The word migration makes engineers nervous, and for good reason. Moving a test suite from one platform to another can mean weeks of reconfiguration, broken CI pipelines, and team members debugging credential issues when they should be writing tests. The migration from LambdaTest to TestMu AI is categorically different from that kind of experience.
Since LambdaTest is now TestMu AI, the two platforms share the same infrastructure, the same API contracts, and the same authentication system. What you are really doing is updating your configuration to reflect the new brand while keeping everything else exactly as it is. This guide walks through that process step by step.
Table of Contents
Before You Begin: Take an Inventory
Before making any changes, spend an hour mapping out exactly where LambdaTest is referenced in your current setup. The more thoroughly you do this now, the less likely you are to miss something and discover it at an inconvenient moment later.
The places to check are predictable:
- Test configuration files that specify the remote hub URL or contain the LambdaTest domain.
- Environment variable definitions in .env files, CI secrets managers, or deployment configuration systems.
- CI/CD pipeline YAML or configuration files that reference LambdaTest plugin identifiers, action names, or environment variable keys.
- Internal documentation, runbooks, and onboarding guides that describe how to run tests.
- IDE plugins installed by individual team members.
- Custom scripts or tooling built to interact with the LambdaTest API directly.
Making a simple spreadsheet with the location of each reference and what needs to change takes thirty minutes and turns the migration into a checklist rather than an open-ended search.
Step 1: Verify Your Account
Log in to TestMu AI using your existing LambdaTest credentials. Confirm that your dashboard shows your test history, that your team members are present, and that your plan details match what you had before. Navigate to Account Settings and compare your username and access key to what is currently stored in your environment variables or secrets manager.
In almost all cases the credentials are identical. The access key has not been rotated as part of the rebrand. If you find a discrepancy, update your stored credential to match what appears in Account Settings before proceeding with any other changes.
Step 2: Update Hub URLs
The most common configuration change is updating the WebDriver remote URL or Playwright connect URL from the LambdaTest domain to the TestMu AI domain. Search your codebase for any URL containing the LambdaTest hub domain and replace it with the corresponding TestMu AI endpoint.
If you have the hub URL defined in a central configuration file that is imported across your test files, this is a single change. If the URL appears in multiple files, your inventory from the previous step should tell you exactly how many places need updating.
During the transition period, the LambdaTest hub URL aliases continue to resolve correctly. This grace period exists specifically to prevent unexpected pipeline breakage. Use it as breathing room, but do not treat it as a permanent solution. Scheduling the URL update within your next sprint is the responsible approach.
Step 3: Update CI/CD Pipeline Configurations
GitHub Actions
If your workflow YAML references the LambdaTest marketplace action, check for an updated TestMu AI action in the GitHub Actions marketplace. Update the uses field to reference the new action. If your workflow calls the API directly rather than using a marketplace action, update the base URL in your API calls and verify that your credentials are correctly referenced in your repository secrets.
Jenkins
The LambdaTest Jenkins plugin continues to function without changes. If you want to upgrade to the TestMu AI Jenkins plugin for access to enhanced reporting features, install it from the Jenkins plugin manager. You can run both plugins simultaneously during the transition if you want to validate the new one before removing the old.
Other CI Platforms
For CircleCI, Azure DevOps, GitLab CI, and other platforms that integrate through environment variables and hub URL configuration, the migration consists of updating the hub URL in your test configuration and confirming that your credential environment variables are correctly mapped. No other pipeline changes are required.
Step 4: Run a Validation Test Run
Before moving your full suite to the updated configuration, run a small, stable subset of tests using the new setup. Choose ten to twenty tests that are known to be reliable and that cover different types of interactions representative of your broader suite.
Confirm that these tests execute correctly, that results appear in your TestMu AI dashboard with the right build and test names, that session recordings are capturing, and that any notifications or integrations are firing as expected. This validation run is your green light to proceed with the full migration.
Step 5: Migrate Your Integration Configurations
Check each of your connected integrations in the TestMu AI dashboard under Integrations. JIRA, Slack, GitHub, and any other connections should appear with their current status. Most will show as connected and active without any action required. If an integration shows as disconnected, a quick reconnect through the integration panel usually resolves it.
Step 6: Update Internal Documentation
This step is frequently skipped and frequently regretted. Internal runbooks, onboarding guides, README files, and any documentation that describes how your team runs tests will now be referring to a platform that has a different name. Updating this documentation does not need to happen on migration day, but putting it off indefinitely means your next new hire will be confused from day one.
A practical approach is to do a global search across your documentation system for any mention of LambdaTest and update it to TestMu AI in a single focused session. Adding a brief note explaining that LambdaTest is now TestMu AI and that links and workflows have been updated accordingly gives future readers useful context.
Step 7: Explore What Is New
Once your tests are running cleanly and your integrations are working correctly, the TestMu AI AI features are accessible and worth spending time with. The failure classifier, the flaky test report, and the AI Insights panel are all available immediately and require no additional configuration.
Use the completion of the migration as an opportunity to do a suite health check using the data TestMu AI surfaces. The flaky test report often reveals issues that teams were aware of in a vague way but had never formally tracked. Starting from a clear picture of your suite’s current health is the best foundation for making the most of the expanded capabilities the platform now offers.
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