Customers can now host Codebeamer AI services in their own Azure tenant. For more information, see Customer-hosted Codebeamer AI.

Codebeamer AI 1.1 uses the GPT–5–mini and GPT–5–nano models with minimal reasoning configured to balance performance and responsiveness while maintaining answer quality. Even with minimal reasoning enabled, GPT‑5 prioritizes accuracy, consistency, and reliability over speed. As a result, response times may be slightly longer than those of earlier or lightweight models.

Added Codebeamer AI configuration page where users can view the Codebeamer AI plugin version in the user interface.

For more information, see Getting Started.

Ability to provide additional context to the AI for generating more accurate and context sensitive results.

For more information, see Providing Context to the AI Test Case Assistant 1.1.

Test generation now supports standardized test techniques based on ISTQB guidelines, ensuring consistent and industry-aligned test cases.

For more information, see Generating the Test Case with AI Test Case Assistant 1.1.

Introduction of new AI-specific fields available in the test case tracker to store the selected test technique and test condition for future reference.

For more information, see Create Global Shared Fields for AI.

Ability to preserve the session state information if the test case generation process is left midway. Upon return to the same requirement, you can resume from the step where you left off.

For more information, see Considerations When Generating and Saving the Test Case.

The Condition and Technique steps in the stepper now include information bubbles, allowing you to review the applied condition and technique later in the workflow.

For more information, see Considerations When Generating and Saving the Test Case.