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文章用 tmux 的 git 历史数据检验 James Shore 的「每写一个人月代码会产生固定维护成本」的阈值模型，发现实际维护成本随时间呈几何级增长，而非简单阈值模型，约三分之二的总工作量花在维护上。
A quoted excerpt from Florian Herrengt's blog post discusses how AI-assisted development can lead to undebuggable, convoluted codebases where even AI tools like Claude can't fix issues, highlighting a growing problem in software engineering.
cargo-crap is a Rust tool that uses the CRAP metric to identify functions that are both complex and poorly tested, helping developers manage risk in AI-generated code.