Vibe Testing In 2026: Manual Testing With Ai Tools
Published 4/2026
Created by Martin Homola
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 68 Lectures ( 2h 19m ) | Size: 1.2 GB
What you'll learn
✓ Use Claude, ChatGPT, and Gemini to generate test cases and bug reports from rough notes in minutes
✓ Build sprint test plans with Gemini in Google Docs and Windsurf reading your repo files directly
✓ Connect Claude Desktop to Jira via MCP to create test cases and bug tickets automatically - no copy-paste
✓ Run autonomous exploratory testing sessions with Antigravity and review its findings with professional judgment
✓ Use Cursor and GitHub Copilot to write code-referenced bug reports and trigger automatic fix pull requests
✓ Complete the full QA cycle on two real broken apps - TechShop guided and BookNow as an independent capstone
Requirements
● No coding experience required - this is 100% manual testing, no scripts or programming
● A laptop or desktop with Chrome browser (Mac, Windows, or Linux all work)
● Free accounts at Claude and ChatGPT- the free tiers cover everything in this course
● A basic idea of what software is - no prior testing experience needed
Description
Manual testing is not going away. But the way you do it has changed completely.
In this course you will learn vibe testing - the practice of combining your human judgment as a tester with AI tools that handle the writing, formatting, structuring, and filing so you can focus on what only a human can do: deciding what matters, spotting what feels wrong, and making the call on whether software is ready to ship.
By the end of this course you will have completed a full testing cycle on a real application using nine AI tools - and you will walk away with a portfolio of deliverables you can show a hiring manager.
What you will produce
- A feature inventory built from source code using Claude
- A sprint test plan in Google Docs (Gemini) and in your repo (Windsurf)
- 40+ test cases logged directly into Jira via MCP
- An exploratory testing session run by Antigravity
- Professional bug reports generated with ChatGPT and Cursor, with code references
- Verification of all 18 bug fixes against original reports
- A complete test summary report with a go/no-go recommendation
- A capstone project on a new application you have never seen
Tools you will use
- Claude web and Claude Desktop + MCP
- ChatGPT and Gemini
- GitHub Copilot, Cursor, and Windsurf
- Antigravity
- Jira
Every tool has a free tier. You do not need to spend anything beyond the course.
What makes this course different
Most AI testing content shows you prompts. This course shows you a complete professional workflow - from test plan to test report - using tools hiring managers already recognise. You will not just see the prompts; you will see the output, the review process, and how to catch what the AI gets wrong.
Who this course is for
■ Manual testers who want to add AI tools to their workflow and stay competitive in 2026
■ Career changers entering QA who want a practical, modern foundation with real tools and real Jira deliverables
■ Developers who test their own work and want to move faster with AI as a co-pilot
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