๐—ช๐—ต๐—ฒ๐—ฟ๐—ฒ ๐——๐—ผ๐—ฒ๐˜€ ๐˜๐—ต๐—ฒ ๐—•๐—ผ๐˜๐˜๐—น๐—ฒ๐—ป๐—ฒ๐—ฐ๐—ธ ๐— ๐—ผ๐˜ƒ๐—ฒ ๐—œ๐—ป ๐—”๐—œ ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด?

AI now writes code fast. Writing syntax is no longer the hard part.

The challenge shifts. You now need to define the problem. You need to communicate your intent.

Clear language is a skill. Compare these two requests:

The second one wins. It provides constraints. It tells the AI what to do.

You still need technical knowledge. You need it to guide the AI. Focus on these areas:

You need this knowledge to ask the right questions.

Hardware is another limit. Great open source models exist. But you need high-end GPUs and RAM to run them. The bottleneck shifts from the model to the hardware.

Your value moves higher up the stack. Stop focusing on typing code faster. Focus on:

Machines handle the implementation. You decide what to build. Success starts with a clear thought.

Source: https://dev.to/micheal_angelo_41cea4e81a/if-ai-gets-better-at-coding-what-becomes-the-bottleneck-28l3 Optional learning community: https://t.me/GyaanSetuAi