Create APIs, scheduled jobs, backend workflows, database CRUD - basically anything you need for your app's backend with BuildShip easily.
Start fast with templates or prebuilt nodes for popular tools, databases, but if anything is missing you can actually create a workflow node using AI by simply asking what you want. Every node is fully editable with AI and code.
Get the EASE of no-code with the POWER of low-code, if needed. Works with all the popular nocode frontend builders like FlutterFlow, Bubble, Webflow, Toddle, BravoStudio, Framer .....
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BuildShip's answer:
You can generate you own workflow nodes, edit the logic of prebuilt nodes, use AI assistant while building workflows. Ship scalably and affordably.
BuildShip's answer:
Flexible and extensible to build your logic the way you want. Don't be black boxed by the platform to limit your ideas.
If you're working on your next big project and you want to save some of your precious time when integrating with third party services such as Twilio, OpenAI, Replicate, Stripe, and much, much more, then BuildShip is the obvious solution. Can't find an integration? That's easy, just generate it with AI.
This is truly a big leap in backend development, from building your backend in hours... to mere minutes! Super easy to use. It's incredibly user-friendly, offering a coding-like experience with the ease of customization in a no-code format! ๐
Easy to integrate with any AI model, popular tools - makes building and automating backend tasks a breeze.
Based on our record, Build LLMs Apps Easily should be more popular than BuildShip. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Flowise is an open-source visual builder designed around LangChain-style agents. If you want to skip code but still go deep, this is it. - Source: dev.to / 3 months ago
Flowise is the drag-and-drop visual builder if you hate wiring JSON manually. - Source: dev.to / 5 months ago
Flowise โ Open-source visual AI process orchestration tool. - Source: dev.to / 7 months ago
Within the building process, in this case, our platform serves as the bridge between Flowise and Qdrant. It provides a unified platform seamlessly integrating both tools by handling all the underlying infrastructure and configuration. Qubinets automates the setup process, from instantiating a cloud environment to syncing Flowise and Qdrant to work together without any manual intervention. - Source: dev.to / 12 months ago
Bit of a controversial opinion (since we are on a programmer's forum) but if you just want to soley focus on the "AI" part and not get bogged down by the code, use a no-code tool like flowise (https://flowiseai.com/). You will create 100x more successful "showcase-able" AI experiments in the same time it'll take to spin up one from scratch - and guaranteed to have a lot more fun doing so! Some inspiration here:... - Source: Hacker News / over 1 year ago
Here is our attempt at Visual Programming: BuildShip[0] Top level layer is a no-code box but you can dig in a level deep to look at the code. You can edit the workflow with nocode or lowcode. AI can help with code gen. Plus connected to your database, tools like S3, Postgres, Firebase, Supabase etc and ships in one click to a Cloud platform like Google Cloud. [0]: https://buildship.com/. - Source: Hacker News / about 1 year ago
Interesting to see the evolution of Visual programming across many tools. We are working on something similar for low-code/no-code devs focusing on creation of APIs, backend tasks, and AI workflows. [0] https://buildship.com. - Source: Hacker News / over 1 year ago
Today, we will show you exactly how to build this BuildShip's ready-made template for a quick start. BuildShip is a low-code visual backend builder powered by AI that lets you build a seemingly complex backend with ease. This template comes with prebuilt steps for removing background from an image, converting the image to black-and-white, and then uploading it to storage for use in the illusion diffusion model... - Source: dev.to / almost 2 years ago
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