𝗛𝗼𝘄 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗪𝗵𝗲𝗻 𝘁𝗵𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗪𝗿𝗶𝘁𝗲𝘀 𝘁𝗵𝗲 𝗖𝗼𝗱𝗲

𝗛𝗼𝘄 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗪𝗵𝗲𝗻 𝘁𝗵𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗪𝗿𝗶𝘁𝗲𝘀 𝘁𝗵𝗲 𝗖𝗼𝗱𝗲

AI is taking over the grunt work of coding. This removes the traditional way junior developers learn by doing repetitive tasks.

If you want to stay relevant, you must focus on what a machine cannot do. You must build judgment, taste, and a reputation.

Here are six ways to make yourself worth hiring:

• Learn on real projects. Tutorials are too easy. Machines solve those problems perfectly. Work on open source or existing code with real users. You need to see how systems hold together under pressure.

• Use AI, but understand everything. Never ship code you cannot explain. If a model writes a line, ask it why it chose that specific way. Use the AI as a tutor, not a replacement for your brain.

• Seek direct feedback. You grow fastest when experts correct you. Put your work in public view. Join discussions and ask for reviews. A rejection from a maintainer is a lesson you cannot get from a screen.

• Show up in person. Go to meetups and conferences. Real ideas come from hallway conversations and seeing how experts think. A network of real relationships is something an AI cannot build for you.

• Build your own things. Contributing teaches you to follow a vision. Building your own tools teaches you to create one. Face the messiness of real users. This friction builds the ideas that models lack.

• Master your domain to vet the output. Do not try to out-know the AI. Instead, learn enough to catch its mistakes. You need domain knowledge to judge if the code is right for the specific situation. Use your knowledge to steer the machine, not just to type.

The goal is not to out-type the machine. The goal is to become the person who decides what is worth building.

Source: https://dev.to/hikashopnicolas/how-to-start-when-the-machine-writes-the-code-92d

Optional learning community: https://t.me/GyaanSetuAi