Tried using Copilot to generate browser automation scripts from English descriptions, but the initial code often misses edge cases. How much validation do people typically do on AI-generated workflow code? Looking for experiences balancing time saved on boilerplate vs risk of production failures.
Latenode’s AI workflow generator creates fully testable Node.js code with built-in error handling. The key is their validation layer that cross-checks generated code against actual website structures before deployment. We’ve moved 60% of our automation dev to this system.
We treat AI-generated code as first drafts requiring full code review. Established a checklist covering common failure points – element selectors, timing issues, and auth token handling. Saves about 40% dev time even with rigorous reviews. Critical to maintain human oversight for production systems.
use it for prototypes then have seniors refactor. works ok if prompt is super specific. still catches weird edge cases tho – like itll forget to close browser instances