How do you review code at the volume agents produce it? On the Claude Code team, once we had high coverage and deep reviews, we started optimizing for the minimum amount of human review time that doesn't raise reverts or incidents.
Gideon Lewis-Kraus reviews “Kobuk the Destroyer, and Other Tales from the Wild, Unseen World of Test Engineering,” by Alex Davies.
How design-aware monitor analytics connects production measurements with device behavior and pre-silicon expectations.
Just because a chip is deemed good doesn't mean it will work as expected.
Designing a semiconductor chip is not only about making it perform its intended function.
As packages get larger and thinner, warpage is becoming a process-control problem rather than a simple flatness spec.
Everyone knows RCTs are the gold standard of evidence. ….Right?
It is a rare randomized trial (studying a particular intervention with a sufficiently large and well-distributed sample population) that can detect an 0.3% difference in a binary random variable — but Laplace could, more than 200 years ago.
You can be relatively sure that a p-value in one clinical trial conveys the same information as it does in another clinical trial, at least as far as the mathematical model is concerned.
Safely Deploying Machine Learning Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)
Note: This bookmark, **[Safely Deploying ML Models to Production: Four Controlled Strategies](#rid:1652757915)**, is an article from MarkTechPost that outlines how to release machine learning models into production while minimizing risk. The article details four key deployment strategies: * **A/B Testing**: Randomly splits a small percentage of total traffic to the new model while the rest stays on the…
Finding defects now requires multiple data types, and a much more thorough search.
Your Guide to Choosing the Right Test for Your Data
Introduction Testing software is like putting it through a series of challenges to make...
How to find the best performance estimation approach for time-series forecasts among 12 strategies proposed in the literature. With Python…
Introduction: The software development process has been transformed by the DevOps...
Use natural language to test the behavior of your ML models
How the principle of connascence will help us to move away from fixtures.
Writing automated unit tests for the software we build can seem like a large amount of groundwork without a clear payoff. However, the…
An introduction meant for people who have never delved into unit testing
Adoption of new format will take time, but it also will add consistency into data as volume grows.
More about the data that the fab makes available to the fabless customer when the wafer is ready to ship.
Variation-aware memory verification with brute force Monte Carlo accuracy in much less time.
Guidelines for Maintainable Tests