reducing Bundle and Disk Footprint