AI coding agents make it easier to produce code, but they also create more work that is difficult to see: reviewing generated changes, correcting assumptions, debugging unexpected behavior, and deciding what should ship.
Meridian is built to capture that hidden work locally and turn it into reviewable updates when you choose.
Which part of working with AI coding tools is hardest to reflect in your tickets, commits, or standups: prompting, review, debugging, or the product decisions behind the changes?
