If you've spent any time on tech Twitter or LinkedIn lately, you've probably seen the same headlines: "AI will replace developers."
After building AI-powered websites, business software, and automation tools over the past few years, I've found the reality to be much more interesting.
AI is incredibly good at generating code, summarizing documentation, and speeding up repetitive work—but it still struggles with architecture, business logic, user experience, security, and the countless edge cases that turn a demo into a real product.
The biggest productivity gains don't come from letting AI build everything. They come from learning how developers and AI can work together effectively. Codaiman
In this article, I'll share practical insights, examples, and lessons from building AI-assisted products—what works, what doesn't, and where human engineering still makes all the difference.
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