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

5 Conclusion

This article demonstrates the engineering feasibility of an AI Agent in AWR2944 series EVM debugging, serving as a starting point for further exploration. The key is not to replace underlying tools, but rather to use ccxml to provide a deterministic connection prerequisite, JS scripts to implement a stable execution chain, and Skill and Prompt to ensure consistent rules and clear input. Through alignment verification with CCS results, the Agent demonstrates accuracy and repeatability in key steps such as memory reading; in stress and multi-scenario testing, the Agent further exhibits advantages in automation, standardization, and traceability. For debugging tasks that are highly repetitive, complex in workflow, and require long-term operation, this solution has clear practical value.