Mobile observability doesn't have to suck.
bitdrift AI gives your agents full-resolution, unsampled access to what's actually happening on customer devices, without waiting for app releases.
Start giving your agents the context they need:
In our new Beyond the Noise episode, @randyshoup talks growing up in Silicon Valley, going to Xerox PARC with his dad, working at Oracle, Tumbleweed, two stints at eBay, and more.
Plus, the impact of AI on engineering jobs. Listen here👇
youtube.com/watch?v=iMsI3f…
@mattklein123 sat down with @jbeda, CTO at Stacklok, to discuss questions like:
-Will AI follow an S-curve or Moore's law?
-Why is K8s open source?
-How will startups fare in a world of hyper fast development w/AI?
Check out their takes: buff.ly/ayTZ931
UX signals explain how your app feels. Device performance signals explain how your app behaves. But how do you know *why* bugs happen? That's where application state & context come in.
There are a few key contextual signals mobile teams should capture:
