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

Apple's Mac IDE for building, testing, debugging, and distributing apps for Apple platforms.

Project portfolio management software for PMOs and project-driven teams

AI-driven checklist, process and SOP management for teams

AI content platform that predicts which copy will perform better

Store application records in a managed key-value and document database built around access patterns.

A visual Flutter app builder with an in-app code editor for adding custom Dart behavior.

Launch a bundled lightweight cloud server with one-click application images and a unified VPS console.

Practice-test and study-resource collections covering admissions, careers, nursing and other exams.

A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.

Record and schedule browser tests for web flows without writing the test steps by hand.

Prompt management tool and community-driven prompt library for AI models

Data-driven running, cycling and triathlon plans with connected workout delivery

Run repository builds after pushes using a versioned `.travis.yml` configuration.

Run web and mobile application tests on hosted browsers and physical devices without maintaining a device lab.

An Android UI testing framework for expressing screen actions and assertions in app tests.

Complete test fonts and retail typefaces with modular production licences.

Check website and server availability from external locations and alert a team when a test fails.

Use mutation testing to see whether a JVM test suite catches deliberately changed code.

Design, send, test and mock API requests from a desktop workspace with local, Git or cloud storage options.

Define API load scenarios and Playwright end-to-end runs, then analyze their reports in Artillery Cloud.

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

Creates API and integration regression tests from API specifications or recorded application traffic.

Run Python tests with readable assertions, fixtures, parametrization, and failure reports.