Regardless, this is why science rules!
Science is defined by its commitment to testability and falsifiability.
Regardless, this is why science rules!
Science is defined by its commitment to testability and falsifiability.
- establishing domain language
- increasing testability
- explaining non-obvious code with ADR's
- automated code migrations (2/2)
- establishing domain language
- increasing testability
- explaining non-obvious code with ADR's
- automated code migrations (2/2)
Prestige bias is bigger in fields that are less scientific (eg., art, history). Fields where claims are more testable have lower prestige markers (eg math, physics). kurtishingl.com/files/PTTS_l...
(both quotes without context are Miyamoto)
(both quotes without context are Miyamoto)
1/9
1/9
A library with a good developer experience includes good support for testability IMO.
A library with a good developer experience includes good support for testability IMO.
The longer version of my review can be found here.
👇 👇 👇
nicolalindgren.com/book-review-...
The longer version of my review can be found here.
👇 👇 👇
nicolalindgren.com/book-review-...
(3/?)
(3/?)
funktionale-programmierung.de/en/2025/10/1...
funktionale-programmierung.de/en/2025/10/1...
My field uses ratios *a lot*, & I've explicitly compared analysing raw versus ratio data: it didn't make *that* much difference 🤔
The paper cited Jasieński & Bazzaz FA (1999)
doi.org/10.2307/3546...
So I checked it out...
#stats
My field uses ratios *a lot*, & I've explicitly compared analysing raw versus ratio data: it didn't make *that* much difference 🤔
The paper cited Jasieński & Bazzaz FA (1999)
doi.org/10.2307/3546...
So I checked it out...
#stats
A test of AI would be to have two teams of 5 senior engineers take a stab at this while controlling for quality, testability of the output, and only one can use LLMs.
The scientific method isn't that complicated.
A test of AI would be to have two teams of 5 senior engineers take a stab at this while controlling for quality, testability of the output, and only one can use LLMs.
The scientific method isn't that complicated.
Join Richard Bradshaw for a full-day tutorial on building a value-driven automation strategy rooted in context, testability & impact.
➡️ tinyurl.com/y9366juj
#TestAutomation #Testability #SDET
Join Richard Bradshaw for a full-day tutorial on building a value-driven automation strategy rooted in context, testability & impact.
➡️ tinyurl.com/y9366juj
#TestAutomation #Testability #SDET