> Recent GPT and Claude models have this tendency of using super complex Bash commands. This makes sense, if your RL rewards optimize for min(tokens) and max(performance), it is better to waste a few tokens on a complex inline Bash script that runs a few commands at a time and returns just the output you need, rather than doing one simple command per turn and paying the cache read on every turn, like older models used to do.

This is not a good reason. Models can issue multiple tool calls as a batch, which a smart harness will process all at once without starting a new turn. I see it in Zed all the time. In fact, Zed processes batched tool calls concurrently, which can be faster than a chain of Bash commands, and failure of one part does not cause failure of subsequent parts chained with `&&`. This approach is token neutral and easier to understand.