AI is writing your code. But are you still thinking?

AI is writing your code. But are you still thinking?

Let’s be honest. AI tools are changing the way we code. But there’s something we might be forgetting.

You’ve seen it. GitHub Copilot, , Replit , Cursor, and all the other shiny tools. They fill in your functions. Suggest your next lines. Wrap up your logic before you even finish the thought.

It’s fast. It’s neat. It’s exciting.

But here’s what I keep wondering:

Are we still thinking through what we’re building? Or are we just pressing Tab and hoping for the best?

Fast code isn't always quality code

This isn’t about being anti-AI. I love these tools. But I’ve seen what happens when speed takes over and thinking fades out.

A team ships a new feature quickly. Code looks good. Tests pass. All clear.

But two weeks later, things break.

Turns out no one thought through edge cases. The logic was fragile. And fixing it took more time than writing it.

Not because anyone was careless. But because it was too easy to trust the machine and move on.

AI helps you write the how. But the why is still on you

AI can write functions. It can autocomplete your thoughts. It can even generate full components.

But it doesn’t understand your users. It doesn’t know the weird quirks of your product. It can’t tell if the solution you chose is actually the right one.

That kind of thinking? Still very human.


Don’t let AI do the thinking for you

Use AI to save time. Let it help you move fast.

But when it’s time to make decisions, slow down.

Ask questions like:

  • What are we actually solving here?

  • Will this code make sense to someone reading it next week?

  • Are we thinking long-term, or just getting the ticket closed?

The best devs today aren't just fast. They're thoughtful. And in a world full of autocomplete, thinking deeply might be your biggest advantage.

Let’s talk

If you’re building software in this AI-assisted world, I’d love to hear from you.

  • How are you staying sharp?

  • What have you learned from using these tools?

  • Any moments where AI helped—or caused more trouble than it solved?

Reply in the comments or shoot me a message. I’m genuinely curious.

👉 If this hit home, you might like my other posts too. I write about software, product, and leading with clarity in a noisy tech world.

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Dr. S Shyam Prasad

Professor and Researcher: Teaching and researching marketing and corporate strategy to enhance business capabilities

4w

Great Dineshji! When dealing with AI, I suggest always having a devil's advocate by your side and taking the AI output with a pinch of salt. Continue your thoughts, Dineshji! Shyam

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