1,742
1,740
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435431314314
188Apr 15 · 26 min read · When building a machine learning model, it's tempting to train it on your data, check the score, and call it done. But that score is misleading — the model has already "seen" the data it's being evalu
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Apr 9 · 12 min read · 1. The Unix pipeline Every Unix user knows the pipe operator. Typing ls | wc -l, and two independent programs exchange data as if they were designed together. That simplicity reflects a deliberate des
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Mar 29 · 3 min read · When an AI Agent calls a tool, we often think of it as a simple "request-response" event. But in the apcore world, every call is a mission-critical journey. Whether you are invoking a Python module or
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Mar 27 · 5 min read · Rotifer genes are powerful on their own, but the real magic happens when you compose them. The gene algebra — Seq, Par, Cond, Try, and Transform — lets you wire simple genes into complex agent pipelines that are type-safe, verifiable, and automatical...
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