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Jack Dorsey reflects on Twitter's early mistake of not instrumenting usage, leading to frequent outages (Fail Whale), and how he applied this lesson at Square by building an admin dashboard and measurement culture.
The article argues that AI deployments often fail because teams treat the ability to reverse AI decisions as a cost rather than a design feature, and provides examples and principles for designing reversible AI systems.
This article explores how AI models like Claude could leverage user behavior data through instrumentation to autonomously improve test automation, catch errors, and suggest product improvements.
This post implements a Daikon-style runtime invariant miner in Python, including instrumentation, trace collection, candidate invariant checking, and implication-based suppression, providing an approximate oracle for regression testing.