This was a busy week, so let me go through it topic by topic.
An archive of syllabi. The site now hosts a curated archive of freely available syllabi, curricula and sample exams — from ISTQB, REQB, IREB, TMMi, UXQB, iSAQB, A4Q, DASA, OSSTMM and OWASP. If you are studying for a certification, or just want to see what a syllabus actually contains before you commit, everything is collected in one place: the archive. I’ve been gathering these documents for a while, and it felt wrong to keep them in a drawer.
More honest pages. Every term page now shows who reviewed it and when, and states plainly whenever AI was used in creating the content. Machine-translated pages say so too, with a small badge. I know this kind of transparency is not exactly fashionable, but this site’s whole point is to be trustworthy, so I’d rather be open about how it is made. The embedded forms also changed: they now ask for your consent before loading any third-party scripts, so your data does not leave your browser without you knowing.
Easier to use, for everyone. The menus can now be operated entirely with the keyboard, the language switcher is a proper dropdown with readable language names instead of just tiny flags, the headings follow a sensible order, and the colors meet WCAG AA contrast guidelines — which also makes the text easier to read on any screen. The pages got lighter too: less to download, nothing blocking the rendering, and the metrics that measure loading speed and stability are now kept within a strict budget.
International pages cleaned up. Cross-language linking works properly across all 17 languages now, and I cleaned up over 130 duplicate translation pages that were silently shadowing the correct ones. If a translation looked wrong to you before, there’s a good chance this was why.
More content on term pages. Some pages gained worked case studies — take a look at decision table or test scenario — and 28 verified external resources were added across 16 terms.
Oh, and one more thing: the whole glossary is now also available as a machine-readable export, which researchers and AI tools can use directly.
