Build Apache Airflow DAGs 10x faster with AI-powered code generation and visual drag-and-drop. Describe your pipeline in plain English and get production-ready Python code instantly. No boilerplate, no syntax errors, just working DAGs. Visual editor lets you drag, drop, and connect components without coding. Free tier: 5 DAGs, 50 AI generations/month. Try it free at dagforge.com

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Hi Product Hunt! 👋 We are excited to launch DAGForge today! After spending too many weekends debugging Airflow DAG syntax errors, I built a platform that combines AI code generation with visual drag-and-drop to build production-ready Airflow DAGs. What makes it different: ✅ Describe pipelines in plain English → Get production-ready Python code ✅ Visual editor → Drag, drop, connect components without coding ✅ Complete implementations → No placeholders or TODOs ✅ Real-time validation → Catch errors before deployment Real impact: Save 10+ hours per DAG. Build in minutes, not weeks. Try it free: https://dagforge.com (5 DAGs, 50 AI generations/month) Demo video: [

] I'd love your feedback! What features would make this most valuable for you? Happy to answer any questions! 🚀

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

] I'd love your feedback! What features would make this most valuable for you? Happy to answer any questions! 🚀

DAGForge

AI-powered visual builder for Apache Airflow DAGs

AI-powered visual builder for Apache Airflow DAGs