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It’s annoying when you’re working inside a coding agent, doing something with an external service that takes more time than a single turn.
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Some libraries get old in a good way.
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A fly’s nervous system gets mapped by researchers.
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Around December 2025, seasoned engineers noticed that frontier coding models now generated consistently high-quality code at a low cost.
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Writing about someone who wrote for the sheer joy of it is not easy, but I will try.
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TL;DR: 4B and 9B models on ANE, bypassing CoreML entirely 11.66 tok/s single-stream, 28.62 tok/s with four concurrent streams — GPU and CPU idle Same 16-core ANE on every M1 through M5, regardless of SKU Bottleneck is dispatch overhead, not compute or ban…
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TL;DR: 4,784 skills scraped from 5 registries Average quality score ~78, 31% score 90+ 28% are duplicates ~10% install packages via npm/pip No verification, no provenance Treat like early npm—read what you install Browse all skills →
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In my previous post, I analyzed 4,784 AI agent skills across 5 registries.