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AI Is My Assistant, Not My Autopilot

Updated
2 min read
AI Is My Assistant, Not My Autopilot

I’m someone who loves programming. Ever since I was introduced to coding during my college days, it has fascinated me. There’s something magical about breaking down a problem, structuring the logic, and expressing it in a language the computer understands. Even today, decades after writing my first program, I still get that "hurray!" feeling when I see the output working as expected.

With the rise of AI, the way we write code has changed. Many companies now look for an AI-first approach. One job description I came across said:

“If you're someone who writes code and then uses AI to enhance it—rather than the other way around—please do not apply.”

It’s essential to move with the times, right? Think about when calculators were first introduced. If someone said, “I’ll solve the whole equation on paper and only use the calculator to check the final answer,” they’d be missing out on 90% of what the calculator could do.

The same applies to AI-assisted coding—but with a key difference: logic. While calculators are precise and deterministic, AI works with patterns and probabilities. AI tools are trained on massive datasets and can generate code instantly. With their clean structure and polished explanations, it’s easy to get impressed and accept the code as-is.

But here’s the catch: we still need to understand what the code does. Blindly using AI-generated solutions without grasping the underlying logic can lead to subtle bugs and wasted time debugging them.

For instance, while practicing the AI-first approach, I asked an AI to generate code. I spotted a logical error and questioned it. The AI responded:

“Your observation was correct – strictMode shouldn't affect how we split the tag name. It was a logic error in the original code.”

That moment reinforced something important: AI can make mistakes too.

This blog is a reminder that while AI is powerful, we must guide the logic, validate the flow, and maintain critical thinking. Otherwise, we risk chasing errors endlessly—like a dog chasing its own tail.

If you're exploring AI-first development or have similar experiences, I'd love to hear your thoughts in the comments below!

P.S. I used AI to help refine this blog—but the thoughts and experiences shared here are entirely mine. Just like in coding, I believe AI is a tool to enhance expression, not replace it.

#AIcoding #TechBlog #DeveloperThoughts #CodeWithAI