What “NOT” to do when using AI for coding

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What “NOT” to do when using AI for coding

While everyone discusses how to utilise AI tools to increase productivity, let’s focus on how not to use AI tools, specifically for coding.

Because when AI tools start hallucinating, you will see your frustration increasing rather than your productivity.

After testing a few AI assistants for coding across real-world coding tasks, let us understand some common mistakes to avoid.

What “NOT” to do when using AI for coding

1. Assuming paid = better

Surprise!!

Free Claude 4 Sonnet passed all tests. The paid Claude 4 Opus failed half.

Like many good free things, some free AI tools work better. Don’t equate price with performance.

2. Trusting the answers blindly

Even the best LLMs can generate plausible but wrong code. Always test and validate.

3. Using the wrong AI tool for the job

Not all AI tools for coding are built equally. Some couldn’t even build a basic plugin.

4. Skipping version checks

Different AI versions perform very differently.

GPT-3.5 vs GPT-4o = Big difference.

Know what version you’re working with.

5. Relying on AI for entire applications

AI can assist in writing code snippets, fixing bugs, and explaining logic.

But building entire apps?

That’s unfortunately or fortunately still on you (for now)!!

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Happy learning!

If you have any queries or suggestions, share them with me on LinkedIn – https://www.linkedin.com/in/nikhileshtayal/

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Nikhilesh Tayal
Nikhilesh Tayal
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