grepsedawkThe Git Commands I Run Before Reading Any Code
https://piechowski.io/post/git-commands-before-reading-code/
Jujutsu equivalents, if anyone is curious:
What Changes the Most
jj log --no-graph -r 'ancestors(trunk()) & committer_date(after:"1 year ago")' \
-T 'self.diff().files().map(|f| f.path() ++ "\n").join("")' \
| sort | uniq -c | sort -nr | head -20
Who Built This
jj log --no-graph -r 'ancestors(trunk()) & ~merges()' \
-T 'self.author().name() ++ "\n"' \
| sort | uniq -c | sort -nr
Where Do Bugs Cluster
jj log --no-graph -r 'ancestors(trunk()) & description(regex:"(?i)fix|bug|broken")' \
-T 'self.diff().files().map(|f| f.path() ++ "\n").join("")' \
| sort | uniq -c | sort -nr | head -20
Is This Project Accelerating or Dying
jj log --no-graph -r 'ancestors(trunk())' \
-T 'self.committer().timestamp().format("%Y-%m") ++ "\n"' \
| sort | uniq -c
How Often Is the Team Firefighting
jj log --no-graph \
-r 'ancestors(trunk()) & committer_date(after:"1 year ago") & description(regex:"(?i)revert|hotfix|emergency|rollback")'
Much more verbose, closer to programming than shell scripting. But less flags to remember.
I can't remember all of this, does anyone know of any LLM model trained on CLI which can be run locally?