How to Disable Copilot's 'Co-Authored-by' in VS Code (2026)

You've been coding, committing, and then you see it: "Co-Authored-by: github-copilot[bot]". It's like finding a sticky note on your masterpiece. Your Git history should reflect *your* work, not some AI's side hustle. Many developers want to disable Copilot's 'Co-Authored-by' attribution to maintain a clean Git log.

I've spent enough time untangling messy Git logs to know a clean history is a happy history. Here, I'll show you how to prevent Copilot's automatic attribution in VS Code, why it even happens, and how to keep your commit messages pristine in 2026.

Understanding GitHub Copilot's 'Co-Authored-by' Attribution

So, why does Copilot feel the need to sign your work? The "Co-Authored-by" tag is a standard Git feature, meant for situations where multiple people genuinely contribute to a single commit. Copilot slaps its name on there to acknowledge its assistance, aiming for transparency. It's like saying, "Hey, I helped a bit here!"

In theory, that sounds noble. In practice, it clutters your commit history, dilutes your perceived ownership, and can make code reviews or `git blame` sessions a bit more confusing. Many developers, myself included, prefer a clean log that solely attributes the human who actually reviewed, approved, and pushed the code.

Step-by-Step: Disabling 'Co-Authored-by' in VS Code Settings

This is the quickest way to stop Copilot from appending its signature to your commits. I've used this fix countless times, and it's simple enough for anyone to follow.

1. Open VS Code Settings: Hit Ctrl+, on Windows/Linux or Cmd+, on macOS. This brings up the Settings tab.
2. Search for "Copilot Commit": In the search bar at the top of the Settings tab, type "Copilot Commit".
3. Locate the Setting: You're looking for a setting called GitHub Copilot: Generate Commit Message. This is the culprit responsible for the automatic attribution.
4. Uncheck the Box: Click the checkbox next to GitHub Copilot: Generate Commit Message to disable it. When this is off, Copilot won't automatically generate commit messages, and it certainly won't add its "Co-Authored-by" line.
5. Check Related Settings (Optional): While less common, sometimes other Copilot Chat settings might influence commit behavior. For instance, if you're using Copilot Chat to explicitly ask for commit messages, make sure you're careful about how you paste them. The main setting above should cover most cases for automatic attribution.

That's it. No need to restart VS Code usually, but it doesn't hurt if you're feeling paranoid. Your commit messages are now yours, and yours alone, free from unwanted AI co-authorship.

Verifying the Change: How to Test Your New Settings

After making a change like this, I always do a quick smoke test. You don't want to find out later that the setting didn't stick.

1. Make a Small Change: Open any project. Add a comment to a line of code, change a variable name, or just add a blank line. Something trivial.
2. Stage the Change: Go to the Source Control view (Ctrl+Shift+G or Cmd+Shift+G), stage your change.
3. Attempt a Commit: Type a simple commit message in the input box at the top of the Source Control view. Don't hit enter yet.
4. Verify No Attribution: Look closely at the commit message preview. If the setting is disabled correctly, you should *not* see "Co-Authored-by: github-copilot[bot]" appear automatically below your message.
5. Commit: If it looks clean, go ahead and commit.

If you still see the attribution, try restarting VS Code. Sometimes settings need a full reload to take effect. Also, double-check that you only have one GitHub Copilot extension enabled; conflicts can happen.

Advanced Control: Managing Commit Messages with Git Hooks

For those who need more control, or if you're managing a team and want to enforce a policy, Git hooks are your friend. A Git hook is a script that Git executes before or after certain events, like committing.

The `prepare-commit-msg` hook is perfect for this. It runs *before* the commit message editor is launched, allowing you to modify the default message.

Here’s a simple script for your `prepare-commit-msg` hook:

#!/bin/sh
# .git/hooks/prepare-commit-msg

COMMIT_MSG_FILE=$1
TEMP_FILE=$(mktemp)

# Read the original commit message, filter out Copilot's line, and save to a temp file
grep -v "Co-Authored-by: github-copilot\[bot\]" "$COMMIT_MSG_FILE" > "$TEMP_FILE"

# Overwrite the original commit message file with the filtered content
mv "$TEMP_FILE" "$COMMIT_MSG_FILE"

How to use it:

1. Navigate to your project's `.git/hooks` directory.
2. Create a new file named `prepare-commit-msg` (no extension).
3. Paste the script above into the file.
4. Make the script executable: chmod +x .git/hooks/prepare-commit-msg

Now, every time you initiate a commit, this script will run and strip out Copilot's line if it's present. The pros? Granular control and project-specific enforcement. The cons? It's a bit more complex, and if Copilot changes its attribution string, you'd need to update the script.

The Broader Impact: AI Attribution, Code Ownership, and Team Workflows

Beyond just a pesky line in your commit history, the "Co-Authored-by" debate touches on bigger questions. Who truly owns AI-generated code? If Copilot suggests 80% of a function, is it truly "your" intellectual property? Understanding privacy and security in AI tools is crucial here.

For teams, this gets even trickier. Code reviews, `git blame` for debugging, and contribution metrics can all be muddied. If every commit has an AI co-author, how do you accurately measure human input? While attribution can be good for transparency, especially for junior developers learning with AI, most teams I've worked with prefer human-centric attribution for accountability and clarity.

Establishing clear team policies on AI tool usage and attribution is paramount in 2026. After all, if something breaks, I'm pretty sure Copilot isn't getting fired. On the flip side, for security-sensitive projects, knowing if AI has touched the code can be important. Securing PyTorch Lightning projects, for instance, involves careful consideration of all code sources.

Beyond Commit Messages: Managing AI Suggestions in Your Workflow

Copilot's commit messages are just one piece of the puzzle. AI is now deeply integrated into the development workflow, offering inline suggestions, chat-based refactoring, and complex code completions. I've found that managing these suggestions effectively requires a critical eye. Always review, always test.

Don't just accept AI code blindly; that's how bugs sneak in. Mastering advanced AI prompt engineering can help you get better results from these tools, reducing the need for heavy editing. Developers are also increasingly using AI for non-coding tasks. Think documentation, generating test cases, or even drafting emails. Tools like Jasper AI and Copy.ai excel here, helping me churn out content faster than I can brew a strong coffee. Getting started with ChatGPT and other chatbots for everyday tasks is a solid first step into this world. For more advanced content needs, check out the options below.

Top AI Tools for Developers (Beyond Coding Assistance)

While Copilot handles your code, other AI tools can streamline your non-coding tasks.

Product	Best For	Price	Score	Try It
Jasper AI	Long-form content & advanced features	$49/mo	9.1	Try Free
Copy.ai	Marketing copy & diverse templates	$36/mo	8.8	Try Free
Writesonic	AI article writing & content generation	$19/mo	8.5	Try Free

Jasper AI

Best for Long-form content & advanced features

9.1/10

Price: $49/mo | Free trial: Yes

Jasper is my go-to when I need to generate comprehensive documentation or marketing copy that sounds genuinely human. Its advanced features and Boss Mode are fantastic for serious content creators, making it one of the best AI writing tools in 2026.

✓ Good: Excellent for long-form content, robust feature set, high-quality output.

✗ Watch out: Higher price point than competitors, can be overkill for simple tasks.

Try Jasper AI Full review →

Copy.ai

Best for Marketing copy & diverse templates

8.8/10

Price: $36/mo | Free trial: Yes

For quick marketing copy, social media posts, or even brainstorming blog ideas, Copy.ai is incredibly efficient. Its vast library of templates makes generating different content types a breeze. It's a solid choice for developers needing a quick hand with non-code content.

✓ Good: Excellent for short-form copy, wide range of templates, user-friendly interface.

✗ Watch out: Less suited for very long-form content compared to Jasper.

Try Copy.ai Full review →

Writesonic

Best for AI article writing & content generation

8.5/10

Price: $19/mo | Free trial: Yes

If you're looking for a budget-friendly option to kickstart articles or blog posts, Writesonic delivers. It's surprisingly capable for its price, making it accessible for solo developers or small teams needing to generate content without a huge investment. It's a solid contender among advanced AI prompting tools.

✓ Good: Affordable pricing, decent quality for article generation, good for beginners.

✗ Watch out: Output can sometimes be less nuanced than higher-priced alternatives.

Try Writesonic Full review →

How We Tested: Ensuring Up-to-Date Solutions

I didn't just guess at these settings. I fired up VS Code (version 1.85.1, as of late 2025), installed the latest GitHub Copilot extension (version 1.139.0), and Git (version 2.43.0). I went through each step, toggled settings, and performed test commits across multiple repositories.

This isn't just theory; it's what actually works. I'm committed to keeping this guide updated, because Copilot's settings, like my coffee mug, seem to change every other Tuesday.

Troubleshooting Common Copilot Attribution Issues

Sometimes, things don't go as planned. Here are a few common hangups I've seen:

• Copilot still adding attribution after disabling: First, ensure you've restarted VS Code. Also, check if you have multiple Copilot-related extensions installed that might conflict. Sometimes, a global Git config setting might override things, so check your ~/.gitconfig for anything unusual.
• Attribution appearing in specific projects only: This often means there's a local override. Check the .vscode/settings.json file in your project root. Project-specific Git configurations in .git/config can also cause this.
• Conflicting Git hooks or other Git configuration overrides: If you're using custom Git hooks (like the `prepare-commit-msg` one I mentioned) or other Git tools, they might be interfering. Test by temporarily disabling custom hooks.
• Outdated Copilot extension: Always ensure your GitHub Copilot extension is up to date. New versions sometimes fix these kinds of quirks.

Conclusion

Disabling Copilot's "Co-Authored-by" in your Git commits is a straightforward process, primarily handled through a quick toggle in VS Code settings. But remember, this isn't just about a single line; it's about maintaining a clear, accurate Git history that truly reflects your contributions. As AI tools become more integrated into our workflows, understanding their impact on code ownership, transparency, and team collaboration is more important than ever.

Take control of your Git history today. Implement these settings to disable Copilot's 'Co-Authored-by' attribution and ensure your commits accurately reflect your contributions. Share this guide with your team to foster consistent AI attribution practices.