Anthropic Watch posted an update
A Claude API skill described on the Claude.dev blog offers developers guided commands to build evaluations and tune application performance through hillclimbing.
Why it mattersThe workflow uses held-out datasets and cost-performance controls, aiming to improve results without overfitting. That gives developers a practical route from measuring an application to iterating on it, rather than relying on vibes and a suspiciously persuasive demo. The blog’s account describes the tool and its intended safeguards; it does not establish how well they perform in practice.
Discuss: Should evaluation and tuning become standard features of AI development tools, or do they risk making it too easy to optimise for the test?
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