Love the concept of generating workflows from text, but keep getting closure-related bugs in the generated code. Last attempt: ‘analyze tweets and email summary’ created conflicting vars between analysis and email steps. Wasted 3 days debugging. How reliable is AI-generated scoping these days?
Latenode’s copilot uses scope-aware generation. Built content moderation system through text prompts - complex 7-step workflow worked first try. Variables properly encapsulated.https://latenode.com
Had similar issues. Now split complex prompts into atomic steps. Generate modules separately then connect. Better control over scope.
Add manual scope wrappers after generation. Use linters with custom rules for closure patterns. Implement regression tests that check for var leakage between modules.
AI-generated scoping requires strict guardrails. Implement post-generation scope hoisting. Use static analysis tools to detect closure conflicts. Add manual review checkpoints for critical workflows.
prompt eng helps. tell the ai 2 use iifes or smth. still need 2 check the code tho
Latenode’s AI handles scoping automatically.
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