Summary:
When working with code in ChatGPT, especially larger files like trading bots (MQL5, Python scripts, web apps, etc.), the current workflow often requires ChatGPT to rewrite the entire file even for very small changes (e.g., fixing a single CopyBuffer call or changing a variable type). This is inefficient and increases the chance of introducing new errors or losing custom edits.
Proposed Feature:
Introduce a “Code Patch Mode” where users can:
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Paste their existing code (or a snippet).
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Ask ChatGPT to add, remove, or modify specific lines.
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ChatGPT would then only return the minimal diff/patch needed, instead of rewriting the full file.
For example:
User: Please replace line 115 from `CopyBuffer(..., myDouble)` to `ReadOne(..., myDouble)`
ChatGPT: ✅ Changed line 115: `CopyBuffer` call replaced with `ReadOne`.
Benefits:
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More efficient debugging: No need to scroll through hundreds of unchanged lines.
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Lower error risk: Prevents accidental deletion of working code when ChatGPT regenerates the entire file.
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Closer to a real developer workflow: Similar to using
git diffor IDE patch suggestions. -
Better collaboration: Users can apply small changes step by step, keeping control over the whole file.
Extra Ideas:
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An option for ChatGPT to output a unified diff format (
---/+++) so patches can be applied directly in version control. -
A toggle between “rewrite full file” and “apply patch” modes.
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A visual “code editor mode” where changes are highlighted (like in GitHub PR reviews).
Use Case Examples:
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Debugging C++ bots where one or two
CopyBufferlines cause compilation errors. -
Adjusting stop-loss logic in a strategy without losing the rest of the EA.
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Quickly testing variations of small functions in large Python or JS projects.
Sam