We support most popular languages and frameworks on Bult.ai with either 1-click templates or custom configs.

Node.js, Python, Go, Java, Rust, PHP, Ruby, modern JS frameworks, and more.

We ve added clear volume usage metrics to give teams better visibility into storage consumption over time.
You can track:
Date and time
Total capacity
Available storage
Actual usage
This helps teams monitor growth, plan capacity, and avoid surprises as applications scale.
More observability improvements coming soon.

We ve improved change tracking in Bult.ai with a Canvas view.

You can now see all uncommitted changes in one place, review what s about to be deployed, approve or discard changes, and roll back when needed. It makes fast iteration safer and deployments more predictable.

You can add any Docker Hardened Image from Docker Hub to Bult.ai and run it as a service in minutes.
Import ML & AI frameworks and stacks like LangChain, TensorFlow, PyTorch, and 500+ others in just a few clicks. No manual infrastructure setup, no complex configuration.

We ve just shipped one of our most requested features: Dark Mode for Bult.ai.

You can now work comfortably day or night with reduced eye strain and the same fast deployment experience.

What s included:
Clean and modern dark UI
Automatic theme switching
Available across the entire platform

You can connect several GitHub accounts at the same time and manage all your repositories and projects in one place. It s especially useful if you work across personal projects, client work, or multiple organizations.

No more logging in and out or switching contexts. Everything stays connected and ready to deploy.

Happy to answer questions or hear feedback.

We ve just published a new n8n tutorial for Bult.ai.

It shows how to deploy n8n on Bult.ai in minutes and build a personal AI assistant connected to Telegram, Gmail, Google Tasks, Google Contacts, and Calendar. The guide covers deployment, importing a ready-made workflow, credentials setup, and testing text and voice prompts.

We just shipped a new feature on Bult.ai that many developers have been asking for.

We added a built-in Terminal, which allows you to access and debug running services directly inside the platform. This makes troubleshooting much faster and removes the need for external tools or custom setup.

If you are deploying microservices, experimenting with templates, or debugging environments, this should make your workflow much smoother.

More improvements are on the way. Happy to answer questions and would love your feedback.