
AI excels at helping with the first 80% of coding, which includes interfaces, forms, and simple integrations. The last 20% (debugging, error handling, scalability, and deployment )is much more complex and often where beginners struggle the most.
Non-technical users often get stuck in this last 20%, as it demands precise technical skills and deeper understanding that AI cannot fully replicate.
AI tools accelerate routine code generation but rely on human creativity, oversight, and debugging to handle nuances, achieving a strategic partnership rather than replacement.
This division of labor is key to progress in vibe coding, automation, and AI-assisted development workflows.
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