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Vibe testing in 2026: Manual Testing with AI Tools

Name: Vibe testing in 2026: Manual Testing with AI Tools
Rating: 4.9 (39 reviews)

The AI-powered testing workflow that turns a full sprint cycle into a single morning.

Highest Rated

New

Created byMartin Homola

Last updated 4/2026

English

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

Course content

13 sections • 69 lectures • 2h 19m total length

Welcome and Why This Course Exists1:55
Combine human judgment with AI tools to automate writing, formatting, and drafts in manual testing, while you understand the user, recognize issues, and decide when software is ready to ship.
Vibetesting Community0:11
What This Course Covers — Section by Section2:31
What You Will Produce by the End2:10
What Is Vibetesting?1:27
Why AI Is Changing Manual Testing1:32
What You Will Build and Test1:35
You Showed Up — The Mindset That Makes This Work1:33
What Is Vibetesting?

Overview — Everything You Need to Set Up1:07
Set up nine free AI testing tools—ClaudeWeb, ClaudeDesktop, MCP, ChadGPT, Gemini, Gyra, GitHub Copilot, Cursor, wind surf as a GENTIG IDE option, and An Antigravity—to ensure frictionless demos.
Set Up Claude, ChatGPT, and Gemini2:42
Set up Claude, ChatGPT, and Gemini to perform vibe testing with AI tools; explore browser-based, no-install access, sign-up steps, and Google Workspace integration for generating content in Google Docs.
Install Claude Desktop1:53
Set Up Jira and Configure MCP7:04
Set Up GitHub Copilot2:43
Set Up Cursor and Windsurf3:58
Set Up Antigravity and Run Your First Vibe Test2:41
Your First Test Is Already Done1:27

Introducing TechShop — Your Demo Application1:33
First Impressions Walkthrough — Finding Bugs by Using the App3:44
Explore the app as a first-time user to spot defects like a broken image and a dead checkout button, then use ai-assisted developer tools to reveal an empty-order bug.
Use AI to Build a Feature Inventory from Source Code2:13
Why Most AI Prompts Fail1:33
The Four-Part Prompt Structure — Role, Context, Task, Format1:32
Iteration — How to Improve Output with Follow-Up Prompts4:03
The Testing Instinct Builds Every Session1:33
Meet the App & Prompt Engineering

Why the Test Plan Comes Before Test Cases1:37
The Chatbot Way — Test Plan with Gemini and Google Drive2:40
The Agentic Way — Test Plan with Windsurf from Repo Files1:51
The cascade agent in Windsurf reads repo requirements and bug lists to generate a grounded sprint test plan with entry, exit criteria, prioritisation, risks, and saves it to the project.
Exit Criteria Is the Part That Ends Arguments1:33
Building a Test Plan with AI

Why Jira — Professional Test Management Hiring Managers Recognise1:20
Why MCP — Verify Your Jira Connection1:24
How We Structure Test Cases in Jira1:44
The Chatbot Way — Generate Test Cases with Claude Web4:06
The Agentic Way — Claude Desktop and MCP Log Directly to Jira3:43
How to Review AI-Generated Test Cases — The Four-Pass Method1:44
The Full Agentic Loop — Auto-Fix and Pull Request with GitHub Copilot2:28
The Four-Pass Review Is Where Your Expertise Lives2:12
Test Case Design with AI

Anatomy of a Great Bug Report2:09
The Chatbot Way — Batch Bug Reports with ChatGPT1:30
Generate professional bug reports with ChatGPT, batch-process findings from a shopping cart exploratory session, and prepare five reports for logging in gyra.
The Agentic Way — Cursor and MCP Create Jira Bug Tickets with Code References2:09
Severity vs Priority — Never Confuse Them Again1:49
Your Findings Land Every Time1:55
Writing Bug Reports with AI

What a Test Report Is and Why It Matters1:28
The Chatbot Way — Manual Data to Claude1:37
The Agentic Way — Claude Desktop and MCP Read Jira Directly1:50
The Complete Testing Cycle1:09
The Go/No-Go Recommendation Is Always Yours1:18
Translate your testing report into actionable risk and coverage in a Go/No-Go recommendation, owning the conclusion and offering conditional ship criteria to build stakeholder trust.
Test Reports with AI

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 stay relevant as AI changes the industry

- Career changers entering QA for the first time

- Developers who want to understand structured testing

- Anyone who has tried AI tools for testing but has not had a repeatable workflow to follow

If you are a tester who wants to do in one hour what used to take a full day — this course is built for you.

A note on how this course was made:

Every script, test artefact, and resource in this course was produced using the same AI-assisted workflow you will learn here. This is not a course about AI tools built the traditional way — it was built with them. What you see on screen is what the workflow actually produces.

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

Vibe testing in 2026: Manual Testing with AI Tools

What you'll learn

Explore related topics

Course content

Welcome and What Is Vibetesting?8 lectures • 13min

The AI Tools Landscape for Testers6 lectures • 12min

Getting Set Up — All the Tools You Need8 lectures • 24min

Meet TechShop and Learn Prompt Engineering7 lectures • 16min

Building a Test Plan with AI4 lectures • 8min

Test Case Design with AI8 lectures • 19min

Exploratory Testing with Antigravity4 lectures • 8min

Writing Bug Reports with AI5 lectures • 10min

Bug Fix Verification and Regression Testing4 lectures • 6min

Test Reports with AI5 lectures • 7min

Requirements

Description

Who this course is for: