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Supported AI models on Workik
GPT 5.2 Codex, GPT 5.2, GPT 5.1 Codex, GPT 5.1, GPT 5 Mini, GPT 5
Gemini 3.1 Pro, Gemini 3 Flash, Gemini 3 Pro, Gemini 2.5 Pro
Claude 4.6 sonnet, Claude 4.5 Sonnet, Claude 4.5 Haiku, Claude 4 Sonnet
Deepseek Reasoner, Deepseek Chat, Deepseek R1(High)
Grok 4.1 Fast, Grok 4, Grok Code Fast 1
Models availability might vary based on your plan on Workik
Features
Scaffold Applications
Generate a clean Electron project with main, renderer, preload layers wired correctly using AI.
Define Secure IPC
AI helps create typed IPC channels, preload APIs, and isolated bridges without exposing Node.
Set Up Build Tooling
Configure Vite or Webpack builds with hot reload, optimized bundles, and process separation using AI.
Harden App Security
Apply Electron security best practices with AI enforcing CSP, context isolation, and safe defaults.
How it works
Create your Workik account in seconds using email or manually and access your workspace immediately.
Connect GitHub, GitLab, Azure DevOps, or Bitbucket repositories. Add Electron project details such as framework, boilerplate style, and tooling preferences for precise AI-generated scaffolds.
Generate Electron boilerplates, configure build systems, define IPC patterns, refactor code, or scaffold complete app structures using Workik’s AI-driven guidance.
Invite teammates to contribute in shared workspaces. Automate repetitive Electron tasks using Workik pipelines for faster delivery.
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TESTIMONIALS
Real Stories, Real Results with Workik
"Workik AI read our GitHub context and produced a Vite-based Electron boilerplate that fit our architecture exactly."
Daniel Koenig
Full-Stack Developer
"AI helped me clean messy IPC handlers, fix circular imports, and restructure the renderer. I learned faster and shipped sooner."
Priya Deshmukh
Junior Software Developer
"Workik AI set up CSP rules, safe preload APIs, and secure renderer settings correctly on the first pass. It saved hours of review time."
Lena Rausch
Application Security Engineer
What are the most common use cases for Workik AI Electron Boilerplate Generator?
Workik AI supports a variety of Electron boilerplate workflows. Most developers commonly use it to:
* Generate multi-window Electron app scaffolds for dashboards and internal tools.
* Build React, Vue, or Angular Electron UIs with Vite or Webpack preconfigured.
* Create secure, typed IPC and preload APIs for safe main-renderer communication.
* Add background processes or Node integrations for heavy or system-level tasks.
* Set up cross-platform packaging for Windows, macOS, and Linux.
* Configure auto-updates, versioning, and release workflows.
* Migrate or modernize existing Electron applications.
* Prototype desktop features like tray menus or notifications faster.
What types of context can I add to Workik AI Electron Boilerplate Generator?
Yes. Workik AI uses the provided context to align with your folder structure, TypeScript rules, build tooling, and architectural patterns, generating boilerplates that fit naturally into your existing Electron codebase. You can include any of the following context:
* Code repositories from GitHub, GitLab, or Bitbucket
* Framework preferences (React, Vue, Angular, TypeScript)
* Build tool choices (Vite, Webpack, electron-builder, Forge)
* Existing folder structures or architectural patterns
* API contracts, shared types, or IPC conventions
* Database schema or local storage patterns
* Any Electron-specific requirements like multi-window logic, preload rules, or security models
Can AI help migrate or modernize existing Electron applications?
Yes. Workik AI can adapt web apps or legacy Electron projects into modern Electron architectures. It generates preload scripts, replaces browser-unsafe APIs, restructures routing, improves IPC patterns, and upgrades build systems like Webpack to Vite or JavaScript to TypeScript. This reduces migration risk and modernization effort significantly.
How does AI help with IPC (Inter-Process Communication) best practices?
AI generates secure, typed IPC bridges using preload scripts, isolated worlds, and narrow-scoped APIs. It suggests patterns like request/response or event-driven handlers, adds TypeScript contracts for both main and renderer, and prevents unsafe exposure of Node APIs which will solve one of Electron’s biggest challenges with clean, maintainable code.
Can AI help optimize the performance of my Electron Boilerplate?
Yes. AI surfaces heavy modules, suggests background or worker offloading, improves build configuration, and restructures imports to reduce startup time and runtime overhead. This is especially useful for Electron apps that load large libraries or perform system-level tasks.
Does the AI help with build, packaging, and release workflows?
Absolutely. The AI can configure electron-builder or Forge, generate cross-platform build scripts, set up CI/CD pipelines, prepare auto-update endpoints, create signing placeholders, and produce optimized build artifacts (DMG, EXE, AppImage). It gives you a ready-to-ship environment instead of just a dev template.
Generate Code For Free
Electron Boilerplate Question & Answer
An Electron Boilerplate is a pre-configured project template designed to streamline the development of cross-platform desktop applications using JavaScript, TypeScript, HTML, and CSS. It sets up essential components such as the Electron main process, renderer process, preload scripts, build tools (like Vite or Webpack), folder structure, and security defaults.
Popular frameworks, tools, and libraries in Electron Boilerplate development include:
UI Frameworks & Frontend Tools:
React, Vue, Angular, Svelte, TailwindCSS, React Router
Build & Bundling:
Vite, Webpack, SWC, esbuild
IPC & Native Integrations:
Electron IPC, electron-store, systeminformation, node-pty
Automated Packaging & Updates:
electron-builder, Electron Forge, electron-packager, electron-updater
Testing & Debugging:
Jest, Playwright, Spectron (legacy), Vitest
Security & Hardening:
Context Isolation, Content Security Policy (CSP), preload scripts, sandboxing
State Management & Data:
Redux, Zustand, Jotai, SQLite, LowDB
Popular use cases for Electron Boilerplates include:
Cross-Platform Desktop Apps:
Create Windows, macOS, and Linux desktop applications with shared UI and logic across platforms.
Developer Tools:
Build editors, terminal emulators, CLI wrappers, system utilities, and database GUI clients.
Productivity & Workflow Apps:
Develop note-taking tools, project managers, file explorers, timers, or workspace applications.
Real-Time Interfaces:
Build dashboards, monitoring tools, or streaming data interfaces using Electron + WebSockets/IPC.
Internal Enterprise Tools:
Package internal web apps as secure desktop clients with controlled environments and native integrations.
Migration Projects:
Convert existing web apps into Electron desktop versions without rewriting the entire frontend.
Native Feature Extensions:
Integrate OS-level features like notifications, tray menus, global shortcuts, and filesystem access with minimal setup.
Career opportunities for Electron developers include Electron Desktop Application Developer, Full-Stack JavaScript/TypeScript Engineer, Frontend Developer (React/Vue) with Electron expertise, Cross-Platform Desktop Software Engineer, Developer Tools Engineer, UI/UX Engineer for Desktop Applications, Systems Integration Engineer, Open-Source Maintainer for Desktop Frameworks, Build & Release Engineer for cross-platform distributions.
Workik AI supports a wide range of Electron Boilerplate and desktop app development tasks, including:
Code Generation:
Generate main-process logic, preload scripts, typed IPC handlers, renderer components, and secure Electron API wrappers.
Debugging Assistance:
Detect and fix IPC wiring issues, preload execution errors, context isolation leaks, and Electron build or runtime crashes.
Build & Packaging Automation:
Configure Vite or Webpack builds, generate electron-builder or Forge pipelines, set up auto-updates, and prepare CI/CD-ready release workflows.
Security Hardening:
Recommend CSP rules, sandboxing settings, safe preload patterns, and Node.js isolation techniques.
Feature Development:
Add file system utilities, authentication flows, multi-window setups, tray/menu modules, background workers, or OS-level integrations.
Migration Support:
Transform an existing web app into a desktop app by generating Electron wrappers, routing adjustments, secure bridges, and environment configs.
Optimization:
Suggest refactors for performance, memory usage, asset bundling, lazy loading, and main/renderer separation.
Testing:
Generate Jest/Playwright test suites for renderer UI, IPC handlers, and app lifecycle events.
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