Nueva Herramienta de IA de Bolt: Características, Precios y Alternativas

tl;dr: Bolt.new AI Review 2026

What is Bolt.new AI?

Bolt.new is an AI development platform that transforms prompts into websites, apps & prototypes. A Stackblitz product (a browser-based IDE), it integrates AI agents with a live runtime environment to handle everything from frontend UI to backend logic and database setup. Bolt AI is powered by Claude (and other major LLMs), and supports modern frameworks such as React, Node.js, and PostgreSQL.

An interesting aspect of this no-code app builder is that it’s open-source. You can download Bolt.new from its GitHub repo as a standard version[1] or Bolt.diy[2], which offers deeper customization.

Bolt.new Feature List

Bolt.new offers a suite of AI-driven features that let you generate, run, edit, deploy, and manage applications within your browser.

Key features of Bolt AI

2026 features of Bolt AI

In 2026, Bolt.new has been rolling out several upgrades focused on collaboration and design-to-code workflows:

• Team Templates: Turn existing projects into reusable starters to standardize structure and speed up new builds.

• Editable Netlify URLs: Change your published site URL without redeploying or rebuilding.

• Opus 4.6 model upgrade: Choose lighter or deeper AI reasoning to balance speed, cost, and output quality, and save context in claude.md.

• Figma import: Drop Figma designs directly into chat to build with visual reference in real time.

• AI image editing: Edit specific parts of images directly inside the chat interface with Nano Banana.

Bolt v2 features

Released in October 2025, Bolt v2 has marked the shift from experimental vibe coding to enterprise-grade production. Key upgrades include:

• Autonomous debugging that reduces error loops by 98% 

• Support for 1000x larger projects than before

• Automated databases, SEO boosting, and built-in Stripe payments

Techstack of Bolt.new

Bolt.new integrates the latest AI models with StackBlitz’s WebContainers, an in-browser development environment. This gives its AI agents - and in turn its users - control over the entire app lifecycle. Its core stack includes:

• Frontend: React + Tailwind CSS

• Backend: Node.js + Express

• Database: PostgreSQL with Prisma ORM

• Browser Runtime: StackBlitz WebContainers (runs Node & npm in-browser)

What LLM is Bolt.new using?

Primarily Bolt.new has been powered by Anthropic’s Claude 3.5 Sonnet. In 2026, it added Opus 4.6 with adjustable reasoning depth. 

What integrations does Bolt.new support?

While the list of supported integrations and MCP of Bolt AI keeps updating, the major ones are listed below:

• Expo – Mobile app support

• Figma – Import design frames directly

• GitHub – Version control and export

• Google SSO – Authentication

• Lovable – Bring existing projects

• Netlify – One-click hosting

• Stripe – Payments integration

• Supabase – Database and backend services

Pros and Cons of Bolt.new

Bolt.new is strong for rapid ideation and structured prototyping. However, it becomes less predictable as project complexity, scale, and debugging demands increase.

Developer’s Experience with Bolt.new

For a developer, the journey from prompt to production reveals both the brilliance of AI orchestration and also the current limitations of Bolt.new.

Generating an app

Bolt.new handles long, detailed prompts with its AI Enhancer to convert rough ideas into structured technical specifications. It accepts inputs as text, images, Figma files, and GitHub repositories, then scaffolds a full-stack web app in real time.  

Customization & UI control

Customization happens across three layers: prompt-based changes, a visual preview editor, and direct code access inside the browser IDE. Responsive preview modes make it easy to test layouts across devices. However, complex design systems often require manual tweaking. 

Read about the AI Tools for Hi-fi UI Design

Error handling & debugging

Bolt.new provides real-time logs, error detection, and an “Attempt Fix” mode for guided debugging. It resolves minor syntax issues effectively, but deeper framework conflicts or architectural inconsistencies can persist. 

Token consumption during repeated debugging cycles can increase costs.

Publishing & integrations

One-click deployment to .bolt.host simplifies publishing, with built-in integrations for Supabase, Stripe, GitHub, Netlify, and Figma. The AI assists with authentication, database setup, and hosting configuration. 

While simple apps deploy smoothly, larger projects may require manual troubleshooting before going live.

Pro Tip: Create a clean Bolt.new app by first generating an AI wireframe >

Bolt.new Pricing in 2026

Free plan of Bolt.new

Bolt.new offers a free plan. You can just sign up and get started without a credit card. 

• Features: Access to both public and private projects, unlimited databases, and native website hosting.

• Limitations: 300,000 daily token limit and a total of 1 million tokens per month. It also features Bolt branding on hosted websites and a 10MB file upload limit.

• Best for: Beginners, students, and developers working on small-scale experiments or proof-of-concept.

Monthly plans of Bolt.new

For those needing higher limits and professional features, Bolt AI offers several paid tiers billed monthly or yearly.

*Note: On taking a yearly subscription to any Bolt.new plan, you get 10% discount. 

How are tokens counted in Bolt.new

Similar to other AI app builders, the tokens in Bolt AI represent the computational currency used by the AI to generate, debug, and update your code. While there are no specifications on consumption by action, consider that larger projects and complex prompts use more tokens. Unused monthly tokens on paid plans roll over for up to two months as long as the subscription remains active.  

It’s worth noting that some Bolt.new users on Reddit have reported of an opaque token consumption, so it's advisable to keep an eye on the token meter in the dashboard. 

Best use case of Bolt.new 

Bolt.new is strongest when speed matters more than perfection. It shines in early-stage building, rapid experimentation, and situations where you need a working product fast, and refinement is an afterthought.

• Product managers: Test flows, validate features, and align stakeholders before engineering resources are committed.

• Non-tech founders: Launch MVPs, landing pages, dashboards, and even full-stack apps in days. Ideal for validating ideas before hiring a development team.

• Design-dev teams: Use Figma imports and built-in infrastructure to reduce handoff friction and iterate faster.

Alternatives to Bolt.new in 2026

Depending on whether you prioritize design control, full IDE depth, backend scalability, or simple publishing speed, instead of Bolt.new, choose another specialized AI tool.

Banani vs Bolt.new

Banani is a hi-fi AI prototype builder. It can build editable and exportable wireframes from a text prompt, an image/screenshot, or a Figma frame.  

Ideal for: It’s ideal for PMs and non-designer founders who want to lock in an interactive mockup of their idea before involving other team members or developing it.

Why choose Banani over Bolt.new: To have granular control of the UI and also save on spending your Bolt.new tokens on design fine-tuning. 

Want to test AI Prototyping? Start here for free >

Lovable vs Bolt.new

Lovable is an AI-powered app builder focused heavily on design-forward interfaces. It turns prompts into visually polished web apps with strong UI aesthetics and rapid frontend generation.

Ideal for:  Design-conscious builders who prioritize branding, visual appeal, and user experience over backend depth or infrastructure complexity.

Why choose Lovable over Bolt.new: Choose Lovable if UI quality and visual polish matter more than full-stack control.

Explore top Lovable alternatives > 

Replit vs Bolt.new

Replit is a cloud-based IDE with AI-assisted coding (Replit AI) that lets developers write, run, debug, and deploy applications in a full programming environment directly from the browser.

Ideal for: Developers who want full coding control, real-time collaboration, and a traditional IDE experience enhanced with AI assistance.  

Why choose Replit over Bolt.new: If you need deeper manual flexibility and a more stable environment for complex, long-term projects. 

Explore top Replit alternatives > 

v0 by Vercel vs Bolt.new

v0 is an AI UI generator from Vercel that converts prompts into production-ready React components, primarily using modern frontend patterns and Vercel’s ecosystem.

Ideal for: Frontend developers and product teams building with React who want fast, clean UI components that plug directly into existing codebases.

Why choose v0 over Bolt.new: When you want to focus on high-quality frontend components rather than full-stack scaffolding.  

Explore top v0 alternatives >

Windsurf vs Bolt.new

Windsurf is an AI-native coding environment (formerly Codeium’s IDE) designed to help developers write, refactor, and navigate large codebases. 

Ideal for: Developers working on sophisticated production apps who need deep code understanding, long-context reasoning, and AI that operates inside a traditional development workflow. 

Why choose Windsurf over Bolt.new: For complex, long-term projects where you want AI embedded in a full IDE. 

Hostinger Horizons vs Bolt.new

Hostinger Horizons is an AI website and app builder from Hostinger that combines prompt-based generation with built-in hosting and domain management.

Ideal for: Beginners, small businesses, and creators who want a simple way to launch websites or lightweight web apps without handling infrastructure.

Why choose Hostinger Horizons over Bolt.new: If you prioritize quick publishing and minimal technical overhead with seamless hosting.

Cursor vs Bolt.new

Cursor is an AI-powered code editor built on top of VS Code. It embeds large language models directly into a traditional IDE for writing, refactoring, and navigating code.

Ideal for: Developers who already work in full codebases and want AI assistance for editing, debugging, and understanding complex projects.

Why choose Cursor over Bolt.new: Go with Cursor if you prefer building and maintaining apps manually with AI as a co-pilot instead of prompt-first control. 

Verdict: Is Bolt.new worth it?

Bolt.new is undeniably worth it for rapid technical scaffolding. It's powerful and fast at compressing idea-to-deploy cycles dramatically, plus its downloadable open-source codebase is a blessing for pro developers. However, it can be a token guzzler for aesthetic refinement. A more robust design-led process we advise: start with a image-to-wirefrae AI like Banani, lock the UI/UX, then hand off cleanly to development in Bolt. This reduces token waste by leveraging AI developer handoff.

Ready to build with Bolt AI? Start with free wireframe inspirations >

FAQs on Bolt AI for app building

Is Bolt AI free?
Yes. Bolt.new offers a free plan with daily and monthly token limits, allowing you to build and test projects without entering payment details.

How to use Bolt.new for free?
You can use Bolt AI within the free token limits provided each day and month. To further reduce the token cost, you can look for Bolt or Stackblitz promo code online. 

Which is cheaper, Bolt or Lovable?
Since the token/credit count of the two is not directly comparable, the cheaper one between Bolt and Lovable depends on your use case. Still, if we take a $25 account, Lovable seems to offer more value because in its Pro plan, unlike Bolt, it offers unlimited users.

Read how you can further decrease credit usage in Lovable >    

Is Bolt.new available for everyone?
Absolutely. Anyone can sign up on Bolt.new worldwide, and start building an app with AI.

Does Bolt.new support mobile apps?
Yes, Bolt supports mobile app development through integrations like Expo and responsive frameworks such as React.

Can I export my code from Bolt.new?
Of course. Bolt supports the export of the full codebase or syncing with GitHub for local development and external deployment.

What are the most affordable alternatives to Bolt AI?
Affordable alternatives include tools like Lovable and Replit. For design-first prototyping before development, platforms like Banani can also reduce initial build costs.

References

[1] https://github.com/stackblitz/bolt.new/ 
[2]  https://github.com/stackblitz-labs/bolt.diy