By Christian Clausen
Flexibility is essential for long-lived codebases, however, it comes at a price. It requires effort to maintain flexibility and improperly-implemented flexibility can actually make a codebase harder to maintain. In this article, I show how good flexibility can be extracted from the structure of our code with minimal effort. But before we get into that, let’s discuss what flexibility in a codebase means.
From Machine Learning Engineering in Action by Ben Wilson
Before we get into how successful planning phases for ML projects are undertaken, let’s go through a simulation of the genesis of a typical project at a company that doesn’t have an established or proven process for initiating ML work.
From Operations Anti-Patterns, DevOps Solutions by Jeffery Smith
This article covers
Longer release cycles and their impact to the team’s deployment confidence
Automation techniques for deployments
The value of code deployment artifacts
Feature flags for releasing incomplete code
manning.com On this day… Ulysses S. Grant Lays The Foundations For The Weather Service February 9th 1870 Today in 1870, President Ulysses S. Grant signed a joint declaration of congress establishing a mission to “provide for taking meteorological observations at… Continue Reading →
From Writing Great Specifications by Kamil Nicieja
A ubiquitous language has to be a language that grows out of blending technological expertise with business expertise in reasonable proportions. This article discusses how to ‘distill’ business domains from the ubiquitous language of a business or project.