smartcmd

smartcmd / claude-your-gpt

Public

Make GPT code like Claude.

16
1
100% credibility
Found Mar 22, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Java
AI Summary

A project comparing code generated by GPT and Claude on sample Java tasks to create prompts that improve GPT's coding style for use with AI coding assistants.

How It Works

1
🔍 Discover the fix for AI code quirks

You hear about a simple way to make your AI coding helper write cleaner, more professional code by borrowing tips from another smart AI.

2
💡 Learn how it works

You read stories of real coding challenges where one AI shines in style, and see how those lessons were turned into easy instructions for your AI.

3
📥 Grab the magic instructions

You download a single helpful file that holds all the style secrets.

4
📁 Drop it in the right spot

You place the file in your coding helper's special folder or your project area, and it's ready to go.

5
✍️ Give your AI a coding task

You ask your AI to build something, like an event system or math calculator, just like before.

6
⭐ Admire the polished code

Your AI now delivers neat, reliable code that looks and works like it was written by an expert.

🎉 Code like a pro, effortlessly

From now on, every piece of code your AI creates feels professional and ready to use right away.

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Star Growth

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AI-Generated Review

What is claude-your-gpt?

This Java project distills prompts from side-by-side coding tasks—like building event buses, expression parsers, and password validators—where Claude consistently outshines GPT in clean, robust code style. It solves GPT's recurring issues with verbose, error-prone output by packaging language-agnostic guidelines into a single file you drop into your Codex home directory or project root. Developers using AI tools like GitHub Copilot get GPT code that mimics Claude's concise, extensible approach, making GPT sound human and less detectable as AI-generated.

Why is it gaining traction?

Unlike generic prompts, these are battle-tested on real tasks, helping make GitHub Copilot faster at producing production-ready code without endless tweaks. The hook is instant style upgrades—think thread-safe event handling or configurable validators—that cut debugging time, plus easy integration with any tool supporting system prompts to make GPT text more human. Java examples prove it works, but prompts apply anywhere.

Who should use this?

Java backend devs generating event systems or validators via Copilot, frontend folks parsing expressions in scripts, or anyone tired of refactoring GPT's bloated code. Ideal for teams making GitHub repos private or public with clean AI-assisted prototypes, or solo hackers wanting to make GPT partition codebases efficiently.

Verdict

Grab it if you're deep into AI code gen—16 stars and 1.0% credibility score signal early days with thin docs, but comprehensive main-method tests show promise. Test on your next task before committing.

(198 words)

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