Bolt.new

Bolt.new is an AI-native development environment built on StackBlitz’s WebContainers that runs a full Node.js toolchain entirely in the browser, so AI agents can read, write, run, and debug your projects end-to-end without any local setup. Users describe what they want in natural language, and Bolt orchestrates models like Anthropic Claude and other top-tier LLMs to scaffold full-stack applications, wire up frontends and backends, configure databases, and iterate on changes in real time. Because everything runs live in the browser, you get instant previews and tight feedback loops as the AI edits your code. The platform is designed for building production-grade websites, apps, and prototypes rather than just code snippets. You can start from a prompt, import designs from tools like Figma or code from GitHub, and have Bolt generate responsive UIs, API endpoints, and data models that you can refine through chat-based collaboration. Bolt understands and maintains context across your entire codebase, enabling deeper refactors, multi-file edits, and automated debugging routines that significantly cut down error cycles on complex projects. Bolt.new supports modern web stacks—commonly React, Tailwind CSS, Node.js, Express, and PostgreSQL—combined with a live runtime and instant hosting so you can see changes immediately on a shareable Bolt URL. Its AI agents can set up routing, authentication flows, database schemas, and even integrations like Stripe payments and SEO optimizations with minimal manual wiring. This makes it particularly attractive for solo founders, indie hackers, and small teams who need to go from idea to working MVP quickly without investing heavily in boilerplate and infrastructure. Beyond single-user workflows, Bolt includes collaboration features that make it feel like a multiplayer Google Docs for code: teams can work together in the same project while AI agents assist everyone inside a shared environment. Token-based pricing on paid plans gives teams predictable access to high-end models for large, ongoing projects, while the free tier lowers the barrier to experimentation. Because Bolt is built on an open-web stack and ties closely to GitHub, you can export projects, self-host where needed, and integrate it into existing development pipelines rather than being locked into a proprietary runtime.

• ✓Rapidly prototyping full-stack SaaS or internal tools from detailed natural language prompts
• ✓Importing Figma designs and generating responsive React frontends that match the design system
• ✓Using AI agents to refactor, modernize, and debug existing Node.js and Express codebases
• ✓Building and deploying marketing or landing sites with SEO tweaks and integrated Stripe payments
• ✓Collaboratively co-editing and iterating on a web app in a shared AI-assisted browser IDE for small teams

Start by signing up or logging in at bolt.new and creating a new project from the dashboard, choosing an appropriate template or starting from scratch in the browser IDE. Describe your target app in detailed natural language—include stack preferences (React, Node, database choice), key pages, data flows, and integrations—so the AI agent can scaffold a suitable full-stack project. Iteratively refine via chat: ask the AI to add features, refactor components, fix specific errors, improve performance, or adjust styling, and always review diffs and run the app using the built-in live preview before accepting large changes. For existing work, import designs from Figma or code from GitHub, then prompt the AI to align the generated code with your design system or refactor legacy modules; keep prompts tightly scoped when making risky changes. Monitor your token usage on the free or Pro plan via the account/billing section, and upgrade plans or purchase additional tokens as needed for large or multi-developer projects.

Heavy AI usage is constrained by token allowances on both free and paid plans, so large or long-running sessions can exhaust your quota and require an upgrade or reload. As with any LLM-based coding tool, generated code can contain bugs, security issues, or architectural decisions that are suboptimal, so manual review, testing, and code quality checks remain essential before shipping to production. The platform is optimized for modern web stacks; developers with highly specialized languages, unusual infrastructure, or non-web runtimes may find support and templates limited. Because everything runs in the browser via WebContainers, very large monorepos, heavy native dependencies, or complex system-level integrations may not work as smoothly as in a local IDE. Policies and pricing can change, and features like specific model availability, token rollover behavior, or enterprise capabilities may differ by plan, so users need to verify current details in the help center and pricing page.