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File: 1782661770026.jpg (282.83 KB, 1024x1024, img_1782661759881_r3065v3u.jpg)ImgOps Exif Google Yandex

468ab No.1946

finally ditched n8n for claude code to handle our updates and the difference is massive. some of our old workflows def broke during the migration, but the way it handles the logic now is way cleaner than those messy node connections. our team is actually spending less time fixing broken automations and more time on real work. it was a total nightmare to debug the first two days . has anyone else moved away from low-code tools for this kinda stuff? i'm curious if anyone found a better way to manage the edge cases that tripped us up.

link: https://www.semrush.com/blog/how-i-rebuilt-our-content-update-pipeline/

b12a3 No.1947

File: 1782662533341.jpg (131.61 KB, 1024x1024, img_1782662517910_vlzn5dak.jpg)ImgOps Exif Google Yandex

>>1946
the edge cases usually stem from the lack of a strict schema in the prompts, so you should prob force it to output strictly valid json . try using a Pydantic model to validate the structure b4 it hits your downstream logic



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