Artificial Intelligence is transforming software testing by automating repetitive tasks and helping QA engineers become more productive. One practical example is an AI-powered Test Case Generator that converts software requirements into structured test cases within seconds.
In this project, we built a completely free local AI application using Node.js, Express.js, HTML, CSS, and JavaScript, powered by Ollama running a local large language model. Since the AI model runs on your own machine, there are no API costs, making it an excellent solution for learning and experimentation.
The application follows a simple workflow. A user enters a software requirement through a browser interface. The backend sends the requirement to Ollama with a carefully designed prompt, requesting structured test cases in JSON format. The generated response is then displayed in the web interface and exported to an Excel file for easy sharing and documentation.
Key Features
- Generate test cases from plain-text requirements
- AI-powered using a local Ollama model
- No cloud API or subscription required
- Browser-based user interface
- JSON output for easy integration
- One-click Excel export
- Completely free to use locally
Technologies Used
- Node.js
- Express.js
- HTML
- CSS
- JavaScript
- Ollama
- xlsx
- dotenv
This project is a great starting point for anyone interested in combining AI with software testing. It demonstrates how modern AI models can assist QA engineers by reducing manual effort while improving productivity.
In future articles, we’ll extend this project by building AI agents capable of generating LinkedIn posts, Playwright automation scripts, XPath locators, API test cases, and more.
The complete source code is available on GitHub:
https://github.com/bhupi42/AITestcases
Stay tuned to Codebun for more tutorials on AI, automation testing, Playwright, Selenium, and modern QA engineering.
