bolt.diy vs Cursor
Detailed side-by-side comparison to help you choose the right tool
bolt.diy
π΄DeveloperAI 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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CustomCursor
π΄DeveloperAI coding assistant
An AI-first code editor with agents, frontier models, cloud agents, and MCP connections.
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π‘ 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
- βPublic 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.
- βForked from stackblitz/bolt.new, so it targets the same prompt-run-edit-deploy workflow rather than a generic chatbot coding interface.
- βDesigned around user-selected LLMs, which gives technical teams more flexibility than app builders tied to a single model provider.
- βThe repository is public, so developers can inspect the code, fork it, and adapt the implementation to their own infrastructure.
- βThe project shows active development signals with 77 issues and 39 pull requests visible on the GitHub page in the 2026-06-15 capture.
- βBest suited for developers who want more control over their AI app builder stack than hosted-only products usually allow.
Cons
- βNo hosted product or managed onboarding is visible in the provided website content, so users should expect a developer-led setup process.
- βThe GitHub page shows 77 issues and 39 pull requests, which can mean users may encounter unresolved bugs or fast-moving changes.
- βPricing for model usage, hosting, and deployment is not published on the repository page, so total cost depends on the userβs own setup.
- βNon-technical users may find it harder to use than hosted AI app builders because the primary website is a GitHub repository.
- βCommercial support, enterprise SLAs, and managed security documentation are not visible in the provided website content.
Cursor - Pros & Cons
Pros
- βCombines repository context, multi-file edits, commands, cloud agents, and diff review
- βSeveral self-serve tiers cover occasional through heavy use
- βMCP, skills, and hooks connect coding workflows to tools and conventions
Cons
- βAgent loops and frontier models can add usage charges
- βGenerated code can introduce security, licensing, and architecture defects
- βTeams must govern privacy, shell execution, MCP access, and large diffs
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