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Nandini S Hinduja
Nandini S Hinduja

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AI in Coding

With the rise of AI, coding is one of the fields that is affected - both positively and negatively.

Now more than ever, it has become much easier to code and launch software products within days instead of weeks or months.

But since AI can generate code, the need for entry level developers has vanished.

To stay relevant in this market, here are some things you can do:

  • Be versatile. Try to learn and execute in different technologies and programming languages/frameworks.
  • Don't be afraid to get your hands dirty with new things.
  • Be dynamic. Do frontend, backend, mobile, cloud - all types of coding.
  • Dive into AI development, AR/VR and other emerging technologies.
  • Explore new concepts, keep learning and executing.
  • Use AI as a tool to generate code but think of the logic and design the system on your own.
  • Use AI for generating code initially, but take more control once the application becomes mature.

Do you agree? Leave your thoughts in the comments!

Top comments (3)

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prema_ananda profile image
Prema Ananda

Completely agree! I've noticed that some tasks can be accomplished very quickly with AI assistance, while other topics require diving deep personally and controlling the process very strictly :-) This is likely due to the varying amounts of training data available for different domains.

Your point about using AI as a tool but maintaining control over logic and system design is especially important. AI excels at boilerplate code and common patterns, but for complex business logic or niche technologies, human oversight becomes critical.

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gulajavaministudio profile image
Gulajava Ministudio

I agree with the author's view that AI brings about major changes, especially in terms of speed and efficiency. AI makes the coding process faster, but it also raises concerns about the position of junior developers.

However, in my opinion, the key to staying relevant in this era is not just about mastering new technologies, but also about going back to basics.

Master the Fundamentals, and Everything Else Will Follow

AI is indeed great, but it needs guidance. That's why I believe mastering the fundamentals of programming is so crucial. Understanding Algorithms, Mathematics, and Physics not only helps us grasp the inner workings of the code, but it also enables us to design solid, well-thought-out solutions. This foundational knowledge is our compass when AI can only provide us with a map.

AI: Your Best Junior Developer

Instead of seeing AI as a threat, I prefer to think of it as a very obedient and fast "junior developer." We can act as the project manager who provides direction.

How? Break down a large task into smaller, manageable ones. Give clear instructions to the AI, and let it handle the repetitive parts. Afterward, our job is to review, refine, and ensure all parts of the code are well-integrated. This approach allows us to maximize AI's speed without sacrificing quality and maintaining full control over our project.

Ultimately, AI is just a tool. The real power still lies in the hands of a developer with a strong foundation and the ability to think strategically.

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