Testing and quality
21 use cases, 7 specialists
Test automation engineer
Automated tests in Playwright with AI
Writes end-to-end automated tests for the site's key scenarios in Playwright or Cypress with reliable locators and data setup through the API.
Flaky automated tests: AI assistant finds the cause
Investigates intermittently failing tests using logs, traces, and screenshots, finds the root cause, and replaces hard-coded waits with condition checks.
AI for setting up automated test runs in CI
Prepares a pipeline configuration for running tests in parallel, saving traces and video on failures, and tracking the share of flaky checks.
API tester
API testing with AI
Writes automated tests for responses, error codes, and boundary values from an API description or a request collection, runs them, and compiles the results into a report.
AI tester checks API authorization
Checks that API methods do not return data without login or to the wrong user and describes the problems found with example requests.
Checking API documentation against real behavior: AI agent
Runs the examples from the API documentation, compares them with the actual responses, and makes a list of discrepancies and backward compatibility violations.
Load testing specialist
Website load testing with AI
Writes load scenarios for k6 or JMeter, runs them, and compiles the results into a report with response time, error rate, and the system's limit.
How many leads a slow website loses: calculation with AI
Estimates how load time relates to conversion from page speed measurements and analytics data and calculates which speedups will yield the most, without presenting a coincidence as a proven cause.
Calculating server capacity for growing load: AI can help
Calculates in Excel, from measurement data and expected visitor growth, how many resources will be needed and where the system will hit its limit first.
Accessibility auditor
WCAG website accessibility check with AI
Checks the site's pages for compliance with WCAG 2.2, flags violations with the criterion number and severity, and suggests code fixes.
Website for low-vision users: AI audit of screen readers and contrast
Checks how pages are read by screen readers and scale up to 200–400%, checks contrast and high-contrast mode, and suggests markup fixes.
Bug evidence collector
Bug report with screenshots: AI assistant for testers
Takes screenshots of pages, records the steps to reproduce, and writes up each bug so that a developer can reproduce it.
Website testing on phones with AI
Takes screenshots of pages at different screen sizes and checks whether forms, menus, expandable blocks, and theme switching work, recording every failure.
Website form testing with AI: inquiries, sign-up, errors
Goes through the site's forms (inquiry, sign-up, checkout), checks required fields, error messages, and submission, and backs up every failure with a screenshot.
Readiness reviewer
Website acceptance from a contractor with an AI assistant
Checks the finished site against the acceptance criteria using screenshots and scenario walkthroughs and gives a verdict: accept, or return with a list of what is missing.
Acceptance criteria check: AI agent
Checks the work result against the acceptance criteria point by point, requiring evidence for each one, and returns the task with a list of what was not confirmed.
Is the product ready for release: a check with AI
Goes through end-to-end user scenarios, checks them against the testers' findings, and writes an honest readiness assessment with a list of blocking issues.
Test results analyst
Test results analysis with AI
Compiles test run exports into a report: the share of checks passed, recurring failures, and the modules with the most errors.
AI assistant for a quality report for management
Prepares a quality summary in Word or PowerPoint with charts, risks, and clear conclusions about release readiness.
Quality metrics and defect density: calculation with AI
Calculates defect density, coverage, and changes across versions in Excel and shows where quality is declining.