Bolt.diy
Open-source platform enabling AI-powered full-stack web development using any LLM.
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Случаи на употреба
Prototype Full-Stack Web Apps with AI
Use natural language prompts to scaffold and build full-stack web applications quickly, leveraging your preferred LLM for code generation.
Experiment with Multiple LLMs
Switch between different language models to compare code generation quality and find the best fit for your web development workflow.
Self-Hosted AI Development Environment
Deploy the open-source platform on your own infrastructure to maintain control over data, models, and the development pipeline.
Learn AI-Assisted Coding
Explore how AI can assist in building web apps end-to-end, making it a useful sandbox for developers learning AI-driven development.
Отзиви
Средно от 5 оценки.
Влез, за да оставиш отзив.
Nadia Petrova
Solid for our team
We rolled this out across the team last quarter and it saves real time. The onboarding fits neatly into how we already work, and the core workflow removed a step we used to do by hand. but it has held up under daily use.
Ahmed Saleh
Years in this space
I've evaluated a lot of these over the years. What stands out here is the integrations — handled better than most — and it saves real time. A few rough edges remain is my one real gripe. Worth the time if this is your use case.
Frank Müller
Use it every day
Honestly didn't expect to like it this much. The core workflow is exactly what I needed, and support is responsive. I do wish a few rough edges remain, but I reach for it almost every day now and it just clicks.
Robert Ainsworth
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on the API, and the value for money is strong caught me off guard. Pricing gets steep at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Joanna Kowalski
Compared a few options
Evaluated this against two competitors. Where it wins: the dashboard and it is genuinely easy to set up. Where it lags: pricing gets steep at scale. On balance the feature set — especially the API — justifies the 5 stars for our use case.
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