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AI QA engineer that tests web, iOS, and Android apps end to end.

AI testing platform for unit, integration and API tests

AI user testing with synthetic and human testers, run inside the tools you already use.

Manage manual test cases and runs, then bring automated results into a shared QA workspace.

Run and coordinate existing test workflows across Kubernetes runners, then inspect their logs and artifacts.

Design API specifications, send requests, generate mocks, run tests, and publish documentation in one project.

Generate Java unit-test code from IntelliJ classes and methods, with CLI and CI options in paid editions.

A Java code-coverage library that records which instructions, lines, and branches run during tests.

Checks code quality and security with JetBrains static analysis in IDEs and CI pipelines.

A project-based JavaScript and TypeScript IDE with code navigation, refactoring, testing, and debugging tools.

The Microsoft test framework for writing and running unit tests in .NET projects.

Experimental Android app for testing per-app Tor routing

Automated testing and monitoring for voice and chat AI agents

Manage requirements, projects, tasks, tests, and delivery workflows in an integrated lifecycle platform.

A C and C++ IDE that connects project editing to your compilers, build system, debugger, and tests.

Scan project dependencies for publicly disclosed vulnerabilities and review the resulting component report.

A Python command-line toolkit for authoring and running declarative chaos experiments against configured systems.

CodeAnt AI provides AI agents for code review, security testing, and cloud security.

Automate repository workflows in a self-hosted Gitea instance.

Run repository workflows on events such as pushes, with jobs executed by GitHub-hosted or self-hosted runners.

Connect one application to email accounts across major providers through a normalized API and webhook workflow.

Develop, test, debug, and deploy Java, Java EE, ADF, and web-service applications in Oracle's IDE.

Run container-native workflows as DAGs or ordered steps on a Kubernetes cluster.

Experiment with Lightning-funded ecash and NFC transfers