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May 31 · 19 min read · TL;DR In the AI era, architecture analysis cannot stop at reading code as files, functions, imports, and dependency graphs. We need to observe the smallest units that carry architectural meaning. I ca
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May 22 · 14 min read · TL;DR This article starts from the ForecastCone in Software Field Theory (SFT), then reads modularity, technical debt, review, governance, and learning as parts of one research program. The goal is si
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May 13 · 20 min read · AI coding agents are making us faster at writing code. That is a major shift. But writing code faster is not the same as helping software evolve in a healthy way. The faster we stack up changes, the m
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May 11 · 18 min read · Most multi-agent systems make agents talk to each other. We tried something different: our agents do not talk to each other at all. They leave traces in a shared environment. Other agents read those t
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May 9 · 35 min read · TL;DR A codebase can be read as a field that attracts future changes, and a pull request can be read as a force applied to that field. A good field makes good changes easier to make. A bad field rep
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