The latest articles on DEV Community by Datainteg (@datainteg). https://dev.to/datainteg https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3940838%2Fe029aece-2fc1-4181-a10c-54235ffed0f3.png https://dev.to/datainteg en Datainteg Tue, 19 May 2026 17:46:58 +0000 https://dev.to/datainteg/i-built-airflow-dag-studio-a-visual-drag-and-drop-builder-for-apache-airflow-dags-5pf https://dev.to/datainteg/i-built-airflow-dag-studio-a-visual-drag-and-drop-builder-for-apache-airflow-dags-5pf <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8gphia2lc2e6uir1yk2f.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8gphia2lc2e6uir1yk2f.png" alt=" " width="800" height="383"></a>Most Airflow problems don’t start in production.</p> <p>They start inside a large DAG file.</p> <p>One duplicate <code>task_id</code>.<br><br> One broken dependency.<br><br> One missing retry policy.<br><br> One sensor waiting forever.<br><br> One TaskGroup that becomes hard to understand after a few refactors.</p> <p>That is why I built <strong>Airflow DAG Studio</strong>.</p> <p>A modern visual workspace for Apache Airflow DAGs.</p> <p>With Airflow DAG Studio, you can:</p> <ul> <li>Build DAGs using drag-and-drop</li> <li>Configure tasks visually</li> <li>Create and manage TaskGroups</li> <li>Validate DAG structure before deployment</li> <li>Preview generated Python code</li> <li>Export production-ready Airflow DAG files</li> <li>Start from workflow templates</li> <li>Use command palette and dark mode</li> </ul> <p>The goal is simple:</p> <blockquote> <p>From large Python DAG files to one clean visual workflow canvas.</p> </blockquote> <p>Tech stack:</p> <ul> <li>React</li> <li>TypeScript</li> <li>Vite</li> <li>React Flow</li> <li>Zustand</li> <li>Monaco Editor</li> <li>Lucide React</li> </ul> <p>Try it here:</p> <p>👉 <a href="https://airflow.datainteg.io" rel="noopener noreferrer">https://airflow.datainteg.io</a></p> <p>I’d love feedback from data engineers, Airflow users, platform engineers, and open-source contributors.</p> <p>What should I improve next?</p> <h1> airflow #dataengineering #opensource #react #typescript #apacheairflow #developer </h1> airflow dataengineering opensource ai