Scott GallowayMore tuning the of performance path in StyloBot at the moment.
https://www.mostlylucid.net/blog/stylobot-release-learning
(It's the free, open source bot detection engine I'm building)
This part is about making repeat traffic cheaper to process without turning the cache into a permanent source of wrong answers.
That means boring but important mechanisms:
EWMA updates
hysteresis thresholds
verdict caching
variance watchdogs
bounded memory
refresh sampling
I'm not an ML guy, but a lot of this maps neatly onto ML and control theory ideas once you start writing it down.
The useful pattern is simple enough:
learn from traffic, make the common path faster, keep enough uncertainty in the system that it can recover when the world changes.
The next post in the StyloBot release series is a deep dive into that mechanism.
Very much one for the nerds.
In .NET so...kinda niche...ML / AI ...
Nemeski
Alvin Ashcraft 🐿️
nietras 👾
//devdigest
Barret