AITest creationExploratory

    How do you generate test cases automatically with AI?

    QA.tech generates tests five ways, so coverage can grow from wherever your team already works: a plain-language description, a crawl of your app, an issue tracker, your pull requests, or the API. You review and approve rather than author from scratch, which removes the slowest step in growing coverage.

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    Sub-use-cases

    • AI Chat

      Describe a goal in plain language and QA.tech generates the test.

    • Crawler / coverage gaps

      QA.tech crawls your app and suggests cases for untested areas.

    • Issue tracker

      Connect a Linear or Jira ticket and its acceptance criteria become tests.

    • PR / MR review

      The GitHub or GitLab integration analyses the code diff on every pull request, creates tests for untested changes, runs them against the preview deployment, and posts a review comment with results.

    • REST API

      Trigger test creation or runs programmatically from any CI/CD system (GitHub Actions, GitLab CI, Bitbucket and others).

    1. 01

      What AI can generate tests from

      Plain-language test creation, crawl-based suggestions for untested areas, ticket-to-test from acceptance criteria, and coverage-gap analysis.

    2. 02

      How does AI generate test cases?

      The agent uses the knowledge graph from its crawl to interpret a goal or ticket and produce step-by-step cases ready to review; it can also map covered vs uncovered areas and propose tests to fill gaps.

    3. 03

      When to generate tests with AI

      When coverage lags feature velocity, or when standing up tests on an app that has none.

    4. 04

      Who uses AI test generation

      QA engineers, developers and PMs who need coverage without scripting.

    5. 05

      How QA.tech helps

      Authoring is the real bottleneck in growing coverage. QA.tech generates the cases – from goals, crawls or tickets – so your job is reviewing, not writing.

    Companies running ai test generation testing with QA.tech

    FAQ

    Common questions

    Can QA.tech generate tests from a Jira or Linear ticket?
    Yes – QA.tech reads the ticket's acceptance criteria and proposes matching test cases.
    Can QA.tech create tests from a pull request?
    Yes – the GitHub or GitLab integration analyses the diff on each PR, generates tests for the untested changes, runs them against the preview deployment, and posts the results as a review comment.
    Can QA.tech generate tests through an API?
    Yes – the REST API triggers test creation and runs from any CI/CD system.

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