AI & QA
4 articles
-
AI bots that play your game: game-QA automation in 2026
AI agents for game testing: how they differ from scripted automation, what they actually do (24/7 exploratory play, crashes, balance, video logs), the limits and risks, who's on the market (modl.ai, AltTester, GameDriver), when to use AI bots and when plain automation is enough. A pilot checklist.
-
Claude in QA is overrated — 10 scenarios where it falls short, and where it actually pays off
The QA community has hyped «Claude will replace manual QA». In production those promises don't hold up. A contrarian breakdown without anti-AI rhetoric: 10 overrated scenarios, 5 systemic limits, hidden risks, and 5 places where it actually works.
-
AI and auto-healing locators in autotests — what actually works in 2026
The most expensive part of a mature autotest suite is locator maintenance. A whole class of products was built around that pain under the «AI-powered» label. 8 sections: what's under the hood, Healenium vs Mabl/testRigor/Functionize, where LLMs actually work, risks, and a rollout plan.
-
Claude for QA engineers: 10 real scenarios and prompts
AI assistants have moved from 'novelty' to legitimate working tool. For QA, this is especially powerful — routine tasks like test-case generation, log triage, prompt-shaped data.