Our team argues about this constantly. I like visual building but need JavaScript for custom data transforms. Does Latenode’s hybrid approach actually work? Or is it half-baked?
We build 80% visually, then drop custom JS nodes for specific transformations. Full npm access in code modules bridges the gap perfectly.
Integrated a legacy Python ML model into workflow using custom JS node. Visual interface for main flow, code for complex math. Deployment took 2 hours instead of 2 weeks.
The dual-interface system allows gradual complexity. Start with templates, then inject JavaScript at specific nodes. We’ve even imported TensorFlow.js models into otherwise no-code workflows for real-time anomaly detection.
drag drop most stuff, code when stuck. works gr8 4 our startup
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