Dashboard
Guides

Languages and Frameworks Supported on Bult.ai

Nursultan

• 2 min read
Languages and Frameworks Supported on Bult.ai

One of the core goals of Bult.ai is to let developers deploy applications without changing their technology stack. Whether you are building a backend API, a web application, or a full-stack service, Bult.ai supports a wide range of popular languages and frameworks through ready-to-use templates or custom configurations.

This flexibility allows teams to move from code to a live service in minutes, without rewriting their project or learning new infrastructure tooling.

Supported Languages and Frameworks

Bult.ai currently supports the following stacks:

Node.js
Express, NestJS, Fastify, Sails

Python
Flask, FastAPI, Django

Go
Gin, Beego

Ruby
Ruby on Rails

Rust
Axum, Rocket

PHP
Laravel, Symfony

Java
Spring Boot

JavaScript and TypeScript Frontend Frameworks
React, Angular, Vue, Nuxt, Remix, SvelteKit, Solid, Astro

Elixir
Phoenix, Phoenix Distillery

Scala
Play Framework

Clojure
Luminus

You can deploy these frameworks using one-click templates or configure them manually if your project has custom requirements.

How Deployment Works

Deploying an application on Bult.ai is intentionally simple.

As an example, here is how you can deploy an Express.js application:

  1. Open the Canvas UI in Bult.ai
  2. Select GitHub Repository
  3. Paste your repository URL, for example
    https://github.com/username/express-app
  4. Choose the branch you want to deploy, such as main
  5. Select a compute size
  6. Click Create

Within minutes, your application will be live with a public URL like:
https://express-app.fin1.bult.app

No manual server setup, CI/CD pipelines, or infrastructure configuration is required.

Templates or Custom Configuration

For many frameworks, Bult.ai provides ready-to-use templates with sensible defaults. These templates handle common setup tasks such as ports, builds, and runtime configuration automatically.

If your project requires more control, you can use custom configuration or bring your own Docker image. This makes Bult.ai suitable both for quick prototypes and for more advanced production workloads.

Build with Any Stack, Deploy with Confidence

By supporting a broad range of languages and frameworks, Bult.ai enables developers to focus on writing code and shipping features instead of managing infrastructure. Whether you are deploying a simple API, a frontend application, or a full-stack system, the workflow remains the same.

Choose your stack. Connect your repository. Deploy.

More frameworks, templates, and runtime improvements are continuously being added as the platform evolves.