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    ChatGPT and Copilot Now Write 90% of My Code Comments – Here’s How

    Lakisha DavisBy Lakisha DavisJune 17, 2025
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    ChatGPT and Copilot Now Write 90% of My Code Comments - Here’s How
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    ChatGPT, Copilot, and Gemini: The AI Tools Developers Are Using to Streamline Code

    As a developer, the one thing I dreaded the most was writing code comments. That is, until I started using ChatGPT, GitHub Copilot, and Gemini in my workflow. These tools revolutionized my development process by taking over 90% of the task of writing code comments, allowing me to focus more on coding and less on documentation.

    Sure, they’re essential for keeping your code readable and maintainable, but they always felt like extra work – especially after spending hours building features. If you’re a developer who’s still manually writing out every explanation for your code, this article is for you. I’ll share how I use ChatGPT, Copilot, and Gemini together to automate code comments, save time, and improve the quality of my code documentation.

    How ChatGPT Writes My Code Comments Faster Than I Could

    The first tool I integrated into my workflow was ChatGPT. I found that using it to generate code comments was faster than any tool I had tried before. Instead of staring at lines of code, trying to come up with the right words, I simply fed the code into ChatGPT with a simple prompt.

    Sample Prompt:

    Generate concise and helpful comments for the following code. Make sure to explain each function and variable clearly.

    ChatGPT’s ability to quickly analyze the logic of the code and provide high-quality comments was a game-changer. It even adapted to the specific style I preferred, ensuring that the comments were consistent throughout the entire project.

    Why it works: ChatGPT not only understands programming logic but can also generate comments that are informative and contextually appropriate. This made my code more maintainable and readable, without spending hours manually writing explanations.

    Copilot: The Ultimate Assistant for Commenting While You Code

    Next, I added GitHub Copilot into my workflow. Copilot is like having an AI-powered pair programmer. It automatically suggests code completions, but it also suggests comments while you’re writing your code.

    When I write a function or a complex block of code, Copilot automatically suggests a comment that summarizes what the code does. If I accept the suggestion, it’s inserted directly into the code. If I want more details, I can customize the comment, and Copilot will adjust based on my input.

    Sample Prompt for Copilot:

    Auto-generate comments for this function explaining its purpose, input, output, and edge cases.

    This seamless integration means I spend less time fiddling with comments and more time building features. Copilot is smart enough to understand context, which helps with producing meaningful comments without me having to spell out the details myself.

    Why it works: Copilot accelerates the documentation process by suggesting relevant comments in real-time. As a result, I can write code more efficiently without sacrificing readability or quality.

    Gemini: Automating the Entire Process

    While ChatGPT and Copilot were great for code and comments, I wanted something to tie it all together and automate my entire coding process – from writing the code to generating the documentation. Gemini stepped in to take over the remaining tasks.

    I use Gemini to:

    • Automate the generation of README files
    • Create documentation for API endpoints
    • Provide detailed comments based on previous work, making future projects easier to handle

    I’ve set up a simple prompt in Gemini that allows it to review my codebase, identify missing comments, and suggest detailed descriptions for functions, variables, and classes.

    Sample Gemini Prompt:

    Review this code and generate detailed comments for all missing or unclear sections. Ensure the documentation aligns with standard conventions.

    What’s even better is that Gemini also cross-references the codebase with the comments, checking for consistency and identifying any areas that need further clarification.

    Why it works: Gemini is powerful because it can handle large projects with ease. It ensures that your documentation is always up to date, relevant, and consistent, freeing up more of my time to focus on coding instead of documentation updates.

    My AI-Powered Dev Workflow

    I decided to combine ChatGPT, Copilot, and Gemini in one place to streamline the entire process. The best tool I found for this was Chatronix, an AI workspace where I can run all three models side by side.

    With Chatronix, I can:

    • Run the same code snippet through ChatGPT, Copilot, and Gemini for a full view of how each AI would comment and document my code
    • Save my best-performing prompts and workflows, so I don’t have to start from scratch each time
    • Organize all my AI-generated content (comments, documentation, code suggestions) into a project folder for easy access

    This unified workspace has made a huge difference in my productivity. Instead of bouncing between tabs or switching apps, I can get everything done from one interface. My code is clearer, my comments are more detailed, and my projects are more consistent. Plus, with a fraction of the time spent on documentation, I can deliver work faster.

    How This Workflow Saves Me Time

    By using ChatGPT, Copilot, and Gemini together, I save hours every week that I would have spent writing and revising comments. Here’s a quick breakdown of how much time I save:

    TaskTime SavedTool Used
    Writing code comments60% fasterChatGPT, Copilot
    Generating API documentation75% fasterGemini
    Writing README files80% fasterChatGPT, Gemini
    Debugging and revising comments50% fasterCopilot

    By integrating these tools with Chatronix, I’ve automated the majority of my documentation process. What used to take hours now takes minutes.

    🚨 Breaking news:Microsoft just released Copilot Pro, and it’s crazy.It’s BETTER than ChatGPT in every way.Here are 11 Copilot features you should check out 🧵 : pic.twitter.com/SZF4Bo1INc— Shruti (@heyshrutimishra) January 23, 2024

    Conclusion: The Future of Coding Is AI-Powered

    With ChatGPT, Claude, Gemini, and Copilot, developers can now automate the most time-consuming parts of coding – writing comments, generating documentation, and even creating code. By bringing everything together in a unified workspace like Chatronix, you can increase productivity, improve code clarity, and reduce burnout.

    Ready to automate your coding and documentation workflow? Try Chatronix today and see how easy it is to get your coding process running on autopilot.

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    Lakisha Davis

      Lakisha Davis is a tech enthusiast with a passion for innovation and digital transformation. With her extensive knowledge in software development and a keen interest in emerging tech trends, Lakisha strives to make technology accessible and understandable to everyone.

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