What is mabl?
mabl is an AI-native test automation platform built for modern software teams who need to ship high-quality code fast—without getting bogged down by flaky scripts or endless maintenance. Since 2017, mabl has been embedding artificial intelligence directly into every stage of testing, from creating and running tests to analyzing results and fixing broken ones automatically.
Unlike traditional tools that require heavy coding or constant manual updates, mabl acts like a smart digital teammate—handling repetitive tasks so developers, QA engineers, and product leaders can focus on innovation. Whether you're testing web apps, mobile interfaces, or APIs, mabl’s agentic AI adapts to UI changes, spots real issues, and integrates smoothly into your existing workflows (like Jira, IDEs, and CI/CD pipelines).
What are the features of mabl?
- Agentic Testing: An AI-powered "digital teammate" that autonomously creates, executes, analyzes, and maintains tests with minimal human input.
- AI-Native Automation: Built-in intelligence since 2017 that understands application behavior, enabling self-healing tests and smarter failure analysis.
- Low-Code Test Creation: Anyone—not just coders—can build reliable end-to-end tests using intuitive recording or natural language prompts.
- Cross-Platform Coverage: Supports web, mobile (iOS & Android), and API testing, including Postman collection imports.
- Auto Triage & Healing: Automatically diagnoses test failures, suggests root causes, and fixes broken selectors—reducing false positives.
- Active Coverage: Dynamically maintains test coverage as your app evolves, ensuring critical user journeys stay validated.
- Semantic Search: Lets teams discover, reuse, and understand existing tests based on intent—not just names or tags.
- Deep Integrations: Works natively with Jira, Xray, GitHub, Slack, and popular IDEs for seamless feedback loops.
What are the use cases of mabl?
- QA teams automating regression suites without writing or maintaining brittle Selenium scripts.
- Developers getting instant test feedback in their IDE during pull requests—no context switching needed.
- Engineering leaders scaling quality across dozens of microservices while cutting release cycle time.
- Non-technical product owners validating key user flows (like checkout or login) using low-code tools.
- Enterprises in regulated industries (healthcare, finance) ensuring compliance through consistent, auditable test runs.
- Mobile app teams running parallel iOS and Android tests across real devices and emulators.
- Companies replacing manual sanity checks with autonomous production monitoring that catches regressions before users do.
How to use mabl?
- Start by recording a user journey directly in your browser—mabl captures actions intelligently, not just clicks.
- Use natural language prompts (e.g., “Test login with invalid credentials”) to generate tests via the AI assistant.
- Connect mabl to your CI/CD pipeline to run tests automatically on every code commit or deployment.
- Review test results in the dashboard: failed tests include screenshots, DOM snapshots, and AI-powered diagnostics.
- Enable Auto TFA (Test Failure Analysis) to auto-create Jira tickets with actionable insights for developers.
- Customize test data and environments using mabl’s built-in variables and parameterization—no scripting required.
