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Label Your AI vs Human Code in Commit

Published
1 min readView as Markdown
Label Your AI vs Human Code in Commit
D

Hi 👋, I'm Dung Huynh Duc A passionate engineer from Singapore

🔭 I’m currently working in AirCarbon

👨‍💻 All of my projects are available at https://productsway.com

📝 I regularly write articles on https://productsway.com

📫 How to reach me dung@productsway.com

📹 I often publish my video every Sunday on IT Man Channel

Quick Tip for Better Team Collaboration

Since many teams already have their git commit practices, here’s a simple addition that makes a big difference:

AI-Generated Code:

Thore are good examples from my https://github.com/jellydn/moleculer-typescript-template/

In short, we should keep this as a convention for git.

feat: implement user authentication

[AI-Generated | Human Supervised]

Human-Written Code:

Here is the some example from my https://github.com/jellydn/tiny-nvim

feat: implement user authentication

[Engineer-Written]

Why Do This?

  • Reviewers know what they’re looking at instantly

  • Team learns from both AI and human approaches

  • Builds trust in AI tools through transparency

  • Creates clear accountability

Bonus Tip: Clean Up AI Comments

AI tools often generate redundant or overly verbose comments. Clean them up:

Remove:

// This function calculates the sum of two numbers
function add(a, b) {
    return a + b; // Returns the sum of a and b
}

Keep:

function add(a, b) {
    return a + b;
}

Only keep comments that explain why, not what.

Just Add It

If you’re already updating your commit standards, consider adding this. It takes 5 seconds per commit and saves everyone time during reviews.

Your team will appreciate the clarity.