SuperCompress
Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.
In-browser AI agent that builds and deploys full-stack apps from a prompt
Bolt.new is StackBlitz's browser-based AI agent that generates, runs, and deploys full-stack web apps using WebContainer technology and Claude models. It is ideal for zero-setup prototyping and shipping apps without a local dev environment.
Bolt.new is StackBlitz's AI app builder built on WebContainers, a technology that runs a full Node.js development environment directly in the browser tab without any backend servers. That means Bolt can generate a React/Vite project, install dependencies, run the dev server, and show you a live preview instantly, all client-side, while an AI agent writes and edits the code in response to your prompts. The platform has grown into a broader stack: Bolt V2 introduced Bolt Cloud with built-in databases, authentication, file storage, edge functions, analytics, and hosting, letting you take a project from prompt to deployed app in one place. Anthropic's Claude models power code generation by default, and a 2026 Microsoft Azure partnership added enterprise procurement, M365 integration, and own-tenant deployment options. Bolt is metered by tokens rather than credits: the free tier includes a monthly token allotment with a daily cap, and paid plans raise the ceiling. It is a strong fit for developers who want an instant, zero-install environment and for non-technical builders who want a live, editable result, though token consumption on large apps can be a real cost consideration.
Bolt.new is StackBlitz's browser-based AI development agent that generates, runs, and deploys full-stack apps with no local setup, powered by WebContainers and Claude. It is a leading vibe-coding tool with a growing cloud platform and enterprise Azure integration.
Bolt.new is a product of StackBlitz, the company behind the WebContainer in-browser runtime long used for online IDEs and sandboxes. StackBlitz raised a $105.5M Series B in January 2025 at roughly a $700M valuation, fueled largely by Bolt's rapid growth.
The company has leaned into AI-assisted app building as its flagship direction, expanding from code generation into a full deploy-and-host platform via Bolt Cloud and enterprise distribution through a Microsoft Azure partnership announced in 2026.
Bolt.new pairs an AI coding agent with a live in-browser Node.js environment, generating React/Vite projects that run and preview instantly. Bolt V2 added Bolt Cloud with databases, authentication, file storage, edge functions, analytics, and hosting.
Claude powers code generation by default. The Azure partnership adds enterprise procurement, Microsoft 365 integration, and own-tenant deployment for organizations with compliance requirements.
Bolt targets developers who want an instant, zero-install environment and non-technical builders who want a live, editable result. It spans indie makers, educators, and increasingly enterprises via Azure.
Developers and builders generating and running apps in-browser.
Individual developers and team leads on Pro/Teams plans; enterprises via Azure.
Front-end engineers and dev-tooling advocates.
Developers and product teams wanting instant, setup-free full-stack prototyping and lightweight deployment.
StackBlitz raised a $105.5M Series B in January 2025 at an approximately $700M valuation; verify the latest figures with the company.
It uses StackBlitz's WebContainer technology, which runs a full Node.js environment inside your browser tab, so code executes client-side with no backend infrastructure.
Bolt.new uses Anthropic's Claude models by default for code generation.
Yes. Bolt Cloud provides databases, authentication, storage, edge functions, and hosting, and you can also export to services like Netlify or GitHub.
It is metered by tokens. The free tier includes a monthly token allotment with a daily cap, and paid plans raise the limits.
Yes for prototyping, since it produces live, editable apps from prompts, though complex features still benefit from developer knowledge.
Side-by-side pages for pricing, features, and best-fit use cases.
Query-aware prompt compression that cuts LLM input tokens by roughly 60% before inference.
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