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How to solve efficiency bottlenecks during code debugging?

2025-08-20 523
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Code debugging efficiency optimization solution

Z.ai provides a three-tier solution to the common pain point of 'difficult to locate problems' for developers during debugging:

  1. Error Diagnosis Enhancement::
    • Paste error message + 20 lines of context code
    • Type 'Deep Diagnosis Python Type Error' and the system will:
      • Labeled variable type passing chain
      • Scoping issues with color differentiation
      • Hints for unit test cases
  2. Intelligent Completion Recommendations: Type '//TODO Optimize loop efficiency' while editing and the AI will:
    • Recommend algorithmic alternatives (e.g. map instead of for)
    • Show Time Complexity Comparison
    • Provide a comparative view of the code before and after refactoring
  3. Learning model: Enter 'Explain the concept of closure by analogy' to get it:
    • Illustration of a living analogy
    • Visualizing Memory Graphics
    • Typical Application Scenario Examples

This solution has been tested to reduce debugging time by an average of 65%, and is particularly suitable for dynamically typed languages such as JavaScript/Python.

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