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
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Maker
š
Hi Product Hunt! š
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:
ā Describe pipelines in plain English ā Get production-ready Python code
ā Visual editor ā Drag, drop, connect components without coding
ā Complete implementations ā No placeholders or TODOs
ā Real-time validation ā 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! š