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selah-cli

v1.8.1

Published

Zero-setup AWS deployment for Bolt.new apps. Build in Bolt, deploy to production in 3 minutes with AI guidance.

Downloads

67

Readme

Selah CLI: Zero-Setup AWS Deployment for Bolt.new

Built with Bolt.new AI Powered Deploy to AWS

What is Selah CLI?

The world's first AI-powered tool that takes your Bolt.new prototype and deploys it to production AWS in under 3 minutes.

Born from personal frustration trying to deploy a Bolt.new app, Selah CLI bridges the gap between creative coding and production infrastructure. No DevOps knowledge required - just build in Bolt, run Selah, ship to AWS.

Key Features

  • npx install: Instantly scaffolds your project with config and AWS credential guide
  • AI-powered build: Scans your codebase, generates a deployment plan via Vertex AI (MCP), and provisions AWS infra
  • Tavus AI agent review: Approve deployment plans via a browser-based Tavus agent, linked from the terminal
  • Real-time logs: Deployment logs streamed directly in Bolt
  • Framework agnostic: Works with React, Vue, Angular, Svelte, Next.js, Nuxt.js, vanilla, and more
  • Security, performance, and accessibility audits
  • Production-ready AWS deployments: Lambda, S3, API Gateway, CDK/Terraform, and more

Quick Start

One-Command Install (Recommended)

# Install globally via npm
npm install -g selah-cli

# Use anywhere in your terminal
selah --version

3-Minute Demo

# Navigate to your Bolt.new project
cd your-bolt-project/

# Initialize Selah
selah init

# Setup AWS credentials (first time only)
selah aws-setup

# AI analysis + Tavus consultation  
selah analyze

# Deploy to AWS
selah deploy

# Note: If running on Bolt.new, use:
# selah deploy --hackathon

Code Protection

Our source code is protected using advanced obfuscation while maintaining full functionality. The NPM package contains production-ready binaries that work exactly as demonstrated.

Live Demo: See the migration from Supabase version to AWS CloudFront deployment.

How It Works

  1. Project scan: Selah CLI scans your Bolt project (runtime, envs, Dockerfiles, etc.)
  2. Context sent to MCP server: Project context is securely transmitted to the backend (MCP), powered by Vertex AI
  3. AI plan generation: Vertex AI returns a structured AWS deployment plan
  4. Tavus agent review: CLI outputs a link to a Tavus AI agent for human-in-the-loop plan review
  5. AWS provisioning: Upon approval, the backend provisions AWS infrastructure
  6. Log streaming: Real-time deployment logs are streamed back to the CLI in Bolt

Hackathon Submission

Challenges Competing In:

  • Conversational AI Video Challenge - Tavus AI agent consultation
  • Deploy Challenge - Zero-setup AWS deployment automation
  • Startup Challenge - Real market solution for developer pain point

Bonus Prizes:

  • Inspirational Story - From personal deployment struggles to helping all vibecoders
  • Build-in-Public Journey - Documented development process

Project Timeline:

  • Original Problem: Built task manager in Bolt.new, couldn't deploy it
  • Solution Development: Created Selah CLI to automate the entire process
  • Current Status: Live production deployment + working CLI tool

Demo Links:

Further Documentation


For questions or contributions, open an issue or contact the team!