The Day You Became A Better Coder (Using AI)

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Most people use AI wrong. They type a prompt and expect magic. Then they're surprised when the magic is bad.

Here's the fix. It takes two minutes to learn.

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Explore first.

Don't start coding. Start looking. Read the relevant files. Find existing patterns. Understand what you're building before you build it.

AI is smart but it can't read your mind. Show it the codebase. Point it at similar code. Give it context. Context is everything.

Make a plan.

Ask the AI to write a plan before it writes code. Review the plan. Plans are cheap to fix. Code is expensive to fix.

A bad plan costs you thirty seconds. Bad code costs you an hour of debugging something that shouldn't exist.

Then code.

Now let the AI implement. It has context. It has a plan. The code will be better.

Still won't be perfect. That's fine. You're not done.

Commit constantly.

This is the part everyone skips. Don't skip it.

Small commits. Frequent commits. Every logical chunk gets its own commit. Your git history is a safety net. Make it a good one.

Here's why this matters: with clean commits, you can let AI run fully autonomous. You can be bold. Try weird things. Experiment.

Mess up? Revert. Five seconds. Back to safety.

No commits? You're debugging for an hour trying to figure out which of the AI's seventeen changes broke everything.

The loop.

Explore. Plan. Code. Commit. Repeat.

That's the whole system. Four words.

The people who are "bad at AI coding" skip steps. They prompt, get garbage, blame the AI.

The people who are "good at AI coding" do all four steps. Every time.

It's not about being smarter. It's about being systematic.

That's it. You just learned how to code with AI. You're welcome.