Why Test Automation Needs AI Today?
AI brings a new dimension: it can understand intent, explore user interfaces, and adapt test logic dynamically.
But AI alone is not enough — without structure, it hallucinates fragile selectors, produces inconsistent code and may lose the link to the end-user's intent.
That’s where Agilitest’s approach is different.
Agilitest combines AI with ATS, a functional, human-readable test language that:
• expresses test intent, not only technical mechanics
• works across platforms
• can be reliably generated, corrected, and maintained by AI
This gives teams confidence that their automation stays relevant, readable, and resilient over time.
ATS — A Universal Language for Tests
Because it expresses also business-level intent, it is easily interpreted by both humans and machines.
ATS becomes the shared language between QA specialists, developers, and AI agents.
Interactive REPL — AI Gets Eyes and Hands
• inspects elements
• retrieves structured feedback
• validates actions before recording
This ensures clean and reliable ATS scripts.
AI Feedback loop
This feedback loop helps avoid flaky or brittle tests and increases trust in automated suites.
Automation becomes interactive, predictable, resilient, and scalable.
Real Benefits for AI-Driven Teams
It is about building a structured system where AI, humans, and test repositories stay aligned.
With Agilitest and ATS, AI-driven teams gain:
Faster Scenario Generation
AI can draft structured ATS scripts in minutes, accelerating test creation without sacrificing readability.
Reduced Hallucination Risk
Because ATS provides a stable functional language and the REPL enables live validation, AI produces reliable and verified steps instead of fragile technical code.
Lower Maintenance Costs
Business-level ATS scripts remain stable even as the UI evolves, dramatically reducing long-term maintenance effort. The self healing capabilities of AI insure the technicl integrity of tests towards applications evolutions.
Integrity with Test Repositories
Automation does not live in isolation. ATS scripts can stay aligned with enterprise test management systems such as Jira, Xray, Squash, XQual or Cucumber repositories.
Because ATS expresses functional intent, AI-generated scenarios remain traceable to test cases, requirements, and validation criteria defined in these repositories.
This ensures :
• clear traceability between requirement and automated test
• consistency between manual and automated validation
• controlled evolution when specifications change
Standardized Automation Language
ATS becomes the shared reference between AI agents, QA engineers, developers, and product teams.
Scalable and Governed Automation
Teams can safely scale AI-assisted automation while preserving governance, traceability, and compliance standards.
Automate regression testing
Save time and money
Forget about flaky tests
Integrate CI/CD systems
Ease maintenance
Deploy data-driven testing
Powerful functional testing software tailored for regression testing
Easy integration with the running environnement
Reliable connectors with third party testing apps
Powerful locator system for robust test maintenance
No-code platform for automated functional tests
Easy to use for testers, powerful for developers,
high-performing for all
'We managed to reduce our regression test load by 60%'
More resources about regression testing
Frequently asked questions about regression testing.
What is regression testing?
Regression testing refers to testing a previously tested program, after a modification. It ensures that defects have not been introduced or discovered in unmodified parts of the software, as a result of the modifications made.
These tests are performed when the software or its environment is modified. The objective of a regression campaign is to check whether the changes made to the software (or to its environment) have not caused major bugs in the functionality already in place. And therefore whether these changes have caused major regressions.
This definition highlights important principles such as software testing that has already been tested before or the subsequent modification of the same software. A regression test rarely stands alone. It is part of a coherent set of several tests, each with its own characteristics and objectives.
How often should regression testing be performed?
The frequency of regression testing will depend on the specific software application and the nature of the changes being made. It is generally recommended to perform regression testing after any significant changes have been made to the software, as well as regularly during the development process to catch any issues early on.
Can regression testing be automated?
Yes, regression testing can be automated using tools and scripts. Automating regression testing can help to save time and resources, as well as ensure that tests are consistently performed in the same way.
What types of changes require regression testing?
Any significant changes to a software application, such as new features or modifications to existing functionality, should be subject to regression testing. It is also important to perform regression testing when integrating new modules or components into the software.
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