bolt.diy vs Cursor

Detailed side-by-side comparison to help you choose the right tool

bolt.diy

πŸ”΄Developer

AI App Builders

bolt.diy is the open-source, community-driven fork of Bolt.new from StackBlitz Labs β€” letting developers prompt, run, edit, and deploy full-stack web applications using any LLM they choose (OpenAI, Anthropic, Gemini, DeepSeek, Ollama, Groq, and more) on infrastructure they control.

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Starting Price

Custom

Cursor

πŸ”΄Developer

AI coding assistant

An AI-first code editor with agents, frontier models, cloud agents, and MCP connections.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

Featurebolt.diyCursor
CategoryAI App BuildersAI coding assistant
Pricing Plans225 tiers192 tiers
Starting Price
Key Features
  • β€’ Prompt-based full-stack web application generation
  • β€’ Run, edit, and deploy workflow for web apps
  • β€’ Works with user-selected LLMs
  • β€’ AI code editor with agent requests and Tab completions
  • β€’ Cloud agents plus terminal, Slack, and GitHub workflows
  • β€’ MCPs, skills, hooks, and frontier model access on paid plans

πŸ’‘ Our Take

Choose bolt.diy if your goal is AI-assisted full-stack app generation from prompts inside a Bolt-style workflow. Choose Cursor if you primarily want an AI-enhanced code editor for an existing codebase rather than a dedicated app-builder template.

bolt.diy - Pros & Cons

Pros

  • βœ“Public GitHub template with strong community signal: 19.5k stars and 10.4k forks were visible on the repository page in the 2026-06-15 capture.
  • βœ“Forked from stackblitz/bolt.new, so it targets the same prompt-run-edit-deploy workflow rather than a generic chatbot coding interface.
  • βœ“Designed around user-selected LLMs, which gives technical teams more flexibility than app builders tied to a single model provider.
  • βœ“The repository is public, so developers can inspect the code, fork it, and adapt the implementation to their own infrastructure.
  • βœ“The project shows active development signals with 77 issues and 39 pull requests visible on the GitHub page in the 2026-06-15 capture.
  • βœ“Best suited for developers who want more control over their AI app builder stack than hosted-only products usually allow.

Cons

  • βœ—No hosted product or managed onboarding is visible in the provided website content, so users should expect a developer-led setup process.
  • βœ—The GitHub page shows 77 issues and 39 pull requests, which can mean users may encounter unresolved bugs or fast-moving changes.
  • βœ—Pricing for model usage, hosting, and deployment is not published on the repository page, so total cost depends on the user’s own setup.
  • βœ—Non-technical users may find it harder to use than hosted AI app builders because the primary website is a GitHub repository.
  • βœ—Commercial support, enterprise SLAs, and managed security documentation are not visible in the provided website content.

Cursor - Pros & Cons

Pros

  • βœ“Combines repository context, multi-file edits, commands, cloud agents, and diff review
  • βœ“Several self-serve tiers cover occasional through heavy use
  • βœ“MCP, skills, and hooks connect coding workflows to tools and conventions

Cons

  • βœ—Agent loops and frontier models can add usage charges
  • βœ—Generated code can introduce security, licensing, and architecture defects
  • βœ—Teams must govern privacy, shell execution, MCP access, and large diffs

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