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How to avoid code quality pitfalls in AI-assisted programming?

2025-08-20 266

CodeBuddy Quality Control Quadruple Protection Mechanisms

To ensure the reliability of AI-generated code:

  • Defensive Testing:All AI-suggested code is checked by a built-in checker, which pops up a yellow warning box for possible memory leaks, infinite loops, and other risks, such as the message "This recursive function lacks a termination condition".
  • Multi-program comparison:For key algorithms, the dialog box explicitly asks "Give 3 implementations and compare the advantages and disadvantages", e.g. the sorting algorithm will show the scenarios of bubble/quick/combined sorting at the same time.
  • Sandbox Testing:Enable "Safe Mode" in the settings panel, all generated code will be run in the virtual environment first to verify, and only after passing will be allowed to export.
  • Knowledge Traceability:By clicking "View source" for important code segments, the system will indicate the official documentation or open source project standard that the suggestion is based on.

Best Practices: 1) Staged validation of complex functionality 2) Manual review of business-critical code 3) Regularly check the Code Quality Report in the Settings panel.Chromium kernel browsers can be enabled for double validation with the Memory Checker tool.

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