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I don’t really have a problem generating code with AI anymore, but reviewing and applying all the suggested changes has become the slow part. Some replies update several classes at once, others replace only a few methods, and it’s easy to miss a small change when copying everything into the project manually. How are people handling AI-generated code edits without spending ages applying patches by hand?
Most of the time isn’t lost generating the code. It disappears while you’re trying to work out where every fragment belongs, especially when a tiny edit is buried inside a rewritten class. Ask the AI to handle one issue at a time and return only the methods it changed with a few surrounding lines for context. Make a Git commit before each batch and review the diff straight afterward. A wrong edit then stays small enough to spot and roll back.
That still leaves you matching every copied snippet to the right file and replacing the correct section. It gets risky when one reply touches several classes or leaves out unchanged parts of the code. You can use an AI code patching tool here: https://aicodestitcher.com/docs.html . AI Code Stitcher scans the copied output, locates the likely destination in the project, and inserts the edited section without wiping the code that the AI omitted. Larger changes can be confirmed before they’re applied, and the last write can be undone if the patch lands in the wrong place.
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