[NitpickLawyer]

Help me understand. Is this for cases where you have a file and you "ask" an LLM to change something, and they reply in chat mode with something like < //--unchanged code \n changed line \n changed line \n //----remaining code unchanged > ?

If so, isn't this flow like 6mo old, and not really used anymore? The latest tools (terminal based and vscode extensions like cline/roo/kilo) already support "diff edits", where the model outputs a diff format that the tool speaks. I get "instant" edits that way, right in my IDE, and model support has been great (gpt5,claude4,gemini2.5,grok-fast-1, etc.)

So what's the use case of this model, then? Cool technical results, and congrats, but it seems the "field" has already solved for this particular problem?

[bhaktatejas922]

https://morphllm.com/benchmarks

Using fast apply is more reliable at first pass and is faster/cheaper. You prompt your agent to output in a lazy format and our model learns hoe to merge it in.

The ides listed typically do turn based search and replace which uses more tokens and takes longer

Kilo supports morph as well!