Unstandardized Build Configurations
Code generated by Bolt, Lovable, or Cursor frequently lacks standard build outputs or contains conflicting package manager locks.
Turn prompts into live production applications. Deploy code created with Bolt, Lovable, v0, Cursor, or Claude Code with automatic framework detection, AI build repair, and instant preview URLs.
01 / The problem
AI code generators produce fast prototypes, but often export repositories with non-standard file structures, missing environment variables, unconfigured build scripts, or hidden runtime dependencies that fail on conventional hosting platforms.
Code generated by Bolt, Lovable, or Cursor frequently lacks standard build outputs or contains conflicting package manager locks.
Full-stack AI apps using Node, Python, or WebSockets fail on serverless hosts that restrict long-running processes or custom runtimes.
Managing secret OpenAI, Anthropic, or Supabase keys safely across dev and production environments requires complex vault setup.
When an AI-generated package has version mismatches, traditional CI/CD pipelines fail with cryptic logs without telling you how to fix them.
02 / Why Deployxa
Deployxa bridges the gap between AI generation and cloud hosting. Our smart build engine recognizes code from Bolt, Lovable, v0, and Cursor, auto-generating runtime containers on the fly.
03 / Capabilities
Everything you need to run, observe and scale AI-generated Apps in production.
Detects Next.js, Vite, React, FastAPI, Node, or Express automatically from your AI-generated code repository.
AI-assisted build diagnosis that reads error logs and suggests code fixes or dependency patches in real-time.
Generates optimized multi-stage OCI Docker images when no standard framework manifest is detected.
Every prompt iteration or Git branch gets an instant, secure preview URL with auto-provisioned SSL.
Safely inject OpenAI, Anthropic, Pinecone, or Supabase credentials with encrypted key isolation.
Full support for streaming LLM tokens via WebSockets or Server-Sent Events (SSE) without timeout limits.
Deploy straight from Cursor terminal or VS Code using the Deployxa CLI or automatic GitHub webhooks.
Distribute frontend assets and proxy API queries through the global edge network for low latency.
04 / Workflow
Generate your full-stack application using Bolt.new, Lovable, v0, Cursor, or Claude Code.
npx bolt export my-ai-app OR git push origin main
Push your repository to GitHub/GitLab or run deployxa deploy in your project directory.
deployxa deploy --prod
Deployxa inspects runtime requirements, dependencies, and entrypoints (Next.js, Vite, Python, etc.).
[Deployxa Engine] Detected: Next.js + FastAPI (Docker fallback ready)
Compiles assets and containerizes runtimes. If errors occur, AI repair suggests instant patches.
[Deployxa Build] Image compiled in 14.2s. Zero warnings.
Provision Let's Encrypt SSL certificates automatically and route traffic to global Anycast PoPs.
[Deployxa Edge] TLS Certificate Handshake OK -> https://ai-app.deployxa.online
Your AI application is live worldwide with full telemetry, SSE streaming support, and custom domain mapping.
STATUS: 200 OK | Health check passed | HTTPS active
05 / Supported stack
06 / Compare
See why AI creators choose Deployxa over traditional hosting platforms or complex cloud setups.
| Capability | Deployxa | Traditional cloud or DIY VPS |
|---|---|---|
| AI Framework Detection (Bolt, Lovable, v0) | Native automatic detection | Manual configuration required |
| AI Build Repair Assistant | Built-in stack trace AI diagnosis | Cryptic build logs only |
| Docker Container Fallback | Automatic container generation | Requires custom Dockerfile writing |
| Long-running SSE / Streaming AI Tokens | Supported natively (No timeouts) | Strict 10-30s gateway timeouts |
| Automatic Preview Environments per PR | Instant preview URL with SSL | Complex manual staging setup |
| Deploy Speed for AI Repositories | < 60 seconds average | 5 - 15 minutes setup & build |
| CLI & Cursor Terminal Deployment | Native 1-command CLI | Requires complex cloud CLI scripts |
07 / FAQ
Yes! You can connect your GitHub repository or upload your exported project directory. Deployxa automatically detects package dependencies and configures build steps for Bolt.new, Lovable, v0, and Cursor outputs.
Deployxa features an integrated AI Build Repair Assistant. If a missing dependency or syntax error occurs during compilation, the system highlights the root cause and provides suggested fixes or automatic patches.
Absolutely. Unlike restrictive serverless platforms that kill long-lived connections after 10–30 seconds, Deployxa persistent container workers support unlimited Server-Sent Events (SSE) and WebSocket streams.
If your repository contains non-standard build scripts or custom system dependencies (such as Python packages, C libraries, or custom binaries), Deployxa automatically synthesizes a production-grade multi-stage Dockerfile.
You can add environment variables via the Deployxa dashboard or CLI using `deployxa env set OPENAI_API_KEY=sk-...`. Keys are stored in an encrypted secrets vault and injected into build and runtime environments securely.
Yes. Simply commit your Cursor or Windsurf repository to Git or deploy directly from your local workspace terminal using the Deployxa CLI (`deployxa deploy`).
Yes. Every deployment gets a free `.deployxa.online` subdomain immediately, and you can attach custom apex domains or subdomains with automated Let's Encrypt SSL renewal.
Yes! Deployxa offers a generous free tier that includes compute, storage, build minutes, and custom domain support so you can prototype and launch AI applications with zero upfront cost.
Ready when you are
Ship your Bolt, Lovable, v0, or Cursor project to production in under 60 seconds with zero DevOps friction.
No credit card required. Free plan included.