Depends on the model, Gemma 4 is extremely lazy in my experience, half the time it won’t finish the task properly anyway. Deepseek (not sure of the version) was crazily overactive. I personally prefer Gemma’s laziness, because it avoid making the chaotic changes that need to be rolled back, but thats a personal preference.
And thats kinda why I don’t like it being committed. If the entire team is using one model, then sure, commit the agents.md, and everyone gets a sane default, but given this is a multi-developer project with likely many different agents and models in use, it makes more sense to me that each developer manages the agents.md themselves and optimises it for their own model/workflow.
You do definitely need some agent-specific guidance locally. The committed AGENTS.md should be pretty sparse. Ironically I think the clearest use case is for instructing agents that AI contributions are not allowed. Not that they won’t ignore it if prompted.
Depends on the model, Gemma 4 is extremely lazy in my experience, half the time it won’t finish the task properly anyway. Deepseek (not sure of the version) was crazily overactive. I personally prefer Gemma’s laziness, because it avoid making the chaotic changes that need to be rolled back, but thats a personal preference.
And thats kinda why I don’t like it being committed. If the entire team is using one model, then sure, commit the agents.md, and everyone gets a sane default, but given this is a multi-developer project with likely many different agents and models in use, it makes more sense to me that each developer manages the agents.md themselves and optimises it for their own model/workflow.
You do definitely need some agent-specific guidance locally. The committed AGENTS.md should be pretty sparse. Ironically I think the clearest use case is for instructing agents that AI contributions are not allowed. Not that they won’t ignore it if prompted.