30 Days of AI in Testing Challenge: Day 1: Introduce yourself and your interest in AI
Share the author's QA background, interest in AI testing, and goals for learning how AI can improve manual and automated testing.
Quality Analyst, Not Quality Assurance.
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Share the author's QA background, interest in AI testing, and goals for learning how AI can improve manual and automated testing.
Build a Bruno API test project from scratch, write GET and POST checks, configure environment variables, run tests with the CLI, and generate JSON reports for CI.
Learn to send HTTP requests with k6, inspect built-in and custom metrics, and use checks to validate response status codes and bodies.
Install k6 on macOS, Windows, or Docker, write and run your first JavaScript performance test, and read the resulting test summary.
This blog post is a statement on the plagiarism of my articles.
Browse API automation project tutorials for Java with REST Assured, JavaScript with SuperTest, and Python with Pytest, plus Postman and Bruno tool guides.
Use Newman to upload files, choose output and reporting options, and configure client certificates or trusted CA certificates for API tests.
Drive Postman requests with environment variables and external data files, then debug and automate both types of data-driven tests.
Explore Postman response and pre-request scripts, with examples using Chai, Cheerio, tv4, uuid, xml2js, and utility functions.
Generate HTML reports with newman-reporter-htmlextra, run Postman tests in GitHub Actions, and add Allure test reports.
Set up a Postman API automation project with collections, requests, test scripts, environment configuration, and Newman execution and reports.
Filter Pytest cases with markers, run them in parallel with pytest-xdist, and see how the tutorial distributes execution across workers.