For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
      • AstroFully-managed data operations, powered by Apache Airflow.
      • Astro Private CloudRun Airflow-as-a-service in your environment.
      • Professional ServicesExpert Airflow services for your enterprise's success.
    • Tools
      • Cosmos
      • Orbiter
      • CLI
      • AI SDK
      • Agents
      • Blueprint
      • UpdatesThe State of Airflow 2026See the insights from over 5,800 data practitioners in the full report. Download Now ➔
  • Customers
  • Docs
    • Insights
      • Blog
      • Webinars
      • Resource Library
      • Events
    • Education
      • Academy
      • What is Airflow?
  • Pricing
Get Started Free
    • Overview
      • Overview
        • Overview
        • Quickstart
        • Author dags
        • Blueprint
        • Test and run dags
          • Deploy code to Astro
          • Deploy code to Git
      • Dag versioning
      • Airflow logs
      • DAG and task runs
      • Airflow REST API
    • Book Office Hours

Product

  • Platform Overview
  • Astro
  • Astro Observe
  • Astro Private Cloud
  • Security & Trust
  • Pricing

Tools & Services

  • Cosmos
  • Docs
  • Professional Services
  • Product Updates

Use Cases

  • AI Ops
  • Data Observability
  • ETL/ELT
  • ML Ops
  • Operational Analytics
  • All Use Cases

Industries

  • Financial Services
  • Gaming
  • Retail
  • Manufacturing
  • Healthcare
  • All Industries

Resources

  • Academy
  • eBooks & Guides
  • Blog
  • Webinars
  • Events
  • The Data Flowcast Podcast
  • All Resources

Airflow

  • What is Airflow
  • Airflow on Astro
  • Airflow 3.0
  • Airflow Upgrades
  • Airflow Use Cases
  • Airflow 2.x End of Life

Company

  • Our Story
  • Customers
  • Newsroom
  • Careers
  • Contact

Support

  • Knowledge Base
  • Status
  • Contact Support
GitHubYouTubeLinkedInx
  • Legal
  • Privacy
  • Terms of Service
  • Consent Preferences

  • Do Not Sell or Share My Personal information
  • Limit the Use Of My Sensitive Personal Information

Apache Airflow®, Airflow, and the Airflow logo are trademarks of the Apache Software Foundation. Copyright © Astronomer 2026. All rights reserved.

LogoLogo
On this page
  • Deploy to an Astro Deployment
  • Prerequisites
Develop DAGsAstro IDEDeploy code from the IDE

Deploy code from the Astro IDE

Edit this page
Built with
Preview
This feature is in Preview.

The Astro IDE offers an integrated workflow for deploying Airflow dag changes. This allows you to deploy your latest changes from the Astro IDE to your Astro environment.

Deploy to an Astro Deployment

Follow these steps to deploy your latest changes from the Astro IDE to your Astro environment.

Prerequisites

  • An Astro Deployment.
  • The project must have been:
    • Imported using the Astro GitHub integration, or
    • Imported with the Astro CLI, or
    • Created directly in the Astro IDE. Projects imported via manual Git provider configuration cannot be deployed directly from the IDE. Commit and push your changes to your Git provider, then use your organization’s standard CI/CD pipeline to deploy.
1

Open the Deploy menu

In the Astro IDE, click the More Actions menu toolbar and select Deploy Project….

2

Choose version and Deployment target

In the Deploy Project dialog:

  • Review or edit the Version you want to deploy.
  • Select the Deployment target from your available Deployments.
3

Deploy

Click Deploy Project to start the code deploy.

4

Confirm deployment

In the Astro UI, open the target Deployment and check Deploy History in the Overview tab. Confirm that the latest deployment entry shows Astro IDE in the Deployed By column to verify your code was successfully deployed from the IDE.