#Git

The procedure that turns a month of commits into a report a non-technical reader can follow: an AI agent reads, groups, drafts, and captures code evidence behind checks, while I sign in to the code hosts and review the result.

What did I work on last month? The answer is in the commit log, but commits are written for git and my future self. Forty-five lines of flags turn that log into notes for the person asking — a transformation of the audience, not of the data.

Commands I run four times a year are the expensive case: I remember their shape, not their syntax, and get something plausible but wrong. Three scripts hold the decisions, and their guards depend on whether there is a choice I could get wrong, not on danger.