I'm actually quite sure that directly retrying the tool call would often fix the edit-call already. But these models have been trained to "think" for a while for any problem solving, so they'll presume the problem of the edit is more fundamental and spend unnecessary tokens filling up the context.

I'll experiment more with the effectiveness of AGENTS.md rules for local Pi agents. I feel like smaller (local) LLMs just lack in attentiveness to elements in the context window, like precise instructions, compared to e.g. Claude models.