Posts on social media can make an otherwise obscure Wikipedia article go viral. A new traffic report gives English Wikipedians new insight into which ones are being read and shared most on four major social media platforms.
LibUp writes a commit message by mostly analyzing the diff, fixes up some changes, and pushes the commit to Gerrit to pass through CI and be merged. If npm is aware of the CVE ID for the security update, that will be mentioned in the commit message. Each package upgrade is tagged, so if you want to e.g. look for all commits that bumped MediaWiki Codesniffer to v26, it’s a quick search away.
Maintaining and improving one of the largest websites in the world using Open Source software requires a continuous commitment. The site is always evolving, so for every new component we want (or need!) to deploy, we need to evaluate the Open Source solutions available.
One of the main aims of Wikidata is to represent knowledge in a way that is computable—that is, amenable to automatic processing. Wikipedia already contains a lot of information; much of it is reasonably easy for a human to understand—though some of the more esoteric bits are decidedly not—but it’s not at all readily crunchable by a computer.
WikimediaDebug is a set of tools for debugging and profiling MediaWiki web requests in a production environment. WikimediaDebug can be used through the accompanying browser extension, or from the command-line. This post highlights changes we made to WikimediaDebug over the past year, and explains more generally how its capabilities work.
The Coolest Tool Award acknowledges projects and with that, all the people who have been contributing to those projects — primarily the developers and maintainers, and the people who help with documentation, translation, feedback, technical advice, design or communication.
We’re taking part in the ongoing Event Timing Chrome origin trial, in order to experiment with that API early and give feedback to its designers.
When we set out to ask Wikipedia visitors their opinion of page load performance, our main hope was to answer an age-old question: which RUM metric matters the most to users? And more interestingly, which ones matter the most to our users on our content.