Code is only the first step. AppDeploy handles deployment and the production services your app needs to run.
Free to try. No credit card required.
Build in ChatGPT, Claude, Cursor, Codex, Antigravity, Kiro, Linear, Trae, Cline, Kilo Code, Notion, Genspark, GitHub Copilot, Atlassian, Slack, Devin, Muse, Muse Code, Grok, and other MCP-compatible tools. AppDeploy returns a live URL.
Managed hosting, HTTPS, global delivery, and custom domains without manual infrastructure setup.
Database, live data sync, files storage, users, and secrets management are covered automatically.
Use built-in AI integrations and scheduled jobs inside the deployed app.
Apps are installable as PWAs by default, support push notifications, and feel closer to real products users can return to.
Autonomous QA, visual bug reports, full code access, version history, and instant rollbacks.
CHAT-NATIVE DEPLOYMENT
Traditional deployment means repos, choosing providers, provisioning databases and services, configuring secrets, deploying, and testing. AppDeploy handles the setup automatically inside the chat and returns a live URL.
Read how AppDeploy worksAI QA AGENT
AppDeploy runs an autonomous AI QA agent on the live app, checks it like a real user, and reports bugs back to the coding agent with the details needed to fix, redeploy, and re-test.
Read about QA agentsThe result is a live URL for an app that has already been checked.
Real deployed apps
School management app with a dashboard, student roster, weekly class schedules, gradebook, and certificates section.
AI gardening app that recommends plants based on a yard photo and location.
Meeting analytics app that connects to Google Calendar, tracks meeting time and cost, gathers post-meeting feedback, and generates AI weekly insights for better planning.
FULL-STACK BY DEFAULT
AppDeploy gives the AI the services it needs to create a working app without choosing providers or wiring them together.
Read the technical docsServices ready from the first deploy
APP EXPERIENCE
AppDeploy ships web apps as fast, installable experiences users can return to from mobile or desktop.
Users can add the app to their home screen.
Send timely updates even when users are not inside the app.
Keep shared experiences fresh across active users.
CONTROL AFTER DEPLOY
AppDeploy helps you move fast without locking you in. Inspect the code, keep version history, and roll back to a working app when needed.
Security by design
AppDeploy treats security as an integral part of its architecture. Generated apps run with platform-level isolation, sandboxed execution, protected credentials, encrypted transport, and access controls built in from the first deploy.
Each app runs in an isolated environment to reduce cross-app risk.
Generated code runs with platform constraints and controlled permissions.
Secrets and API keys stay out of generated code.
Traffic is protected in transit with encrypted connections.
Data uses platform storage controls, with encryption where supported.
Control sign-in, user access, and app data collection.
AppDeploy provides the platform protections. You stay in control of users, permissions, and app data.
Works where builders already build
No. AppDeploy is designed so you can build and deploy from the AI chat itself without Git, an IDE, or local tooling. Some agents require a one-time connector or MCP setup, but day-to-day use happens in the conversation.
Yes. You can pull the latest source or a previous version at any time.
AppDeploy does not ask you to choose every provider, runtime, database, or infrastructure setting before your first deploy. It uses opinionated defaults so your app can go live quickly. You still keep control over the app itself, including code access, versions, rollback, and future changes.
Yes. You can continue prompting the AI to change the app after it is live, and AppDeploy will deploy updated versions as you iterate.
AppDeploy is designed for apps that need to become real and shareable quickly, including internal tools, dashboards, portals, workflow apps, lightweight SaaS products, and AI-assisted prototypes. For complex production systems, teams can inspect the code, iterate, and decide how far to take the app.
AppDeploy returns visual bug reports and test results back into the workflow so the AI agent can fix, redeploy, and re-test the app.
AppDeploy works with ChatGPT, Claude Desktop, Claude Web, Claude Code, Figma Make, Cursor, Codex, Kiro, Linear, Trae, Cline, Kilo Code, Notion, Genspark, GitHub Copilot, Atlassian (Rovo), Slack, Devin, Muse, Muse Code, Grok, and any other agent that supports MCP (Model Context Protocol).
Build in chat, ship a live link, and share it with anyone.
Free to try. No credit card required.
