AI-Driven Test Case Generation
How to use LLMs to generate test cases from user stories, requirements, and production logs, plus patterns for reviewing and maintaining AI-generated suites.
Hi! I'm Oleg Neskoromnyi — QA engineer exploring AI in testing.
AI-Powered QA Testing, Explained for Working Teams
Learn how to use AI for test generation, execution, and analysis with real-world experiments, honest results, and lessons learned from software QA teams.
- ✓Real experiments - what worked, what failed, and what I learned along the way.
- ✓No hype, no vendor decks - just honest results from production testing workflows.
- ✓Actionable from day one - techniques you can apply to your QA workflow this week.
What You'll Learn Inside QaHub.AI
Practical, AI-focused guides for every layer of your QA workflow.
AI-Assisted Test Automation Frameworks
Architecture patterns for integrating AI into your existing UI and API automation, with real examples of what actually improves maintainability and what doesn't.
Prompt Engineering for Testers
Prompt templates for test case design, bug reproduction, risk analysis, and exploratory testing that work in real CI/CD pipelines, not just demos.
Modern Quality Leadership with AI
Using AI to shift from reactive bug-catching to proactive quality strategies, with reporting and metrics leaders actually care about.
Latest from the Blog
Deep-dive guides based on real experiments — not vendor decks.
'Dev is done' isn't done: dev and QA are one team
Splitting a story into dev points and QA points treats testing as a second team's problem. It isn't. One feature, one team, one definition of done.
6 min read→
Writing Code Got Cheap. Deciding What to Build Got Hard.
I run two AI chats to ship one PR: one plans, one builds. The code is the cheap part now. The hard part is deciding what to build.
7 min read→
The Hardest Part of Building With AI Is Knowing When to Stop
I built a full CLI tool in a week with AI — then realized I still hadn't shipped it. Knowing when to stop building is the skill AI made essential.
5 min read→
At AI Con 2026, everyone agreed: QA is harder now
I attended AI Con 2026 expecting hype. Six days of sessions later, the takeaway was clear: AI making code easy makes validation harder.
6 min read→
Meet Oleg: QA Practitioner Exploring AI
Two decades of leading QA teams, building automation frameworks from scratch, and shipping quality software under real constraints. Now I experiment with AI-powered testing agents and share everything I learn on QaHub.AI - the wins, the failures, and the practical workflows that actually ship.
- ✓Built custom GPTs, AI testing agents, and automated QA workflows using Claude, Copilot, and OpenAI.
- ✓Every technique on this site was tested on a real project first - not theory.
- ✓Core belief: AI isn't here to replace testers - it's here to multiply their impact.
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