AI for Software Testers: GenAI, AI Agents, MCP & N8N

Build a simple ai agent that generates test cases from a website by crawling the page and using an llm to output manual test cases with positive and negative scenarios.

Build a LinkedIn resume builder AI agent that accepts a LinkedIn profile link, generates a modern HTML resume with embedded css, and outputs a pdf url.

Discover how ai multiplies software testing efficiency by analyzing requirements. Analyze user scenarios and ui screens; generate test scenarios and test cases, data, and automation scripts with plain-English prompts.

Artificial intelligence helps testers turn user stories and srs into a foolproof test plan with test scenarios, deliverables, and requirement traceability, demonstrated using a simple gpt prompt for manual testing.

Generate comprehensive test scenarios from the test plan and user stories using AI, producing a document with 80 test scenarios and coverage for functional, negative, validation, security, and integration.

Turn test plan scenarios into a detailed Excel test case suite by prompting AI to generate positive, negative, and boundary cases with titles, steps, data, results, and statuses.

Vibe coding is a modern AI-assisted approach where developers express the idea and intent while AI generates the full code, speeding up automation framework creation and testing.

Install the essentials to start AI in automation: download and install VS Code, set up GitHub Copilot, and install Node.js on Windows, Mac, or Linux.

Generate page locators for web elements and create AI-assisted test cases for positive, negative, and edge scenarios using Playwright TypeScript or Selenium Java.

Leverage an AI agent to set up a Playwright TypeScript automation project from scratch, install dependencies, write a test for a dummy registration form, run the test, and display results.

Learn how ai agents assist in executing and fixing an existing page object model framework for end-to-end, data-driven testing with Playwright and TypeScript across browsers.

Learn how to set up Java development in Eclipse with GitHub Copilot, including installing Eclipse IDE, Java JDK 17, Maven, configuring JAVA_HOME and MVN_HOME, and verifying installations.

Learn how the Model Context Protocol enables AI models to access external tools via MCP servers, safely using Playwright, Selenium, databases, and Excel files.

Create an AI agent that uses the Playwright MCP server to control a browser, navigate to websites, and perform actions like click, type, and form filling.

Configure Claude Code for free by running a local LLM with Ollama and cloud code CLI in PowerShell or CMD. Learn installation, login, and building AI powered coding agents locally.

Explore cloud code, an AI coding agent by Entropiq, that can auto-create a Selenium Python page object model framework from scratch, install dependencies, and generate Playwright Python projects.

Explore building a food delivery AI agent with Swiggy MCP server to search restaurants, view menus, add to cart, and place orders via prompts.

Create a Jira bug reporting agent workflow in n8n by connecting a chat trigger to an AI agent (Gemini model) that creates Jira issues with configured credentials.

Design an AI powered Jira defect automation workflow in n8n that schedules at 9 am, retrieves open bugs, analyzes them with Gemini, and emails an HTML report via Gmail.

Develop an agentic ai powered Jira defect automation workflow that classifies Jira issues into critical, high, normal, or clear priorities, and sends tailored email alerts and reports.