Running coding agents in parallel works better when each one owns specific files

A developer shares a workflow for running coding agents in parallel: split the job and give each agent a list of files it can edit and a list it can't touch, so no files are shared and there is nothing to merge. Agents only need to get their part compiling, and the author runs build and tests once after all finish, instead of letting each agent run the full suite and waste tokens re-reading the same files; build failures go to a small fix agent with the exact error. The author also recommends pinning the model and effort for every agent to avoid silently landing on the most expensive model at max effort.

The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.