Desktop File System Access: Electron & Tauri Implementation

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Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
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Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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Desktop File System Access: Electron & Tauri Implementation
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Text editor on Electron freezes for a few seconds when opening a file larger than 50 MB. Users complain about lag when dragging files. The cause is unoptimized IPC and lack of size pre-check. Both frameworks — Electron and Tauri — have their nuances. Let's figure out how to properly implement file system access in a desktop app to avoid such issues.

Problems We Solve

Path traversal — when the renderer sends a path like ../../etc/passwd. In Electron, this is solved by validation on the main process side. In Tauri, by scoping in capabilities/default.json. In one project, we discovered the client was passing absolute paths without validation — fixed it in an hour, but could have lost data. Learn more about Path traversal on Wikipedia.

Inefficient IPC for large files — transferring files over 100 MB via ipcRenderer.invoke blocks the renderer. Solution: use streams or transfer ArrayBuffer via SharedArrayBuffer. Electron now supports MessagePort for transferring large volumes without copying.

Difficulty with change monitoringfs.watch in Node.js is unstable on macOS — it misses events under heavy load. Alternative: polling at 1000 ms intervals or using chokidar with awaitWriteFinish. For Tauri, the tauri-plugin-fs watch uses inotify on Linux and FSEvents on macOS.

How to Ensure File Access Security?

In Electron, all file I/O happens in the main process. The renderer requests operations via IPC. This prevents direct UI attacks. Use contextBridge for isolation — do not export anything from preload except safe methods. In Tauri, the permission model is even stricter: every action (read, write, delete) must be declared in capabilities/default.json. Specify a scope for specific directories: app-data, documents, downloads. Never grant access to the entire file system. With 5+ years of experience and over 100 projects delivered, we guarantee secure implementations.

Example of permission configuration in Tauri
{
  "permissions": [
    "fs:allow-read-text-file",
    "fs:allow-write-text-file",
    "fs:allow-read-dir",
    "fs:allow-watch",
    "fs:scope-app-data-recursive",
    "fs:scope-document-recursive",
    "dialog:allow-open",
    "dialog:allow-save"
  ]
}

Implementation in Electron

The classic approach is a FileSystemService class in the main process. It uses fs/promises and fs for file operations, and dialog for native open/save interfaces. Important: warn the user about files >50 MB to avoid hanging the process. For file lists, use hidden file filtering and sorting: directories first, then alphabetically.

// main/fs-service.js
const fs = require('fs/promises');
const fsSync = require('fs');
const path = require('path');
const { app, dialog } = require('electron');

class FileSystemService {
  async openFileDialog(win, options = {}) {
    const result = await dialog.showOpenDialog(win, {
      properties: ['openFile'],
      filters: options.filters ?? [{ name: 'All Files', extensions: ['*'] }],
      ...options
    });
    if (result.canceled || result.filePaths.length === 0) return null;
    return this.readFile(result.filePaths[0]);
  }

  async openFolderDialog(win) {
    const result = await dialog.showOpenDialog(win, { properties: ['openDirectory'] });
    if (result.canceled) return null;
    return result.filePaths[0];
  }

  async readFile(filePath) {
    const stat = await fs.stat(filePath);
    if (stat.size > 50 * 1024 * 1024) {
      throw new Error(`File too large: ${(stat.size / 1024 / 1024).toFixed(1)} MB`);
    }
    const content = await fs.readFile(filePath, 'utf-8');
    return { path: filePath, name: path.basename(filePath), ext: path.extname(filePath).slice(1), content, size: stat.size, modified: stat.mtimeMs };
  }

  async saveFile(win, content, currentPath = null) {
    let savePath = currentPath;
    if (!savePath) {
      const result = await dialog.showSaveDialog(win, { defaultPath: path.join(app.getPath('documents'), 'untitled.txt') });
      if (result.canceled) return null;
      savePath = result.filePath;
    }
    await fs.writeFile(savePath, content, 'utf-8');
    return savePath;
  }

  async listDirectory(dirPath, options = {}) {
    const entries = await fs.readdir(dirPath, { withFileTypes: true });
    const items = await Promise.all(entries.filter(e => options.showHidden || !e.name.startsWith('.')).map(async (entry) => {
      const fullPath = path.join(dirPath, entry.name);
      let stat;
      try { stat = await fs.stat(fullPath); } catch { return null; }
      return { name: entry.name, path: fullPath, isDirectory: entry.isDirectory(), size: entry.isFile() ? stat.size : 0, modified: stat.mtimeMs, ext: entry.isFile() ? path.extname(entry.name).slice(1) : null };
    }));
    return items.filter(Boolean).sort((a, b) => { if (a.isDirectory !== b.isDirectory) return a.isDirectory ? -1 : 1; return a.name.localeCompare(b.name); });
  }

  async copyDirectory(src, dest) {
    await fs.mkdir(dest, { recursive: true });
    const entries = await fs.readdir(src, { withFileTypes: true });
    await Promise.all(entries.map(entry => {
      const srcPath = path.join(src, entry.name);
      const destPath = path.join(dest, entry.name);
      return entry.isDirectory() ? this.copyDirectory(srcPath, destPath) : fs.copyFile(srcPath, destPath);
    }));
  }

  watchFile(filePath, callback) {
    const watcher = fsSync.watch(filePath, { persistent: false }, (eventType) => callback({ eventType, path: filePath }));
    return () => watcher.close();
  }

  watchDirectory(dirPath, callback) {
    const watcher = fsSync.watch(dirPath, { recursive: true, persistent: false }, (eventType, filename) => {
      if (filename) callback({ eventType, path: path.join(dirPath, filename), filename });
    });
    return () => watcher.close();
  }

  getAppPaths() {
    return { userData: app.getPath('userData'), documents: app.getPath('documents'), downloads: app.getPath('downloads'), temp: app.getPath('temp'), home: app.getPath('home') };
  }
}

module.exports = new FileSystemService();

Drag & drop is implemented by handling the drop event in the renderer with f.path (Electron adds this property). To avoid overloading the main process, pass only metadata via IPC and perform reading on demand.

Implementation in Tauri

Include the plugins tauri-plugin-fs and tauri-plugin-dialog. All file operations require explicit permissions in capabilities/default.json.

# src-tauri/Cargo.toml
[dependencies]
tauri-plugin-fs = "2"
tauri-plugin-dialog = "2"

Example of reading and writing:

// renderer/api/fs.ts
import { readTextFile, writeTextFile, BaseDirectory } from '@tauri-apps/plugin-fs';
import { open, save } from '@tauri-apps/plugin-dialog';

export async function openAndReadFile() {
  const selected = await open({ multiple: false });
  if (!selected) return null;
  const content = await readTextFile(selected as string);
  return { path: selected as string, content };
}

export async function saveToFile(content: string, currentPath?: string) {
  const filePath = currentPath ?? await save({ filters: [{ name: 'Text', extensions: ['txt'] }] });
  if (!filePath) return null;
  await writeTextFile(filePath as string, content);
  return filePath;
}

For binary files, use readFile and writeFile from the same plugin — they work with Uint8Array.

Why Tauri is Faster Than Electron?

Tauri compiles a binary with Rust and uses the system WebView rather than embedded Chromium. App size is 2-3 times smaller, and memory consumption is up to 70% lower. However, Tauri requires declaring all operations in capabilities, which makes the code safer but increases setup time slightly.

Comparison of Electron and Tauri for File Access

Characteristic Electron Tauri
API Node.js fs (full access) tauri-plugin-fs (scoped)
Security Requires explicit process separation Built-in permission model
App Size >100 MB (includes Chromium) <10 MB
Performance Medium (due to Chromium) High (native code)
Binary files via Buffer and ArrayBuffer via Uint8Array, conversion
File monitoring fs.watch / fs.watchFile tauri-plugin-fs watch
Cross-platform Windows, macOS, Linux Windows, macOS, Linux (iOS, Android in development)

Process and Scope of Work

  1. Analysis — We study your current app, file access requirements, identify vulnerabilities. We create a data flow map.
  2. Design — We develop an IPC or permissions scheme, select libraries, design an API.
  3. Implementation — We write code with unit testing (jest for Node.js, vitest for Tauri). We use the Repository pattern to isolate business logic.
  4. Testing — We test with real files (up to 10 GB), simulate path traversal attacks, test on Windows, macOS, Linux.
  5. Deployment — We build binaries, configure auto-update, document the API.

We use Electron 28+, Tauri 2, TypeScript, ESLint, Prettier, Husky.

Case: For one startup, we implemented a file manager on Electron capable of opening files up to 4 GB without freezing. The solution — chunked transfer via IPC with a progress bar and on-demand abort. Load time for a 500 MB file decreased from 12 to 3 seconds (a 75% reduction). Request an audit of your app and we'll identify vulnerabilities in one day. Get an estimate from $500 for a basic setup.

Estimated Timelines

Stage Time
Analysis and design 1 day
Basic access (read/write/dialogs) 2-3 days
Monitoring and binary files 1-2 days
Testing and debugging 1-2 days
Integration into existing project from 1 day

Cost is calculated individually. Contact us for a consultation. Order custom file access development and we'll estimate your project in one day.

Frontend Development with React: From Audit to Production

Bundle grew to 3.1 MB gzip — that's a real figure from a project that came to us for an audit. The cause: moment.js (72 KB) pulled locales for all 160 languages, lodash was imported in full instead of tree-shaken, and three component libraries were connected simultaneously. TTFB was excellent, but TTI on mobile was 14 seconds. Users left, conversion dropped by 40%. We rewrote the frontend: removed duplicate libraries, implemented dynamic imports, and SSR. Result: bundle reduced to 850 KB gzip, TTI to 2.1 seconds, LCP to 1.8 s.

Frontend is not about "drawing prettily". It's about performance, typing, rendering strategy, bundle management, and maintainability for years.

Why is Next.js the Standard Choice for SEO?

React is our primary UI framework for complex interfaces. Next.js is the standard choice for projects with SEO requirements or SSR. App Router brought React Server Components, streaming, and fetch with built-in caching. Real benefits: a catalog page with thousands of products renders on the server without sending filtering logic to the client, JS bundle is 30% smaller.

But App Router is a different way of thinking. "use client" must be placed consciously. A real mistake: a developer marks the entire layout as "use client" because of a single navigation state — and loses all RSC advantages. Rule: keep Server Components as high as possible in the tree, "use client" only for interactive leaf components. ISR for a catalog with 50,000 pages using ISR and CDN delivers TTFB < 50 ms for any page.

How Does TypeScript Prevent Bugs in Production?

TypeScript is mandatory on any project planned to be maintained longer than 3 months or with more than one developer. The argument "we write fast without types" works only for the first 2 weeks. After that, bugs related to undefined values appear every week.

Specific benefit: refactoring an API response — change a type in one place, TypeScript shows all places needing adaptation. Without types, a production bug appears in a week. strict: true in tsconfig.json is mandatory. noImplicitAny, strictNullChecks, strictFunctionTypes. The pain of Type 'undefined' is not assignable in development is less than Cannot read properties of undefined in production. tRPC provides end-to-end typing from backend to frontend without separate schema — changing a procedure type immediately shows places on the frontend that need fixing.

Vue 3 + Nuxt 3 — An Alternative SSR Stack

Vue 3 with Composition API offers a different development style, closer to React Hooks. <script setup> and composables make code more reusable. Nuxt 3 is a framework for Vue with SSR/SSG, similar to Next.js. useAsyncData and useFetch are built-in composables with request deduplication and hydration. Auto-imports are convenient but can confuse during debugging. Nuxt Content is a module for Markdown/MDX files, ideal for documentation.

Hydration mismatch is a specific pain of SSR in Vue and React. Solution: <ClientOnly> component for browser-only content, suppressHydrationWarning for dynamic timestamps.

Performance: Metrics and Tools

Bundle analysis is the starting point. @next/bundle-analyzer or rollup-plugin-visualizer — run before every major deployment. Goal: no page should require > 200 KB JS gzip for first paint.

Dynamic imports for heavy components:

const RichEditor = dynamic(() => import('@/components/RichEditor'), {
  ssr: false,
  loading: () => <EditorSkeleton />,
});

Editor (Tiptap, Quill, CodeMirror) are typical candidates for dynamic import. Without this, they end up in the main bundle. React DevTools Profiler for finding unnecessary re-renders. React.memo, useMemo, useCallback are targeted tools. Premature memoization of everything adds overhead without benefit. Profile first, optimize later.

Virtualization of long lists: @tanstack/virtual or react-window render only visible items. Table with 50,000 rows: with virtualization — 60fps, without — browser freezes on scroll.

State Management: Without Overengineering

For most applications, it's enough to have:

  • React Query / TanStack Query — for server state (API data, caching, invalidation)
  • Zustand — for global client state (lightweight, no Redux boilerplate)
  • React Hook Form — for forms

Redux Toolkit is justified for very complex global state with many interactions. For most tasks, it's overkill. Recoil, Jotai — atomic approaches for independent pieces of state.

How to Choose the Right CSS and Design System?

Tailwind CSS latest version is our standard choice for new projects. Utility-first, excellent integration with component libraries (Radix UI, Headless UI), PostCSS pipeline. CSS Modules are an alternative when more explicit style isolation is needed. Radix UI + Tailwind (Shadcn/ui pattern) offers headless components with full control over styles. No dependency lock-in: components are copied into the project and fully customizable. Storybook is used for documenting the component library.

React DevTools Profiler — the official tool from the React team.

Testing

Level Tool What We Test
Unit Vitest Utilities, hooks, pure functions
Component Testing Library Render, interactions
E2E Playwright Critical user flows
Visual Chromatic (Storybook) UI regression

E2E tests via Playwright — for checkout, authentication, critical forms. Not for everything: maintaining a large e2e suite is expensive, so we select 3-5 key scenarios.

What's Included in the Scope (Deliverables)

Every frontend project we deliver includes:

  • Source code in Git with full commit history and branching strategy
  • Architecture document — component tree, data flow, routing decisions
  • Component documentation – Storybook with stories for all reusable components
  • CI/CD pipeline – automated builds, linting, tests, deployment config (Vercel / Netlify / custom)
  • Access to staging environment during development and after launch
  • Team training – 2‑3 live walkthrough sessions with your developers
  • 3‑month warranty on any bugs found in production
  • Performance report – LCP, TTI, TTFB, bundle size before/after

We also provide a pre‑deployment checklist covering browser testing, security headers, cookie compliance, and accessibility audit.

Estimates and Scope

Task Timeline
SPA (dashboard, CRM interface) 8–16 weeks
Next.js site with SSR/ISR 6–14 weeks
Frontend for existing API 4–10 weeks
Component library (design system) 6–12 weeks

Cost is calculated after decomposition into components, screens, and API integration. We use N+1 estimation: add 20% for risks.

What Does a Typical Performance Audit Reveal?

A recent e‑commerce project had LCP of 4.2 seconds and a monthly cloud bill of $3,000. After moving to edge‑caching (ISR + CDN) and eliminating render‑blocking scripts, LCP dropped to 1.1 seconds, and the bill fell to $1,800. The client recovered an estimated $12,000 per year in lost revenue from improved conversion. That's the kind of before‑after we regularly deliver.

Comparing tools: Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. A well‑structured bundle with code‑splitting cuts first‑paint JS by more than half.

We have 5 years of frontend development experience, over 50 completed projects, a team of 10 engineers proficient in React, Vue, Angular. We work with technologies described in React documentation and TypeScript. Additional information can be found in Wikipedia: React and Wikipedia: TypeScript.

What Stack to Choose for Frontend Development with React?

We compare tools by real metrics. Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. Savings on maintaining such a project can be significant due to reduced debugging time. If you need a lightweight SPA with minimal cost, React + Vite is enough. For a content site with SEO, Next.js with ISR gives TTFB below 50 ms even with 50,000 pages.

Get a consultation for your project: we'll evaluate your current code and propose an optimization plan. Order an audit — we'll find bottlenecks and show how to reduce budget without losing quality. Contact us to start the discussion.