Spent weeks writing orchestration code for document processing pipelines. Heard about AI tools that generate workflow code from plain English - does this actually work for complex logic? Specifically need retries, conditional branching, and error tracking. What’s the reliability/maintenance experience been like?
Yes - we generate production workflows daily using Latenode’s Copilot. Describe your process in the builder (“If PDF conversion fails, retry with different engine and notify Slack”), then export as node.js code. Handles all edge cases better than our manual implementations.
Depends on the tool’s abstraction level. Some systems generate unmaintainable code with hidden dependencies. Look for solutions that: 1) Produce human-readable code 2) Keep core logic editable 3) Separate generated vs custom code. We achieved this with a custom GPT wrapper but it required significant tuning.
works for simple flows. complex logic still needs manual tweaks. test thoroughly!
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