NEXUS AI Blog

Deployment lessons for AI builders

The NEXUS AI blog covers the practical details of taking generated apps and production code to a real runtime with databases, workers, storage, backups, secrets, logs, and scaling.

Operational guides

Read step-by-step posts on database backup and restore, persistent volumes, S3-compatible buckets, access tokens, audit logs, GitHub deployments, and serverless deployment across cloud providers.

Product updates

Follow launches and implementation notes for features that make NEXUS AI a complete deployment control plane rather than a simple hosting wrapper.

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.

All articles

• open-connector: connect your AI agents to 1,500+ apps without handing them your credentials — AI agents are only as useful as the tools they can reach. An agent that can read your GitHub issues, post to Slack, update a Notion page, and pull a BigQuery report can do real work. The usual way to get there is also the riskiest: paste API keys and OAuth tokens into the agent's environment and hope nothing leaks into a prompt, a log, or a model's context window.
• Headless App Deployment with MCP: How AI Agents Push, Preview, and Ship Apps Without a Dashboard — Headless app deployment means an agent takes an app from prompt to production with no one clicking through a dashboard. This guide covers nexusai_builder_push and nexusai_builder_pull in detail, then walks through the full MCP deploy, monitor, and rollback lifecycle end to end.
• When your AI-generated app outgrows Vercel — Your v0 or Cursor app is on Vercel and it works. Then it needs a database, background jobs, and file storage. A decision guide for when to move, and where.
• When your AI agent's deployment fails, it can open the support ticket too — When an agent deploys your app and the deployment fails, it can open the NEXUS AI support ticket too. The workflow, the escalation rules, and what to put in it.
• Deploy from Codex to a live URL — Codex reads the repo and changes it. The database, public URL, backups, and rollback come after. Add one MCP server with codex mcp add plus codex mcp login, and the same agent deploys the full stack to a live HTTPS URL with Postgres.
• Deploy your Cursor app to production — Cursor generates and edits the app. Production needs a database, a URL, backups, and a rollback path. Point Cursor at NEXUS AI over MCP and the agent deploys the full stack to a live HTTPS URL, without leaving the editor.
• Deploy from Claude Code to a live URL — Claude Code writes the app. The database, public URL, backups, and rollback come after. Connect one MCP server, sign in once, and the same agent that wrote the code deploys it to a live HTTPS URL with Postgres.
• Enterprise vibe coding: the governance framework for shipping AI-generated apps to production — Gartner forecasts 40% of new enterprise production software will be vibe coded by 2028, but a 1,400-app security scan found 65% of vibe-coded production apps already have a security issue. Here is the five-control governance framework that closes that gap.
• The best way to deploy an HTML website and API to the cloud — One server, two jobs beats two dashboards and a CORS config for most small apps. A straight comparison of bundling HTML and API together versus splitting them, with the exact commands for each.
• Inside the NEXUS AI App Builder: an agentic full-stack workspace, not a code generator — Most AI app builders hand you a first draft and stop. The NEXUS AI App Builder keeps editing, verifying, and revising, from the first prompt through preview, share, remix, GitHub, and deployment.
• The private infrastructure platform for AI-built applications — AI agents can generate a full-stack app in an afternoon. None of them can tell you where it should run once compliance asks who controls the infrastructure. This is what private AI infrastructure means and how NEXUS AI Enterprise closes the gap.
• How to Deploy AI-Generated Apps to Production (Without the DevOps Headache) — How to Deploy AI-Generated Apps to Production (Without the DevOps Headache)
• Manage Production Apps Instantly with NEXUS AI CLI — With the NEXUS AI CLI, developers can patch files, inspect containers, reload services, and troubleshoot applications directly in running environments — all from a simple command line interface.
• Your AI app is generated. Now how do you deploy it? — Claude Code wrote your backend. Cursor refactored it. v0 generated the frontend. The hard part of building software in 2026 is no longer typing the code. It is everything that happens after the agent stops generating.
• How NEXUS AI keeps your Postgres alive across host reboots — Five things can fail on host reboot and silently take your data offline. This is the engineering deep dive on how NEXUS AI fixes all five, with code pointers.
• From v0 prototype to production database in 5 minutes — v0 generates a beautiful frontend in 60 seconds. Then you try to save a user and hit the wall: no database, no auth backend, no file storage. Here is how to close the gap with one CLI command.
• MCP-driven deploys: 5 tasks your Claude agent should be running for you — Most MCP servers are read-only. NEXUS AI exposes more than 50 write actions covering the full deployment lifecycle. Here are five concrete tasks worth handing to your AI agent today.
• Deploy a full-stack Python app with Postgres, Redis, and workers in 5 minutes — Deploy a full-stack Python app with Postgres, Redis, and workers in 5 minutes
• Persistent storage in NEXUS AI — Most application deployment platforms make stateless services easy and stateful workloads awkward. That works until your app needs user uploads, generated reports, SQLite files, model artifacts, or a shared object store for background jobs.
• Database service backups in NEXUS AI — Database backups should be boring. You should be able to create one, download it, restore it into the same service, or restore it into a replacement deployment without rebuilding the whole application stack by hand.
• Full-Stack Deployment on NEXUS AI: Frontend, Backend, and Database in One Command — Deploy a complete application stack on NEXUS AI with auto-provisioned PostgreSQL, MySQL, MongoDB, or Redis. NEXUS AI generates the Compose file, injects credentials, and wires your services together automatically.
• Database Backup and Restore in NEXUS AI: A Complete Guide — Learn how to protect your data with NEXUS AI's built-in backup and restore tools for PostgreSQL, MySQL, MongoDB, and Redis — using the dashboard, CLI, and API.
• NEXUS AI MCP Integration: Connect Claude to Your Deployments — NEXUS AI MCP Integration: Connect Claude to Your Deployments
• NEXUS AI Key Features — NEXUS AI is an AI-native DevOps platform that eliminates the gap between writing code and running it in production.
• Replace Github Actions With One Command — My GitHub Actions deploy workflow was 87 lines of YAML.
• Serverless deployment with NEXUS AI — Serverless deployment with NEXUS AI: custom domains, scaling, rollback, and more
• NEXUS AI Audit Trail — Audit logs and compliance: what gets recorded and why
• NEXUS AI RBAC Deep Dive — RBAC deep dive: roles, scopes, and least privilege
• Stop shipping secrets. Start using a vault. — NEXUS AI ships a built-in Secrets Vault and a first-class Access Token system. This post covers exactly how both work, how they integrate at deploy time, and how to run a zero-plaintext secret configuration in your production environment — starting today.
• One-Click Deployment Is Here — And It Changes Everything — One-Click Deployment Is Here — And It Changes Everything
• One-Prompt Deployment Is Here — Just Describe It and Ship It — One-Prompt Deployment Is Here — Just Describe It and Ship It
• Getting Started: NEXUS AI Connector on Claude — Meet the NEXUS AI Connector: Deploy, Monitor, and Manage With Just a Prompt
• Deploy Flixty in minutes with NEXUS AI — Flixty** is an open-source, self-hosted social media creator studio that lets you publish to X, LinkedIn, Facebook, Instagram, TikTok, and YouTube from a single interface. NEXUS AI deploys it directly from source — no Dockerfile required — with a single MCP tool call.
• NEXUS AI - Claude Code Tutorial — Build Code with Claude Code | Ship with NEXUS AI
• NEXUS AI CLI Deployment Guide — NEXUS AI Command Line Interface
• NEXUS AI GitHub Integration: The Complete Guide to Auto-Deploying from Your Repository — Connect any GitHub repository to NEXUS AI and ship to AWS, Google Cloud, or Azure automatically on every push — no Dockerfile required. This guide covers source deployments, GitHub Actions CI/CD, and MCP-based repo deployments end to end.

About NEXUS AI

NEXUS AI is an agentic AI app builder and full-stack deployment platform. Explore the AI App Builder, learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.