[ Tag ]
05 articles
Most developers default to one model for everything. Here's a practical framework for matching each coding task to the right model — cutting costs without sacrificing quality.
How to identify independent workstreams, fan them out to multiple AI agent sessions simultaneously, and merge results without conflicts.
How to use AI to write commit messages, pull request descriptions, and changelogs that actually communicate intent — and where the workflow breaks down.
How to use AI coding assistants as a first-pass code reviewer — prompting for real feedback on code you wrote, interpreting what it finds, and fitting it into your workflow.
How to keep AI coding assistants accurate across a long feature branch — when to trim, reset, and summarize context so the model stays focused.