Starting with Cloud Agents

Quick start guide for running AI Agent workflows in Mission Control

🚀 Quick Start with Mission Control

Mission Control is your web interface for running and managing Cloud Agents. Get started in minutes with pre-built workflows for security scanning, GitHub management, analytics insights, and more.
Mission Control is in beta. Please share any feedback with us in GitHub discussions.
Use Mission Control to kick off Cloud Agents for:
  • Bug fixes & code quality - Address nitpicks and technical debt
  • Feature development - Build boilerplate-heavy features
  • Security & compliance - Automated vulnerability scanning
  • Investigation & analysis - Research issues to kickstart your work
  • Custom workflows - Run repeatable tasks with your own rules and prompts

Quick Start

If you haven't already, create an account and connect your GitHub repositories in Mission Control.
1

Navigate to Your Agents Page

Go to Mission Control Agents page and select an existing workflow with a pre-configured Cloud Agent.
2

Run Your First Cloud Agent

Your agents page lists all available Cloud Agents. Click on the agent and then Test Run to start it.
New to agents? Check out our pre-configured agents to test out a workflow immediately.

Try a Cloud Agent First: Your 60-Second Challenge

Before creating your own agent, let's see one in action! The fastest way to experience the power of Continue agents is with our demo repository.

See an Agent Create a Pull Request in Under 60 Seconds

1

🍴 Fork Our Demo Repository

Get a safe sandbox to experiment with:
Option 1: GitHub Web Interface Visit github.com/continuedev/demo-project and click Fork
Option 2: GitHub CLI
gh repo fork continuedev/demo-project
2

🎯 Access Mission Control

Go to Mission Control and:
  • Connect GitHub and authorize Continue when prompted
  • This gives agents access to create PRs in your repositories
3

🚀 Run Your First Agent

Target your forked demo repo and try one of these commands as a task:
Create a new function that calculates fibonacci numbers.
4

✨ Watch the Magic

Result: A fully-formed Pull Request opens in your demo repo with:
  • Complete implementation or fix
  • Proper commit messages
  • Detailed PR description
  • Ready for review and merge
Why Use the Demo Repo?
  • Safe testing environment - No risk to your production code
  • Pre-configured issues - Common bugs and features to practice with
  • Immediate results - See agents in action without setup complexity
  • Learn by example - Study the generated code and PR descriptions
Once you see how agents work with the demo repo, you'll understand exactly how to create and customize your own for real projects!

Example Workflow Tasks

Here are some example tasks you can try with your Cloud Agents:

Ways to Run Cloud Agents

Choose the method that fits your workflow:
Web interface for interactive use
Perfect for:
  • Exploring AI agent capabilities
  • Reviewing outputs before action
  • Monitoring ongoing workflows
  • Team collaboration
  • One-time tasks
Access at continue.dev/agents

Best Practices for Cloud Agent Success

The practice of using Cloud Agents (Continuous AI) requires thoughtful setup of guardrails and habits:

Start Small

Begin with tasks you're confident Continue can handle, like fixing known bugs with simple solutions.

Practice Locally

Test with Continue CLI in TUI mode before deploying automation.

Be Thorough

Agents can run for extended periods - invest time in detailed prompts with all important context.

Team Alignment

Discuss agent usage and adjust code review habits for higher PR volumes.
Learn More: Explore advanced patterns and case studies on the Continuous AI Blog.