Mabl
AI-powered no-code test automation for web, mobile & APIs
What is Mabl?
Try Mablmabl is an AI-native test automation platform built to keep end-to-end test coverage up as teams ship faster than traditional test automation can keep up. It automatically authors new tests, runs them continuously, analyzes failures before engineers get paged, and proposes recoveries when the app changes. Built for developers, mabl delivers targeted quality signals right in the places you already work, including your IDE, CI pipeline, and Jira via Atlassian Rovo.
What problem does mabl solve for fast-shipping software teams?
mabl automatically closes the gap between how quickly code is shipping and how well test coverage can keep up. It continuously maintains coverage by authoring new tests, running them, analyzing failures, and proposing recoveries as the application evolves.
How does mabl help developers without deep test-automation expertise?
mabl is described as usable by people without deep technical expertise, making testing more sustainable for teams over the long run. It also brings failure context to where developers work, so you can identify what broke and review results without hunting across tools.
How does mabl decide which tests to run in CI?
mabl uses Test Impact Analysis to identify which tests are relevant to each code change and surfaces them for targeted feedback. This helps teams avoid waiting on full suite runs by running only what matters for the changes shipped.
How does mabl handle UI changes and failures mid-run?
mabl detects failures during execution and can handle recovery automatically, including anchoring on configured test ID attributes like data-testid. For significant changes, it surfaces proposal options for your team to review while keeping feedback moving.
Where will developers see failure analysis and debugging details?
mabl surfaces failure context automatically in places like your IDE, Jira board, and CI pipeline, with root-cause context delivered via the MCP Server or as a Jira ticket. It also supports failure clustering and triage so you can separate test updates from real regressions, along with flakiness signals.
Which tools can trigger and report mabl test runs?
mabl includes native integrations with GitHub Actions, GitLab, Jenkins, and Azure DevOps, and it also connects through tools teams already use like Jira via Atlassian Rovo, plus Slack and Microsoft Teams. It can also fit into broader workflows with options such as Postman, Bitbucket, Segment, CircleCI, Octopus Deploy, BigQuery, and Webhooks.