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The first thing I do with a new codebase isnβt dive into the files; I run specific
gitcommands to assess its health. Thegit log --formatcommand can reveal the 20 most changed files over the past year, highlighting those at risk of being "codebase drag." A 2005 Microsoft study showed that churn metrics predict defects better than complexity metrics. I cross-reference high-churn files withgit log -i -E --grepfor bug keywords to identify the most dangerous areas. Assessing contributor activity withgit shortlog -sn --no-mergesalso helps determine the bus factor and stability of knowledge in the team. Declining commit trends signal team momentum loss and issues in deployment are indicated by revert frequencies. These simple commands offer a quick snapshot of a codebaseβs challenges, guiding me on where to focus my attention first.
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