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AI Completed It in 12 Minutes, But I Spent 10 Hours Fixing the Flaws

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Unlocking AI Potential in Coding Projects 🚀

In my latest journey through the code jungle, I tackled a long-neglected blog asset manager, sparking insights into AI-assisted development. Here are some key takeaways:

  • Personal Growth: Since the 2000s, I’ve embraced understanding the code I write, resisting the urge to copy-paste blindly.
  • AI Integration: Harnessed GLM-5 from z.ai for my PHP project, revealing the challenge of “spaghetti code”—mixing logic with presentation.
  • Hands-On Learning: Despite AI’s rapid generation of nearly 5,000 lines, I rewrote 80% of the code to ensure maintainability, reducing complexity to 1,254 lines.
  • Reflection on Efficiency: While AI sped up initial creation, the cleanup process was more labor-intensive than anticipated.

This experience underscores a crucial lesson: AI may assist, but the essence of coding lies in human understanding and refinement.

🤔 Have you faced similar challenges with AI in your projects? Share your thoughts or experiences below! Let’s discuss!

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