Qovery Skill for AI Agents: Deploy Apps in One Prompt

The world of AI coding assistants is exploding.

Claude Code, Codex, OpenCode, Cursor, VS Code Copilot, Gemini CLI - there are now 20+ AI coding tools that can help you write code faster than ever. But here’s the catch: you can write the perfect app in seconds, but deploying it? That’s still a nightmare.

Enter the Qovery Skill - a complete, comprehensive solution that bridges AI agents directly to production deployments.

The Problem: AI Can Code, But Deployment Remains Complex

We’ve all been there. You’re working with an AI coding assistant, and it’s so powerful. It generates your entire application, handles dependencies, configures your database… and then you hit the deployment wall.

Suddenly you’re:

• Configuring Your infrastructure / Kubernetes manifests
• Setting up CI/CD pipelines
• Managing cloud provider credentials
• Wrestling with Terraform state files

It’s a disconnect. Your AI can write production-ready code, but getting it to production requires a completely different skillset.

The Solution: Qovery Skill for AI Agents

The Qovery Skill gives AI agents full control over Qovery:

• CLI operations
• API integration
• Terraform support
• Multi-cloud deployment (AWS, GCP, Azure, or your own Kubernetes)

No more “here’s your code, good luck deploying it.” Now it’s “here’s your code, and it’s already in production.”

How It Works

You can install qovery skill in a single command.

Compatible With Everything

It works with all the major AI coding tools:

• Claude Code
• OpenCode
• Cursor
• VS Code Copilot
• Gemini CLI
• 20+ more tools

Your favorite AI assistant just got a superpower.

Demo: Tic Tac Toe, From Zero to Production in One Prompt

The Challenge: Deploy a simple Tic Tac Toe application - spoiler alert - it's insanely fast and painless with Qovery Skill.

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Before Qovery Skill:

1. Generate the code (AI)
2. Write Dockerfile (you or AI)
3. Set up Kubernetes manifests (manual or AI-assisted)
4. Configure your cloud provider (the hard part)
5. Set up CI/CD pipeline
6. Deploy and debug whatever broke

After Qovery Skill:

1. Generate the code (AI)
2. Tell your AI agent: “Deploy this to production with Qovery”
3. Done. Doing the job ✓

The entire application goes from zero to fully deployed with a single prompt. No YAML hell. No credential hunting. Just code → production.

Enterprise Control, Developer Simplicity

Here’s what platform engineers and DevOps teams are going to love:

Speed That Actually Matters

Deployments that used to take hours now happen in minutes. Your AI writes the code; your Qovery Skill handles the infrastructure.

Enterprise-Grade Control

Because it's built for enterprise constraints - you get:

• Full multi-cloud support (AWS, GCP, Azure)
• Your own cloud credentials (BYOK)
• Complete audit trails
• Production-grade security
• No vendor lock-in

It’s Your Infrastructure

Qovery stays in control. Your cloud provider stays in control. The AI just becomes the interface. No hidden costs, no surprise bills, no mysterious vendor lock-in.

AI Deployment as a First-Class Citizen

With the Qovery Skill, AI agent deployment becomes a first-class entry path alongside:

• Web Console (web-based management)
• Open API
• CLI
• Terraform Provider
• MCP Server

Now it’s AI Agent + Qovery Skill. Four equally powerful ways to interact with your infrastructure.

What’s Under the Hood

The Qovery Skill provides:

1. Context-aware commands – The AI understands your Qovery organization, projects, and environments.
2. Smart defaults – It knows what makes sense without you explaining everything.
3. Error handling – When things go wrong, it knows how to recover.
4. State management – Your infrastructure state is consistent and predictable.

Because it uses CLI, API, and Terraform interchangeably, it can adapt to whatever approach works best for the situation.

Ready to Try It Yourself?

1. Install the Skill

curl -fsSL <https://skill.qovery.com/install.sh> | bash


2. Connect Your AI Tool

Follow the documentation in our GitHub repo for your specific AI coding tool.

3. Deploy Something

Start small. Try deploying a simple application. Watch what happens.

4. Go Wild

Once you see how it works, deploy your next production app. Or your next microservice. Or your entire stack.

This Changes Everything

We’ve been building Qovery for years to make Kubernetes accessible. We’ve added Docker Desktop support, cloud console interfaces, Terraform providers… but this? This is different.

The Qovery Skill for AI agents means that the person (or AI) writing your code is the same one deploying it. No handoffs. No context switching. No “it works on my machine” problems.

It’s simple. It’s powerful. It just works.

Useful links:

• Documentation: https://www.qovery.com/docs/getting-started/quickstart/ai-agent
• Qovery Skill: https://github.com/Qovery/qovery-skills