Deploy AI Generated Apps
Deploy AI-generated apps from Claude, Cursor, Codex, GitHub, or CLI with databases, workers, storage, backups, logs, scaling, rollback, and MCP automation.
From generated code to production
NEXUS AI turns generated projects into running services with containers, environment variables, secrets, databases, networking, logs, metrics, health checks, and rollback.
Works with Claude, Cursor, Codex, GitHub, and CLI
Deploy from a prompt, Git repository, local source folder, image, terminal command, REST API call, or MCP-compatible AI agent workflow.
Full-stack resources included
Add Postgres, MySQL, MongoDB, Redis, worker sidecars, S3-compatible buckets, persistent volumes, database backups, cross-service restore, and auto-destroy controls.
App plus database plus worker
A typical NEXUS AI deployment can run a web app, a PostgreSQL database, a Redis queue, and a background worker as one connected service group. The app and worker share the same deployment network, so application code can use internal hostnames such as postgresql and redis instead of hard-coded host ports or external database addresses.
Storage and recovery included
Production apps usually need more than compute. NEXUS AI supports persistent filesystem volumes for apps that write to paths such as /data, S3-compatible buckets for uploads and generated files, database backups, in-place restore, and restore into another compatible service in the same organization.
One workflow across interfaces
The same stack can be managed from the dashboard, CLI, REST API, or MCP tools. Developers can deploy from GitHub, add database services, attach storage, run workers, scale replicas, inspect logs, create backups, and recover data without switching between cloud consoles and hand-built scripts.
Frequently asked questions
How do I deploy an AI-generated app?
Use NEXUS AI to deploy from a prompt, GitHub repository, local source folder, container image, CLI command, REST API call, or MCP tool. NEXUS AI builds the container, provisions runtime resources, and exposes logs and lifecycle controls.
Can I deploy code generated by Claude, Cursor, or Codex?
Yes. Push the generated code to GitHub, deploy a local source folder through the CLI, or let an MCP-compatible agent call NEXUS AI deployment tools directly.
Can AI-generated apps include databases and workers?
Yes. Docker deployments can include app containers, PostgreSQL, MySQL, MongoDB, Redis, worker sidecars, persistent volumes, S3-compatible buckets, and backup workflows.
Can I preview an AI-generated app before deploying it?
Yes. Push the generated files into the NEXUS AI App Builder (from the dashboard or via the nexusai_builder_push MCP tool) to get a live in-browser preview with no infrastructure spun up. Review it, iterate with chat, image attachments, and click-to-edit, then deploy when it looks right.
About NEXUS AI
NEXUS AI is an AI-native deployment platform for full-stack application teams. Learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.
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