A mental model of Git in a team
Lesson 1 of the module "Understand the repository and its pipeline" in the course "Git for PMs: ship as a team without putting production at risk".
Lesson objective
By the end of this lesson, you will be able to explain where a change is (files, index, local commit, remote repository, main) and tell, from git status and git log, what is missing for it to reach production.
Where it fits
Understand the repository and its pipeline
What happens between my commit and production, and who decides?
Lessons in this module
- A mental model of Git in a team (this lesson)
- Read a repository and its pipeline before touching it
What you will learn in the course
This lesson is part of the course Git for PMs: ship as a team without putting production at risk
- Read an existing repository and its pipeline (README, CONTRIBUTING, CODEOWNERS, CI workflows, environments) to know who reviews what, what gets checked and what goes to production, and when.
- Work on a short-lived branch with everyday Git commands (or their GitHub equivalents), small commits named by convention, and stay in sync with main.
- Open a small, well-described pull request, get the right review, pass the required checks, validate the preview and choose the merge method.
- Resolve a simple merge conflict calmly, on the command line or in GitHub, and know when to ask for help.
- Assess a repository's safety nets (branch protection, required checks, mandatory review, feature flags, staging, progressive rollout) and propose the missing ones.
- Choose the right way to undo a change (restore, revert, reset, deployment rollback) depending on whether it is local, pushed, merged or already in production.
- Keep an AI coding agent under control in a team repository (dedicated branch, written rules, protected secrets, proof of verification, human review before merge).
- Tie merged changes to a release (tag, semantic versioning, changelog) and write release notes that help users.
Related courses
- Explain how a web product works, from browser to serverAll levels · ~2 hr 30 min
- Design and test an API integration as a PMJunior · ~3 hr
- Model your product’s data and query it with SQLJunior · ~3 hr 30 min