DEV Community: Bult.ai

Deploy OpenClaw AI Agents in Minutes with Bult.ai

Bult.ai — Tue, 21 Apr 2026 12:29:32 +0000

Running AI agents in production usually comes with a lot of overhead. You need to configure infrastructure, manage environments, expose services, and deal with scaling.

We wanted to simplify that.

We’ve added OpenClaw to the Bult.ai template library so you can deploy AI agents in minutes, not hours.

What is OpenClaw?

OpenClaw is a framework for building autonomous AI agents that can execute tasks, interact with external services, and operate with minimal human input.

It’s commonly used for:

automation workflows
AI assistants
task execution agents
integrations with APIs and tools

The Problem

Deploying AI agents is still harder than it should be.

You typically need to:

provision infrastructure
configure runtime environments
manage secrets
expose endpoints
handle scaling and uptime

For many developers, this becomes a bottleneck.

The Solution

With Bult.ai, the deployment layer is abstracted away.

You can now run OpenClaw as a ready-to-use template.

How It Works

The flow is simple:

Connect your GitHub repository
Select the OpenClaw template
Add your API keys
Deploy

That’s it. Your AI agent is live with a public URL.

No manual server setup. No DevOps work.

What Bult.ai Handles

Bult.ai takes care of:

infrastructure provisioning
deployment and runtime setup
SSL and public access
scaling and availability
CI/CD flow

This allows you to focus entirely on your agent logic and prompts.

Why This Matters

We’re moving toward a world where:

AI agents are first-class products
experimentation speed matters more than setup
developers need to ship fast er

The bottleneck is no longer writing code. It’s getting that code into production.

By removing infrastructure complexity, developers can:

test ideas faster
iterate more often
build production-ready AI systems without friction

Who This Is For

This setup is useful for:

indie hackers building AI tools
startups launching AI products
developers experimenting with agents
teams building internal automation

Try It

You can deploy OpenClaw in one click and run your AI agent in the cloud:

https://bult.ai

Create RAG with Bult.ai

Bult.ai — Fri, 20 Feb 2026 10:13:00 +0000

We just released a production ready RAG template project for Bult.ai.

Full step-by-step video tutorial is here: https://youtu.be/CkcVGtiSGDQ?si=Y1X1LP-Aw09g_zIp

Full text tutorial is here: https://docs.bult.ai/tutorials/tutorial-rag

If you want to deploy a serious Retrieval Augmented Generation (RAG) system, this is for you.

What it includes:

• Hybrid search combining BM25 and vector similarity
• Cross encoder reranking for higher precision
• Optional HyDE and multi query retrieval
• Multi model support: OpenAI, Anthropic, Google, Ollama
• OCR for scanned PDFs
• JWT authentication and optional Google OAuth
• Analytics dashboard with usage and latency tracking
• Conversation export to Markdown, JSON, and PDF
• Async background processing with job tracking

You upload documents.
Ask questions.
Get answers with inline citations and source scoring.

It deploys on Bult.ai using:

• GitHub based app service
• PostgreSQL
• pgvector

No Kubernetes. No infrastructure gymnastics.

This template demonstrates how to run production grade AI workloads on a PaaS with full control over architecture.

If you're building AI products and need a strong RAG foundation, fork it and deploy in minutes.

Would love feedback from builders pushing RAG systems to real world scale.

Vibe Coding and the Modern Developer Stack

Bult.ai — Thu, 15 Jan 2026 10:25:14 +0000

Vibe coding is becoming a popular approach for building modern products faster. The idea is simple: remove unnecessary friction between an idea and a live product, and let developers focus on creativity, logic, and experimentation instead of infrastructure overhead.

Instead of spending days setting up servers, pipelines, and configurations, vibe coding relies on a focused stack of tools that accelerate every stage of development.

A Practical Vibe Coding Stack

Below is an example of a developer stack that supports fast iteration and real product delivery.

Frontend and Backend:

Antigravity, Cursor, Claude Code

These tools act as powerful development assistants. They help generate code, explain patterns, and speed up implementation. At the same time, it is important to review implementation plans and understand the logic behind the code being written. Vibe coding works best when speed is paired with understanding.

Databases and RAG

Pinecone

Vector databases and retrieval augmented generation systems make it easier to build AI driven products that work with knowledge, context, and memory at scale.

Cloud and DevOps

Bult.ai

Bult.ai handles deployment, infrastructure, SSL, domains, scaling, and CI CD. This removes one of the biggest bottlenecks in modern development. Developers can push code, deploy services, and go live in minutes without managing servers or complex pipelines.

By abstracting infrastructure complexity, Bult.ai allows teams to focus on product logic, user experience, and experimentation.

LLM Services

OpenAI, Gemini, Hugging Face, Ollama

These services power the intelligence layer of modern applications, enabling chat interfaces, automation, agents, and content generation.

Why This Matters

The core idea behind vibe coding is not cutting corners, but building momentum. When infrastructure stops being a blocker, developers can iterate faster, test ideas earlier, and ship real products instead of prototypes that never reach production.

Less infrastructure pain.
More speed and experimentation.
A faster path from idea to a working product.

This is the direction modern development is moving toward, and stacks built around simplicity and automation are making it possible.

Public URLs and Custom Domains in Bult.ai

Bult.ai — Fri, 09 Jan 2026 12:46:47 +0000

Every project deployed on Bult.ai receives a ready to use public URL that works instantly. For example, a service can be accessed right away at https://blog.fin1.bult.app/

These platform URLs are available by default and require no configuration.

Custom Domains

In addition to default URLs, Bult.ai allows you to manage custom domains directly inside the platform and expose services with branded URLs such as blog.com.

All domain management happens in one place at
app.bult.ai/domains

What You Get

• Branded URLs for your services
• Automatic SSL for both custom and platform domains
• Default public URLs available for every service
• Simple and transparent DNS verification flow

Once a domain is verified, it can be attached to any service in just a few clicks.

From Deploy to Live

With Bult.ai, services go from deployment to a live, secure URL in minutes. Whether you use a platform generated URL or your own domain, the workflow stays simple and predictable.

This makes it easy to ship production ready applications without dealing with certificates, proxies, or manual DNS setups.

Build a Database Service in Minutes with Bult.ai

Bult.ai — Thu, 08 Jan 2026 07:01:37 +0000

Modern applications depend on reliable databases, but setting them up often requires significant infrastructure work. Bult.ai simplifies this process by allowing teams to deploy databases in just a few clicks using the Canvas UI.

Supported Database Templates

Bult.ai provides ready-to-use templates for the most popular databases:

PostgreSQL
Deploy with automated backups and built-in monitoring.

MySQL
Deployed similarly to PostgreSQL.

Redis
Ideal for caching and queue workloads.

MongoDB
One-click deployment.

In addition to built-in templates, Bult.ai supports more than 500 database images from Docker Hub, allowing you to deploy custom or less common databases as services.

Example: Deploying PostgreSQL

To deploy a PostgreSQL database:

Select the PostgreSQL template in the Canvas UI
Choose a compute size, for example XS
Set the volume size, such as 0.5 GB
Click Create

No manual configuration, no server management, and no DevOps setup required.

Databases Without Infrastructure Overhead

With Bult.ai, databases become easy to provision, manage, and scale. This approach allows developers to focus on application logic while the platform handles infrastructure, storage, and reliability.

Languages and Frameworks Supported on Bult.ai

Bult.ai — Tue, 06 Jan 2026 13:26:57 +0000

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:

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

Backup Management Is Now Available in Bult.ai

Bult.ai — Mon, 05 Jan 2026 06:26:11 +0000

Introducing Backup Management in Bult.ai

Data safety is a critical part of running production workloads. As applications grow and become more complex, teams need reliable ways to protect their data and recover quickly when something goes wrong.

To support this, we’ve added backup management to Bult.ai.

This update gives teams more control over how and when their data is backed up, helping reduce risk and increase confidence when operating services in production.

What’s New

Bult.ai now includes built-in tools to manage backups for your services.

You can:

• Enable or disable automatic backups
• Choose a backup schedule that fits your workload
• Create backups manually when needed
• Download backups for external storage
• Restore services from existing backups
• Delete outdated or unnecessary backups

Backups are created while the service is running, ensuring consistency without interrupting your application.

Flexible Backup Scheduling

Automatic backups can be configured with the following intervals:

• Every hour
• Every 6 hours
• Every day
• Every 3 days
• Every week
• Every 2 weeks

This allows you to balance data protection, storage usage, and operational needs depending on how frequently your data changes.

Why This Matters

Without reliable backups, even small issues can turn into serious outages or data loss. Backup management in Bult.ai helps teams:

• Protect critical application data
• Recover quickly from mistakes or failures
• Reduce operational risk
• Operate production services with more confidence
• Plan for growth without fear of data loss

Whether you are running databases, stateful services, or internal tools, having backups built directly into the platform removes the need for custom scripts or external tooling.

Designed for Production Workflows

Backup management in Bult.ai is designed to be simple, predictable, and safe. Controls are clear, schedules are transparent, and recovery actions are straightforward. This keeps the workflow developer-friendly while still meeting production reliability needs.

What’s Next

Backups are part of a broader focus on reliability and observability across the Bult.ai platform. We are continuing to invest in features that help teams deploy with confidence, understand system behavior, and recover quickly when issues arise.

More reliability and operations improvements are coming soon.

Introducing Canvas Change Tracking in Bult.ai

Bult.ai — Tue, 30 Dec 2025 11:19:58 +0000

Fast iteration is essential for modern development, but speed should not come at the cost of safety. As teams deploy more frequently and workflows become more dynamic, visibility into what is changing before a deployment becomes critical.

To address this, we’ve introduced Canvas Change Tracking in Bult.ai.

This update gives developers full control and transparency over changes made to their projects before anything is deployed.

What Is Canvas Change Tracking

Canvas Change Tracking provides a centralized view of all changes made to your project that have not yet been deployed.

Instead of changes being applied immediately or hidden behind configuration steps, every update is captured and displayed on the Canvas. This allows you to clearly see what is about to change and decide how to proceed.

What You Can Do with Canvas

With the new change tracking system, you can:

• Review a full list of uncommitted changes
• Inspect what has been modified before deployment
• Approve changes you are ready to deploy
• Discard changes you do not want to apply
• Roll back to a previous state when necessary

This workflow brings an extra layer of safety to fast deployment cycles and helps prevent accidental updates from reaching production.

Why This Matters

In many deployment platforms, changes are applied implicitly or bundled together, making it difficult to understand what exactly will be deployed. This becomes risky when iterating quickly, experimenting with configurations, or working across multiple environments.

Canvas Change Tracking solves several common problems:

• Reduces deployment mistakes caused by hidden or forgotten changes
• Improves confidence before pushing updates to production
• Makes experimentation safer by allowing easy rollback
• Supports teams that want clearer review steps before deployment

Whether you are working solo or as part of a team, having a clear snapshot of pending changes helps maintain control without slowing you down.

Designed for Fast Iteration

Canvas Change Tracking is built to support the way modern teams work. You can iterate quickly, make multiple adjustments, and review everything at once before deploying.

This approach keeps the workflow simple while adding guardrails exactly where they are needed.

What’s Next

Canvas Change Tracking is part of a broader effort to make deployments on Bult.ai more transparent, predictable, and developer-friendly. We are continuing to invest in features that improve observability, control, and confidence throughout the deployment lifecycle.

Introducing Volume Usage Metrics in Bult.ai

Bult.ai — Mon, 29 Dec 2025 10:13:04 +0000

As applications grow, visibility into storage usage becomes increasingly important. Teams need to understand how their data evolves over time in order to plan capacity, prevent outages, and avoid unexpected limits.

To address this, we’ve introduced clear volume usage metrics in Bult.ai.

What’s New

Bult.ai now provides detailed volume metrics that allow you to track storage consumption over time. For each volume, you can see:

• Date and time
• Total capacity
• Available storage
• Actual usage

These metrics are presented in a time-based view, making it easy to understand trends and spot changes as they happen.

Why This Matters

Storage issues are often discovered too late, usually when an application starts failing or behaving unpredictably. Without visibility, teams are forced to react instead of plan.

With volume usage metrics, teams can:

• Monitor growth patterns as data accumulates
• Detect abnormal usage early
• Plan capacity upgrades proactively
• Avoid unexpected storage exhaustion
• Better understand how applications behave in production

This is especially useful for databases, stateful services, and workloads that grow gradually over time.

Designed for Production Workloads

The new metrics are built to support real production use cases. Whether you are running a small internal tool or a growing customer-facing application, having clear insight into storage usage helps you operate with confidence.

By making storage consumption transparent, Bult.ai reduces operational guesswork and supports better infrastructure decisions.

What’s Next

Volume usage metrics are part of a broader effort to improve observability across the platform. We are actively working on additional visibility features that will help teams understand performance, resource usage, and system behavior more deeply.

Let’s Talk About Your Project

Bult.ai — Tue, 23 Dec 2025 11:22:43 +0000

Deploying and managing applications should not slow your team down. At Bult.ai, we work closely with founders, developers, and engineering teams to help them ship faster while reducing infrastructure complexity.

If you are building a startup, launching a new product, or managing multiple services, a short conversation can help clarify the best deployment approach for your needs.

What We Can Discuss

During a 30-min call with the Bult.ai team, we can cover topics such as:

• Your current deployment and infrastructure setup
• Pain points in DevOps, CI/CD, or cloud management
• How Bult.ai can simplify builds, deployments, and scaling
• Recommended templates, architecture, and workflows
• Next steps to move from setup to production faster

The goal of the call is practical and focused. You will leave with clear guidance tailored to your project.

Who This Is For

This session is useful for:

• Startup founders validating their infrastructure choices
• Indie developers shipping projects quickly
• Teams managing multiple repositories or environments
• Agencies deploying and maintaining client applications

Whether you are early stage or already in production, we adapt the conversation to your context.

Book a Call

If you would like to explore how Bult.ai can support your deployment workflow, you can schedule a meeting directly.

👉 Schedule Now

We shipped support for multiple GitHub accounts in Bult.ai

Bult.ai — Mon, 22 Dec 2025 11:18:35 +0000

We’re excited to roll out a feature many of you have been asking for - "multi-account GitHub support".

Until now, Bult.ai only allowed you to link one GitHub account. That worked fine for some, but if you’re:

An indie hacker managing multiple projects,
A freelancer or agency handling client repos,
Or a startup team working across different orgs... …it quickly became a bottleneck.

Now, you can:

Add multiple GitHub accounts (personal + work + orgs).
See all your repositories & projects in one place.
Deploy seamlessly without account-switching headaches.

This makes Bult.ai even more powerful for developers who juggle multiple projects every
day.

👉 Try it today at bult.ai

Build fast. Deploy faster.

Our new AI Support Chat in Bult.ai

Bult.ai — Fri, 19 Dec 2025 12:26:15 +0000

A New Step Toward Faster, Smarter Developer Assistance
At Bult.ai, we are committed to building tools that simplify the deployment and management of software. As the platform grows, so does the need for fast, reliable, and accessible support. Developers expect answers in real time, especially when working with new deployment workflows or exploring the capabilities of our infrastructure automation.

To address this need, we are introducing the AI Support Chat, a new system that provides users with immediate assistance and access to platform knowledge at any time of day.

What the AI Support Chat Does
The AI Support Chat is designed to help users navigate Bult.ai more efficiently. It operates as an always-available channel that analyzes platform documentation, best practices, and feature explanations. Users can ask questions about deployment, configuration, billing, templates, environment variables, or any topic covered in the documentation.

The system is available around the clock and responds within seconds. It is especially useful for new users exploring the platform for the first time and for experienced developers who need quick clarification without searching through multiple pages of documentation.

Why We Built It
As more teams adopt Bult.ai, we saw a growing demand for an instant, conversational interface that could provide clarity without requiring manual support interventions. Developers often work outside standard support hours and want answers immediately, particularly during deployment or debugging sessions.

The AI Support Chat solves several challenges:

• Immediate access to accurate information
• Faster onboarding for new users
• Reduced time spent searching through documentation
• Continuity of support across time zones
• A consistent source of truth for platform behavior

The introduction of this feature strengthens our commitment to providing an infrastructure experience that minimizes friction and empowers developers to move quickly.

Looking Ahead
The introduction of the AI Support Chat marks another step in our mission to make cloud deployment faster, simpler, and more accessible. As we continue developing Bult.ai, we will keep strengthening the support ecosystem with tools that make the platform easier to understand and more efficient to use.

We appreciate the feedback from early users who asked for faster support options. This feature was created directly in response to that input, and we look forward to expanding its capabilities in future updates.

More improvements are already in progress and will be shared soon as part of our ongoing platform development.