Research digest The research that actually changes what you build. arXiv, lab papers and reproducibility notes

LLM APIs

Research digest

Beyond setup.py: Five Best Practices for Building Robust Python AI Libraries
Byeditor October 7, 2026October 9, 2026

Most Python packaging advice was written for a different kind of library. The canonical example is something that calls a database, parses a file, or wraps an HTTP endpoint, and the failure modes follow from there: a connection that times out, a malformed CSV row, a 404.

Read More Beyond setup.py: Five Best Practices for Building Robust Python AI Libraries

AI research and scientific papers translated for working engineers: the method before the result, the baseline flagged when it is weak, and a link to the artifact every time.

The research that actually changes what you build.