SPRADU5 October   2026 AWR2944P

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Basic Principles of AI-Automated Debugging
  5. 2Agent, Skill, and Prompt
  6. 3Verifying the AI Agent
    1. 3.1 Generating the ccxml File and JS Script
    2. 3.2 Test Verification
  7. 4Using the AI Agent to Assist Debugging
    1. 4.1 Simulating Stress Testing
    2. 4.2 Simulating Scenario Testing
  8. 5Conclusion
  9. 6References

4 Using the AI Agent to Assist Debugging

The previous chapters introduced the working principles of the AI Agent and verified the feasibility of using the AI Agent to debug the AWR2944LC. It can be seen that the AI Agent is better suited to tedious, complex, and highly repetitive work. In radar device debugging, there are a large number of highly repetitive, long-cycle tasks, such as repeatedly flashing and running different images, stress testing, reproducing intermittent faults, restarting to capture logs, and capturing memory. Such tasks are suitable for the Agent to take over, which can significantly reduce the burden of manual operations and improve statistical efficiency.

This article uses the default DPU test programs in the SDK as cases to verify that the AI Agent can perform repetitive testing work:

  1. Repeatedly execute test case 20 times to simulate stress testing
  2. Execute all DPU test cases to simulate scenario testing