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Bolt.new vs GitHub Spark

Stanley Ulili
Updated on August 1, 2025

Looking to turn your app concept into a working reality but unsure which AI development platform to choose? In a rapidly evolving tech landscape, two standout tools are redefining the way we build software.

Bolt.new positions itself as an all-in-one full-stack development solution, featuring an AI-powered browser IDE that simplifies creating, editing, and deploying web applications with advanced WebContainers technology.

On the other hand, GitHub Spark champions ease of use by enabling you to craft micro-applications through natural language input, making coding unnecessary for many users.

This guide will help you find the platform that best matches your project goals and technical needs.

What is Bolt.new?

Bolt.new browser-based IDE showing AI-powered code generation with live preview and deployment capabilities

Bolt.new is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required.

The platform integrates cutting-edge AI models with an in-browser development environment powered by StackBlitz's WebContainers. This allows you to install and run npm tools and libraries (like Vite, Next.js, and more) while providing complete control over the entire development lifecycle.

Its standout feature is WebContainers—the first WebAssembly-based micro operating system which boots entire development environments in milliseconds, securely within your browser tab. Unlike traditional cloud IDEs that stream from remote servers, Bolt.new runs everything locally in your browser for superior performance and security.

Key capabilities include:

  • AI-powered full-stack development: Generate complete applications with frontend, backend, and database integration
  • Browser-based IDE: Visual Studio Code-style editor with full development environment
  • One-click deployment: Integrated deployment to Netlify, Vercel, and other platforms
  • Token-based pricing: Pay-as-you-use model with transparent cost control
  • Framework flexibility: Support for React, Vue, Next.js, Svelte, and 50+ JavaScript frameworks

What is GitHub Spark?

GitHub Spark showcases Microsoft's exciting new venture into "vibe coding" — a user-friendly platform that turns simple English descriptions into fully functioning micro-applications in just minutes.

It’s an AI-powered tool designed to help you create and share small apps, called "sparks," which can be customized to suit your needs and preferences perfectly. Plus, they're easy to access from both your desktop and mobile devices.

It was inspired by the Unix philosophy, emphasizing simplicity and focus. Each app does one thing well and serves a specific purpose, highlighting that "micro" refers to the scope of features, not the app's value.

Spark's core components include:

  • Natural language editor: Describe your app idea in plain English and watch it come to life
  • Managed runtime environment: Automatic hosting, data storage, and PWA deployment
  • Model selection: Choose from Claude Sonnet 3.5, GPT-4o, o1-preview, and o1-mini
  • Revision variants: Generate 3-6 different versions of your request for exploration
  • GitHub integration: Automatic version control and enterprise-grade security

Bolt.new vs GitHub Spark: Essential comparison

The fundamental distinction between these platforms lies in their development philosophy, technical depth, and target user sophistication.

Feature Bolt.new GitHub Spark
Platform Type Full-stack AI development environment AI-native micro-app builder
Development Philosophy Professional IDE with AI assistance Natural language-first, app-centric
Technical Scope Complete full-stack applications Focused micro-applications
AI Models Claude Sonnet 3.5, GPT-4o Claude Sonnet 3.5, GPT-4o, o1-preview, o1-mini
Code Ownership Full source code access and export Platform-managed with optional code access
Development Environment VS Code-style IDE with WebContainers Natural language editor with previews
Framework Support 50+ JavaScript frameworks TypeScript/React (expanding)
Database Solutions Full database integration (PostgreSQL, etc.) Managed key-value storage
Deployment Options Multiple providers + custom domains PWA deployment with GitHub hosting
Version Control Git integration + manual backups Automatic GitHub repository + history
Collaboration Model Real-time IDE collaboration Share and remix micro applications
Enterprise Features Team plans, private repos, advanced deployment GitHub enterprise integration
Pricing Model Token-based ($20-200/month) Included with GitHub Copilot Pro+ ($39/month)
Learning Curve Moderate, benefits from development knowledge Minimal for basic app creation
Mobile Development Expo integration for mobile apps Native PWA with offline support
Third-party Integrations Extensive API and service integrations GitHub Models + limited external services

Development philosophy and user experience

Let's start by exploring their development philosophies, as the main difference between these platforms isn't just about features; it really comes down to their unique approaches to crafting software and supporting developers.

Bolt.new: The professional development powerhouse

Bolt.new WebContainers environment showing full-stack development with npm packages and real-time preview

Bolt.new follows a traditional development approach enhanced by AI. You still work with actual code, files, and project structures, but AI accelerates every step. The philosophy is "build real applications faster" rather than abstracting away the development process.

When you ask for a feature, you get to see and modify the actual implementation. You can dive into the code, understand how it works, and make manual adjustments. This appeals to developers who want to maintain control while leveraging AI for speed.

GitHub Spark: Effortless micro-application factory

GitHub Spark PWA dashboard showing spark management with model selection and revision variants

Spark takes a fundamentally different approach: describe what you want, and get a working app without touching code. The philosophy is "apps should be as easy to create as documents." You don't think in terms of databases, APIs, or frameworks.

Instead, you focus on user experience and functionality. Want a habit tracker? Describe how it should work. Need an expense splitter? Explain the behavior you want. Spark handles all technical implementation behind the scenes.

Verdict: Bolt.new wins if you want control and learning opportunities. GitHub Spark excels for non-technical users who just want working apps without complexity.

AI models and capabilities

Next, we're going to examine the AI models that drive each platform and how they impact development quality and flexibility.

Bolt.new: Advanced AI integration with professional focus

Screenshot of Bolt AI modes

Bolt.new uses Claude Sonnet 4 from Anthropic for advanced code generation, architectural choices, and debugging help. The platform also includes Discussion Mode that uses Gemini 2.5 Flash with search grounding for project insights without code generation.

Discussion mode features:

  • Project context awareness: Every discussion includes your entire codebase for context-aware responses
  • Search grounding: Pulls real-time information from trusted sources like Google Search for up-to-date answers
  • Quick action buttons: Switch back to Build Mode to implement discussed solutions
  • Token efficiency: Reduces token usage by avoiding code generation during planning discussions

GitHub Spark: Superior model variety and selection

GitHub Spark model picker interface showing Claude Sonnet 3.5, GPT-4o, o1-preview, and o1-mini options with history tracking

Spark provides exceptional AI model flexibility with four distinct options: Claude Sonnet 3.5, GPT-4o, o1-preview, and o1-mini. Each model serves different purposes—Claude Sonnet 3.5 for creative applications, GPT-4o for reliable general development, o1-preview for complex reasoning, and o1-mini for rapid iterations.

Verdict: GitHub Spark leads with a wider range of models and better experimentation options.

Development environment and workspace

The development environment fundamentally shapes productivity, collaboration capabilities, and the overall building experience.

Bolt.new: Comprehensive browser-based IDE

Bolt.new WebContainers IDE showing VS Code interface with terminal, file explorer, and live preview

Bolt.new integrates cutting-edge AI models with an in-browser development environment powered by StackBlitz's WebContainers. This allows you to install and run npm tools and libraries. At the same time, WebContainers act as the first WebAssembly-based micro operating system, which boots entire development environments in milliseconds, securely within your browser tab.

The workspace provides a complete development experience including:

  • Professional IDE interface: VS Code-style editor with syntax highlighting, autocomplete, and debugging
  • Integrated terminal: Full command-line access for npm commands, git operations, and custom scripts
  • Live preview: Real-time application preview with hot reloading
  • File management: Complete filesystem access with project organization
  • Package management: Install any npm package with full Node.js compatibility

GitHub Spark: Streamlined app-centric dashboard

GitHub Spark PWA interface showing micro-app management with mobile-first design and instant deployment

Spark provides a PWA-enabled dashboard for managing micro-applications from anywhere. The managed runtime handles hosting, data storage, and deployment automatically with interactive previews and automatic history.

The interface focuses on application usage over development complexity, featuring:

  • Natural language editor: Describe features and watch them materialize instantly
  • Interactive previews: Real-time app updates as you refine requirements
  • Code visibility: Optional access to view and understand the generated source code
  • Automatic infrastructure: No server management or deployment configuration required

Verdict: Bolt.new provides comprehensive IDE features, WebContainers technology, professional collaboration tools, and complete development control essential for serious software projects.

Version control and project management

Platform approaches to version control, project history, and rollback capabilities directly impact development confidence and project safety.

Bolt.new: Advanced backup and rollback system

Bolt.new backup interface showing automatic snapshots, manual backups, and GitHub integration options

Bolt.new provides comprehensive backup and version management with multiple safety nets for project preservation. Bolt creates automatic backups of your project every time you send a message. You can use these to restore from backup, ensuring no work is ever lost during development iterations.

Professional version control features:

  • Automatic snapshots: Every AI interaction creates a restorable checkpoint
  • Manual backups: Download projects or sync to GitHub for external backup
  • Rollback capability: In your project, scroll back up through the chat to the message point that you want to restore your project to. Click Revert
  • GitHub integration: Full repository sync with commit history and branch management
  • Export options: Complete project export for local development or external hosting

GitHub Spark: Seamless automatic History

Screenshot of GitHub Spark's automatic history showing revision timeline

As you iterate on a spark, every revision is automatically saved and can be restored in a single click. This allows you to explore ideas (and variants) without worrying about losing any progress. And more importantly, without requiring you to manage version control yourself. This enables a sort of "curiosity-driven development".

Automatic project management:

  • Effortless history tracking: Every change automatically preserved without user intervention
  • Semantic view source: History provides a form of "semantic view source" whenever someone shares a spark with you. While creating GitHub Spark, we found that we'd naturally share new ideas with each other, and then immediately look at the history to see how they made it
  • Model attribution: Track which AI model created each revision for optimization insights
  • GitHub repository creation: Automatic repository creation with commit tracking

Verdict: GitHub Spark leads with superior GitHub integration and automatic version control.

Third-Party integrations and ecosystem

Integration capabilities determine your application's potential for real-world functionality and business viability.

Bolt.new: Comprehensive integration ecosystem

Bolt.new integrations showing automatic service detection for Stripe, Supabase, Netlify, and authentication providers

Bolt.new allows you to install packages, run backends and edit the code. The cool thing is that you can install NPM packages, configure backends, and integrate databases like Supabase. This flexibility allows you build production-ready apps without leaving the platform.

Extensive integration support:

  • Database Services: PostgreSQL, Supabase, Firebase, and custom database connections
  • Payment Processing: Stripe integration for e-commerce and subscription functionality
  • Authentication: OAuth providers, Firebase Auth, and custom authentication systems
  • Deployment Platforms: Bolt new simplifies deployment with integrated support for Netlify, Vercel, and custom hosting
  • API Integrations: REST APIs, GraphQL endpoints, and webhook implementations
  • NPM Ecosystem: Access to entire Node.js package ecosystem for unlimited functionality

GitHub Spark: Curated GitHub ecosystem

GitHub Spark integration

The GitHub Spark runtime is integrated with GitHub Models and allows you to add generative AI features to your sparks without any knowledge of LLMs (e.g., summarizing a document, generating stories for a children's bedtime app).

GitHub-centric integration:

  • GitHub models: Built-in AI capabilities for content generation and intelligent features
  • GitHub authentication: Seamless user authentication through GitHub accounts
  • Repository integration: Automatic code versioning and collaboration features
  • Enterprise security: GitHub's enterprise-grade security and compliance infrastructure

Verdict: GitHub Spark leads with seamless, enterprise-grade integration.

Deployment and hosting options

Deployment flexibility determines how and where your applications can reach users in production environments.

Bolt.new: Multi-Platform deployment freedom

Bolt.new relies on established hosting providers, emphasizing flexibility and control for application deployment.

Its main integration with Netlify enables quick publishing, automated builds, and domain management. Users can also download projects for deployment on any hosting service, set up custom domains, or connect existing ones. Additionally, Expo allows building native mobile apps. Supported deployment options include Vercel, AWS, or any Node.js host.

However, Bolt.new doesn't include hosting itself, requiring third-party services, which can add complexity and costs. The Netlify integration can't host traditional backends or databases, necessitating manual setup for custom hosting, with extra monthly fees outside the Bolt subscription.

GitHub Spark: Streamlined PWA Deployment

When creating or revising a Spark, the modifications are automatically deployed and can be executed and installed on your desktop, tablet, or mobile device (via a PWA).

In this context, GitHub Spark functions as a miniature application cloud, consolidating the processes of creating, deploying, and utilizing software into a single action: articulating your ideas through natural language.

Verdict: Bolt.new wins with deployment flexibility and professional options, but can be annoying if you want to quickly deploy simple apps. GitHub Spark excels in instant publishing over deployment control

Pricing and value models

Understanding the complete cost structure helps optimize the development approach and budget allocation.

Bolt.new: Flexible token-based pricing

Bolt.new pricing tiers showing free tier, Pro plans, and token consumption tracking

Bolt.new operates on a transparent token-based system where you pay for actual AI usage. The platform offers multiple tiers to accommodate different development needs and usage patterns.

Pricing Structure:

  • Free tier ($0): 1M tokens monthly, 150K daily limit, public and private projects, 10MB file uploads
  • Pro ($20/month): 10M tokens monthly, no daily limits, 100MB file uploads, token rollover benefits
  • Teams ($30/user/month): Everything in Pro plus centralized billing, team access management, private NPM registry support
  • Enterprise (custom): Advanced security, SSO, compliance support, dedicated account management, custom pricing

GitHub Spark: All-inclusive subscription

GitHub Spark pricing showing integration with GitHub Copilot Pro+ subscription and included features

Spark operates on an all-inclusive subscription model bundled exclusively with GitHub Copilot Pro+ at $39/month ($390/year), providing comprehensive development tools and AI capabilities in a single package.

Complete package benefits:

  • 375 spark messages monthly: Generous allowance for micro-app development
  • 10 active building sessions: Simultaneous app development projects
  • Unlimited app creation: No limits on number of applications built
  • Complete infrastructure: Development and production compute, inference, storage, hosting included
  • Full Copilot Pro+ features: Unlimited code completions, agent mode, coding agent preview, multiple AI models

Verdict: Bolt.new wins with more affordable and flexible pricing. Starting at $20/month compared to Spark's $39/month requirement

Final thoughts

After comprehensive analysis across all key categories, GitHub Spark emerges as the winner for simple micro-applications, while Bolt.new dominates for professional development projects.

GitHub Spark excels with four AI model options, seamless GitHub integration with automatic version control, and effortless deployment with zero configuration. Its enterprise-grade infrastructure and instant PWA deployment make it perfect for rapid prototyping and simple app creation.

However, for professional development, Bolt.new's comprehensive IDE features, extensive third-party integrations, flexible deployment options, and full-stack capabilities provide the control and functionality serious developers need. While it requires more setup complexity, the professional features justify the additional effort.

Choose GitHub Spark for quick micro-apps and prototypes, but select Bolt.new when building production-ready applications that require professional development tools and extensive customization capabilities.

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