Ranter
Join devRant
Do all the things like
++ or -- rants, post your own rants, comment on others' rants and build your customized dev avatar
Sign Up
Pipeless API
![](/static/devrant/img/pipeless-devrant-banner-white.png)
From the creators of devRant, Pipeless lets you power real-time personalized recommendations and activity feeds using a simple API
Learn More
Comments
-
I am supposed to identify everything without requiring developer intervention to identify anything.
-
@TrayKnots good luck trying to identify what a user is trying to do on a site you didn't build by code and create a human readable summary
-
@ilechuks73
I guess if an LLM can do it, I can do it better.
But honestly, that doesn't sound like the hardest ever task. First step, figure out the use case diagram for this page. At least mentally. -
retoor35765hThat's quite an investment. Isn't it better to review the whole system and harden it?
Reminds me about rocket chat. Their 'frontend is crashed' screen is so well designed. Idiots. Like it's just a thing what is possible.
Related Rants
So this product already has session replay, feedback collection widgets with multiple integrations to jira, slack, GitHub etc.... this widget embed code is already getting large and I am beginning to get worried
New problem, owner wants to add some error reporting tool. this would have been easy if I was to just collect and group errors from the users browsers but here is the use case
user tries to submit a form, out of probably lord know number of function and api calls, one fails, the user may be stuck or not, we don't know but I am supposed to infer from the session recording data whether the user got stuck or not, create a nice PM understandable error message like "user was unable to update their profile", group this error message over the number of affected users/visitors and attach the affected error messages/data to this generated group and also the session recording.
where am I even supposed to start with this?, can I trust AI to do the heavy lifting?
question
error-reporting
feedback