Table of Contents
The Intelligent Test Automation Platform for Fast-Moving Teams
Introducing an AI-based testing platform designed for the modern DevOps ecosystem - featuring low-code automation, intelligent maintenance, and effortless CI/CD integration.
Overview
“Automation shouldn’t slow you down. mabl ensures it never does.”
Automation frameworks have, for a long time, papered over the cracks of the industry’s trade-off between speed and stability.
These tools need a lot of work to keep them running because the things that find what they need on a webpage are not very strong, the scripts that tell them what to do often fail, and it takes a long time to figure out what is going wrong. Tools like Selenium and Cypress are pretty good because they can do a lot of things. They require a lot of time and effort from engineers to make sure they keep working correctly when you use them for big projects, with many tests.
mabl takes a different approach.
Automation frameworks have for a long time, papered over the cracks of the industry’s trade off speed for stability. They need a lot of maintenance. This is because the locators are brittle. The scripts keep failing. Also, debugging takes a time.
Alternatively a concise version could be:
The locators are brittle. The scripts fail often. Debugging takes forever. This means they need a lot of maintenance.
It helps teams build automated tests using a visual interface, and machine learning helps adjust to changes in the UI over time.
Testers no longer have to write excessive amounts of code; they can simply record user journeys, improve them using various validations, and deploy them straight to CI/CD pipelines. Previously, extensive knowledge of automation was needed for this type of work. Now, it is possible for QA engineers, developers, or even product teams.
Workflow
How mabl actually works
Create: Record user journeys
With mabl's browser extension, you can easily document real user flows. Every action, input, and navigational step is recorded automatically.
Enhance: Add intelligent assertions
Insert validations, dynamic waits, and data-driven inputs using a simple UI. No heavy coding required.
Train: ML-powered understanding
mabl learns your application’s structure, identifying stable attributes and reducing reliance on fragile selectors.
Execute: Cloud-based test runs
Tests run in the cloud across multiple browsers with built-in parallel execution.
Auto-Heal: Smart test maintenance
When UI elements change, mabl attempts to adapt automatically using its learned patterns - minimizing test failures.
Analyze: Actionable insights
Detailed reports highlight failures, performance issues, and trends - helping teams act quickly.
Capabilities
Features that simplify QA workflows
Flagship Feature: Low-code test automation
Create and manage tests without writing complex scripts. Ideal for teams transitioning from manual processes.
Smart Maintenance
Mabl uses machine learning to reduce test flakiness and maintenance by adapting to user interface changes. This means that mabl is really good, at dealing with user interface changes. The main goal of mabl is to reduce test flakiness and maintenance. Mabl does this by using machine learning to adapt to these user interface changes.
Integration
The system works well with other tools like Jenkins and GitHub Actions and Azure DevOps. It is easy to get this system to work with these tools. This system integrates with CI/CD tools, like Jenkins, GitHub Actions and Azure DevOps.
Execution
We need to run tests on our website using browsers. This will help us see if our website works well on all of them. We can use a cloud system to do this. The cloud system can be made bigger or smaller as we need it to be. This way we can run tests on browsers at the same time using the cloud infrastructure. We will run tests across browsers with this scalable cloud infrastructure.
Security
This system is ready for companies. It has security to keep things safe. It also has access, for different roles and it meets all the necessary rules. The system is made to work with environments, role-based access and compliance needs.
Scenarios
Where mabl makes the biggest impact
Agile teams with rapid releases
Frequent deployments require fast and reliable testing. mabl ensures test coverage keeps up with development speed.
Teams transitioning from manual testing
Organizations moving from manual QA testing to automation can adopt mabl quickly due to its low-code approach.
Startups and mid-sized companies
Teams without dedicated automation engineers can still build robust test suites efficiently.
Web applications with frequent UI changes
mabl’s adaptive learning helps maintain stability even when the UI evolves regularly.
Continuous testing in CI/CD pipelines
mabl integrates seamlessly into pipelines, ensuring every build is validated before release.
Final Take
mabl is not trying to replace testers , it’s trying to empower them.
Mabl brings automation to teams that usually do things by hand. This makes it easier for teams to get started with automation. Mabl is also smart enough to keep tests working over time. For a lot of software testing companies mabl is a choice because it is easy to use and can do many things. Mabl has a balance of being easy to use and being very capable. This is why companies, like mabl.
That said, mabl is best suited for teams prioritizing speed and simplicity over deep customization. While it may not offer the full autonomy of next-gen AI tools, it delivers consistent value in real-world scenarios - especially where manual QA testing still plays a role alongside automation.
For organizations concerned about compliance and risk, combining mabl with proper QA security testing practices ensures both functional quality and application safety.
About Author
Mayur Rathod is currently working as a Quality Assurance Manager in PixelQA - one of the best Software Testing Company in India. He started his journey in 2014. He started his career as a .net developer but he didn't find any challenge in it, so he moved to the QA field.
He believes in taking challenges in professional life. In the future, he wants to be an expert in Load performance testing, Database testing, and automation.