AI & QA
6 articles
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How QA Should Work with Claude: a Workflow, Not a Toy
Claude saves hours of QA busywork — if you treat it like a junior teammate, not a search box. A breakdown of the workflow, the tasks it closes, and where not to trust it.
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QA Prompts: Templates That Actually Save Time
The formula for a good prompt plus seven ready-made templates for everyday testing tasks — from generating test cases to log analysis and requirements review.
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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.
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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.
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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.
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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.