Changelogs

We've made several updates to improve the Auto-Pilot experience in TAMI Studio.

Improvements:

• Added a text input so you can send messages to steer the AI agent while a run is in progress.
• Added controls to pause and resume a run.
• Refined the interface to reduce visual clutter by hiding less important logs and making the UI more compact.

Bug Fixes

• Fix bug renaming test cases in TAMI Studio

New Feature

Added a new Auto-Pilot feature to TAMI Studio.

Auto-Pilot lets you run an AI agent that explores your application and executes a test scenario based on your instructions. Once the run is complete, you can review the generated test script, save it as a test case, and replay it like any other UI-licious test.

Improvements

Added two new dashboard widgets to TAMI Studio:

• Recent test runs displays the 10 most recently executed test runs for quick access.
• Failing test cases lists test cases with recent failures, making it easier to identify and investigate failing test cases.

Improvement

• Improved support for nested preconditions. TAMI Studio now displays preconditions of preconditions throughout the application, including the Test Steps, Dataset, and "Add/Edit Precondition" views, making it easier to understand the full dependency chain when reviewing or editing a test case.

Bug fixes

• Fixed an issue where newly created test cases could not be run unless a dataset was selected.
• Fixed an issue where the test case editor could load the wrong test cases after a feature was deleted and a new feature was created using the same index.

Improvements

• Test scripts linked to TAMI Studio test cases now open in read-only mode in the Script Editor. A warning banner is displayed to help prevent direct edits that could cause the script to become out of sync with its associated test case.

Introducing TAMI Studio, our next-generation AI-first platform for managing test cases, creating and maintaining test automation, and monitoring test execution.

Key capabilities include:

• Test case management – Document test cases with screenshots, recordings, test steps, and automation scripts, and organize them into features.
• AI assistant– Generate test automation scripts from screenshots and recordings, diagnose test failures, and generate bug reports.
• Monitoring – Schedule test runs and configure email, Slack, Microsoft Teams, or webhook notifications when tests fail.