Postman API Automation Testing Tutorial Advance Usage AI Assistant Postbot Trial Introduction
A 2024 trial of Postman's Postbot assistant, covering generated request tests, response visualization, field extraction, and API documentation.
Quality Analyst, Not Quality Assurance.
A 2024 trial of Postman's Postbot assistant, covering generated request tests, response visualization, field extraction, and API documentation.
List five AI testing uses from the author's research: test data generation, defect prediction, visual testing, QA knowledge bases, and test-tool development.
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.
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.
A deep dive into advanced Pytest usage, focusing on how Pytest is support multiple environment and integration allure report.
A deep dive into advanced Pytest usage, focusing on how Pytest is commonly asserted and data-driven.