By Kjell Omdal Erichsen, Testify I’ve been using AI tools in my daily work for about twenty months now. Not to replace testing, but to do more of it, faster, in situations where the alternative was simply not testing at all. Here are three short stories to illustrate what that actually looks like. #1 The…
Category Archives: AI
Why the rise of AI-assisted development makes precise specifications more important, not less. There is a conversation happening in software and testing teams right now that goes roughly like this: “We have Claude now. We can just describe what we want in plain English and get code back. Do we still need all the formal…
Recently, we put four very different LLMs through a grueling testing gauntlet to see if they can move beyond simple chat and handle complex, structured data modeling. The benchmark tested their ability to generate logic nodes, handle deep structural nesting and flattening in YAML, inject localized mock data, and parse multi-modal inputs (Images and PDFs)…
Why We Need a GUI editor We built tomato to make model-based testing powerful and practical. The CLI lets us define complex domains and generate structured test data with strong coverage, but as models grew, they became harder to understand, share, and evolve. Tomato GUI is our solution: a graphical model editor that clarifies complexity….
Vibe coding er allerede en realitet i bransjen, men gir store kvalitetsutfordringer. QA-rollen blir mer kritisk enn noen gang, og team som lykkes vil være de som tilpasser seg, lærer nye ferdigheter og tar i bruk nye verktøy og metoder for å sikre kvalitet i en AI-drevet utviklingshverdag. Chao Tan, fagansvarlig for fagområdet “Kunstig intelligens”…
Siste fagsamling før sommeren var en workshop om AI, fasilitert av vår egen Chao Tan. Chao er fagansvarlig for fagområdet “Kunstig intelligens” i Testify, og har doktorgrad i bruk av maskinlæring/AI for automatisert testdatagenerering. Vi var med andre ord i svært så trygge hender 🙂 Som en del av workshopen fikk vi alle dele våre…