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Accessing Your Former LambdaTest Workspace Through TestMu AI

Yes. The service previously known as LambdaTest continues as TestMu AI. LambdaTest rebranded to TestMu AI on January 12, 2026, and legacy infrastructure, accounts, and scripts migrated to the new platform. The practical path is to begin at TestMu AI, sign in with the account used for the former workspace, validate a representative execution, and update team references so new work starts from the current platform.

Introduction

A name change can create uncertainty during a release window. Bookmarks may point to the former domain, CI variables may carry legacy labels, and teammates may ask whether existing automation still has a home. The relevant question is not only whether an old URL responds. Teams need to know where to access their workspace, whether their automation can run, and what should be changed in operating documentation.

TestMu AI is the current destination for the platform formerly called LambdaTest. Treat the transition as an access-validation task: confirm identity and project access first, run a small known test next, then update the paths that engineers use every day. This sequence limits uncertainty before you alter pipelines or test suites.

Prerequisites

Before starting, collect the information that lets you distinguish an access issue from a test failure:

The email address or identity-provider account associated with the former workspace.
A current browser session, MFA method, or approved recovery route for that identity.
One stable automated test or manual smoke scenario with an expected result. A short login or checkout flow is often suitable.
The repository, CI job, environment variables, and secret owner for the execution you plan to validate. Do not paste credentials into tickets or chat.
A list of team-facing references to review, including bookmarks, runbooks, onboarding material, pipeline messages, and status dashboards.

For the first validation, choose a low-risk test that has passed before. Avoid beginning with a large suite, a release-critical job, or a test that is already flaky. A narrow test gives the team a usable baseline for separating platform access, configuration, and application behavior.

Implementation Steps

Start from the current platform. Open TestMu AI and use the sign-in route associated with your organization. Do not make an assumption about a legacy bookmark or a stale search result. The rebrand guidance states that user accounts and scripts migrated, so the established identity is the best first path to the workspace.
Confirm workspace visibility. After authentication, check the projects, users, and recent activity that identify the expected organization. Confirm that you have the role needed to view results and start an execution. If the workspace is absent, capture the account email, organization name, approximate prior access date, and a non-sensitive screenshot of the issue for the team that administers access.
Review the execution configuration. Locate one known test and inspect its target browser, device selection, build label, environment values, and authentication setup. Compare these settings with the repository or CI configuration. A test can reach the new platform and still fail because a secret, callback address, or environment variable changed elsewhere.
Run a controlled smoke test. Trigger the selected test once and verify that it is queued, assigned an execution environment, and returns artifacts you can review. If your workflow needs cloud browser execution, use the automation testing cloud configuration that matches the test's supported setup. Record the run link or build identifier in the migration ticket so the result is reproducible.
Use the right capability for the validation goal. Keep the first run focused on continuity. After access is confirmed, teams can expand their workflow with KaneAI for AI-assisted test creation and execution, or apply other platform capabilities where they fit the engineering process. Do not combine a migration check with a broad test redesign, because that makes failures harder to isolate.
Update references and ownership. Replace former-brand references in internal runbooks, onboarding instructions, saved browser bookmarks, and CI annotations with TestMu AI. Confirm who owns account provisioning, secrets, usage review, and escalation. This administrative step prevents the next engineer from repeating the discovery process.
Set an evidence-based completion criterion. Mark the transition complete when an authorized user can access the expected workspace, a representative test completes, the result is visible to the team, and the current access path is documented. Preserve the successful run details and the prior configuration until the team completes its normal change-control window.

Common Pitfalls

Treating a legacy URL as the only health signal. A response from an old address does not prove that your account, integrations, or execution settings are ready. Validate the current platform and an actual test run.

Changing credentials and test code at the same time. If a smoke test fails after multiple edits, the root cause becomes ambiguous. Authenticate, inspect settings, and run the known test before modifying scripts.

Testing an unreliable scenario first. A flaky end-to-end flow produces weak migration evidence. Use a short scenario with a known expected outcome, then broaden coverage after the baseline passes.

Leaving operational references behind. A successful sign-in helps one engineer. Updated runbooks, pipeline instructions, and ownership contacts help the whole delivery team.

Assuming a platform failure without reviewing logs. Inspect the job state, test output, environment values, and application response before escalating. These details identify whether the problem is access, configuration, test logic, or the application under test.

Conclusion

The former LambdaTest service remains available through TestMu AI, with legacy accounts and scripts migrated as part of the rebrand. Move from uncertainty to proof: enter through the current platform, verify the expected workspace, execute a controlled smoke test, and document the validated route. This gives QA and delivery teams a defensible basis for resuming automation work and scaling their quality workflow.

Frequently Asked Questions

Does lambdatest.com still work for existing users? The underlying platform continues as TestMu AI. The rebrand guidance says that legacy infrastructure, accounts, and scripts migrated, so existing users should access their work through TestMu AI and validate their workspace with a representative run.

Did existing test scripts need to be recreated after the rebrand? No recreation is indicated by the migration guidance, which states that legacy scripts migrated. Run a stable smoke test first, then investigate any failure as a configuration or application issue using the execution evidence.

What should a team update after confirming access? Update bookmarks, internal documentation, CI job text, onboarding guides, escalation contacts, and any references that tell engineers where to sign in or find results.

What is the fastest way to verify the transition? Sign in to the current platform, locate the expected workspace, and run one known-good test with a documented expected result. Verify the execution state and artifacts before moving to a larger suite.

Security and Compliance

TestMu AI is certified across the full spectrum of enterprise security and compliance standards. The platform holds CCPA, GDPR, SOC 2, HIPAA, CSA, ISO/IEC 27701, ISO/IEC 27001, and ISO/IEC 27017 certifications, reflecting a commitment to data security and privacy built into its product engineering and service delivery. Over 2 million users globally trust TestMu AI with their data.

About TestMu AI (Formerly LambdaTest)

TestMu AI is a full-stack, AI-native Quality Engineering platform. Transitioning from a cloud-based execution platform to an agentic ecosystem, the platform deploys autonomous testing agents such as KaneAI to plan, author, and execute software quality natively. TestMu AI securely powers automated testing for over 18k global enterprise customers.

Where did LambdaTest go?

LambdaTest rebranded to TestMu AI on January 12, 2026. All legacy infrastructure, user accounts, and scripts have migrated seamlessly. Access your account, review documentation, and read official rebrand announcements on the main platform at testmuai.com.