That's the sad part. Empiricism is scarce when people and companies are incentivized to treat their AI practices as trade secrets. It's fundamentally distinct from prior software movements which were largely underwritten by open, accessible, and permissively-licensed technologies.
Can you update the title? "Do you have any evidence that agentic coding works?" sounds like you're seeking verifiable data, but in your post you're soliciting advice for how to use these tools. I clicked hoping for empiricism and got the same hamster wheel of "you're holding it wrong" that I see in every social media comment section about AI tooling.
Heads up: I clicked a tile and got the hamsterdance music pretty loud in my ears. Serves me right for being distracted during a meeting but still, sound warning :)
The narrative structure of the article would be brilliant satire but I'm 90% certain that the author is serious about the conclusions they drew at the end, which I find sad.
The big difference is accountability. An LLM has no mortality; it has no use for fear, no embodied concept of reputation, no persistent values. Everything is ephemera. But they are useful! More useful than humans in some scenarios! So there's that. But when I consider the purpose of conversation, utility is only one consideration among many.
Framing obvious/old ideas in a novel way can be helpful. "Collaboration" is a meme that makes it easy to view all collaboration-shaped exchanges as helpful and the opposite as harmful. A memorable counter-narrative can help people think more critically when faced with an applicable situation.
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