How to Check Code AI Wrote When You Can't Read Code

You let an AI write some code, and now you’re staring at it with no idea whether it’s good, safe, or about to cause a disaster. Here’s the reassuring truth: you don’t need to read code to judge it—you need to judge its impact. A few plain-language questions catch the genuinely risky stuff, even if the code itself looks like hieroglyphics. This is the method careful people use, translated for someone who can’t (yet) read a line.

Stop trying to read it line by line

Reading code you don’t understand is slow and demoralising, and it’s not even the right approach. Experienced reviewers don’t check every character either—they look for what the code can affect. A typo in a harmless display function is no big deal. A mistake in code that deletes data is a catastrophe. So the skill isn’t reading; it’s spotting which parts matter. And that you can absolutely do.

Step 1: Make the AI explain itself

Your first and best tool is the AI that wrote the code. Ask it, in plain language:

• “Explain what this code does, simply, as if I don’t code.”
• “What could go wrong with it?”
• “Does this touch any passwords, keys, or personal data?”
• “What happens if someone enters something unexpected?”

A good AI assistant will answer honestly, and the act of asking forces the important details into the open. If the explanation is vague or the AI admits it’s unsure, that’s your signal to slow down—not to trust it more.

One caution: the AI can be wrong about its own code, the same way it can hallucinate anything. So use its explanation as a guide, not gospel—especially for the high-impact areas below.

Step 2: Check the four high-risk questions

Whatever the AI says, run the code past these four questions. Any “yes” means pay attention here.

1. Does it handle secrets? Passwords, API keys, login tokens. These must never be left exposed or hard-coded where others could see them.
2. Does it touch the internet? Sending or fetching data online opens the door to leaks and outside interference.
3. Does it change or delete data? Anything that overwrites or removes information can do real, hard-to-undo damage if it’s wrong.
4. Does it run commands on your computer? Code that installs things or executes system commands deserves extra caution.

Code that does none of these is low-risk—relax. Code that does any of them isn’t automatically bad, but it’s where mistakes hurt, so it earns a careful second look before you trust it.

Step 3: Protect your secrets before you share anything

A specific, common trap: when you paste code or files to an AI for help, you might unknowingly hand over passwords, keys, or personal data buried in them. Before you share, it’s worth checking what’s actually in there. Our free Paste Checker tells you whether what you’re about to paste contains something you shouldn’t share—a simple guard against the most common beginner leak.

Step 4: Match your caution to the stakes

The right level of care depends entirely on what the code is for:

• A personal toy (a tracker only you use): low stakes. Run it, learn from it, don’t stress.
• Anything with real users, data, or money: high stakes. AI code can carry security holes a beginner can’t see, and reviews keep finding that a real share of it does. Before this goes live, get someone who can read code to look—or at minimum, slow down and make sure you understand the impact of every “yes” from Step 2.

This isn’t about fear; it’s about proportion. Move fast on the harmless stuff, and put the brakes on exactly where a mistake would matter.

The mindset that keeps you safe

You’ll hear “you own what ships” a lot, and it’s true even when you didn’t type a word of it. Owning it doesn’t mean reading every line—it means taking responsibility for the impact. Ask the AI to explain, check the four risk questions, guard your secrets, and get real help before anything real goes live. Do that, and you can build confidently with AI long before you can read code fluently.

Build with a setup that helps you review

Good habits are easier with a good setup. Our free AI for Coders tool helps you pick the right assistant, install it for your operating system, and get a starter setup that makes reviewing changes—seeing exactly what the AI did—part of your normal flow. Pair that with the impact-first method above, and “I can’t read the code” stops being a reason to feel unsafe.

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