Earlier quoted context omitted.
The problem is that you're talking about a multistep process where each step beyond the first depends on the particular path the agent starts down, along with human input that's going to vary at each step. I made a crude first stab at an approach that at least uses similar steps and structure to compare the effectiveness of AI agents. My approach was used on a small toy problem, but one that was complex enough the ag…
What you're getting at is the heart of the problem with the LLM hype train though, isn't it? "We should have rigorous evaluations of whether or not [thing] works." seems like an incredibly obvious thought. But in the realm of LLM-enabled use cases they're also expensive . You'd need to recruit dozens, perhaps even hundreds of developers to do this, with extensive observation and rating of the results. So rather than…
> "We should have rigorous evaluations of whether or not [thing] works." seems like an incredibly obvious thought.
Heh, I'd rephrase the first part to:
> What you're getting at is the heart of the problem with software development though, isn't it?