AI Course Content Generator
An AI Course Content Generator designs, creates, and iterates on educational materials-courses, tutorials, labs, assessments, and …
Skill Guide
Applying Git-based version control systems to track, manage, and collaborate on the development, revision, and deployment of digital course content (e.g., slides, code samples, markdown, videos, LMS configurations).
Scenario
You are tasked with creating a single, self-contained mini-course (e.g., 'Introduction to Python') that includes a slide deck in Markdown, one code example file, and a README.
Scenario
Two instructors need to simultaneously update different sections of the same course module: one to update slide content, another to revise an accompanying lab exercise. Changes must be integrated without overwriting each other.
Scenario
Your organization's training portal is built with a static site generator (e.g., Jekyll). The goal is for content approved in a `main` Git branch to automatically build and deploy to the production site.
Git CLI is the core engine. GitHub/GitLab provide hosting, collaboration (PRs, issues), and CI/CD. Git LFS is mandatory for managing large binaries. SSGs enable content-as-code. CI/CD automates testing and deployment upon commit.
Choose a branching strategy (Trunk-Based for speed, Git Flow for complex releases). Use semantic commits (e.g., 'feat:', 'fix:') for automated changelogs and audit clarity. A rigorous PR culture is the primary quality gate for content accuracy.
Answer Strategy
Structure the answer using a Post-Mortem/Incident Response framework: 1) Immediate Mitigation: Use `git revert` to create a new commit that undoes the destructive change, restoring the pipeline. 2) Root Cause Analysis: Review the commit history to identify the breaking change. The lack of branch protection and mandatory CI checks on `main` allowed it. 3) Process Improvement: Implement branch protection rules requiring PR reviews and passing CI status checks. Educate the team on using feature branches.
Answer Strategy
Test architectural thinking and scalability knowledge. The answer should compare monorepo vs. multi-repo approaches and discuss dependency management. Mention Git submodules/subtrees, but focus on their operational trade-offs (complexity vs. consistency).
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