This topic is a video lesson inside the GitHub Workflow & Code Review module. The goal is not to memorize the title: reconstruct the problem it solves, the mechanism that makes it work, and the signal that tells you when to use it.
Remember the shape, not the sentence
“Small PRs get reviewed; big PRs get rubber-stamped.”
What problem does this solve?
Start from the engineering problem rather than the definition. Code review culture: what to catch, what to automate exists because a system needs a reliable way to handle a recurring constraint inside GitHub Workflow & Code Review. Ask what would become slow, ambiguous, unsafe, or impossible without it.
How the mechanism works
Break the idea into observable steps. The useful mental model is: input → transformation → decision or state change → output. Keep each step small enough that you can redraw it from memory. The surrounding module is the context: Small PRs get reviewed; big PRs get rubber-stamped.
When to reach for it
Use nearby concepts as contrasts. In this module, compare Code review culture: what to catch, what to automate with PR hygiene: size, descriptions, stacked diffs, Branch protection, semantic commits, changelogs, Monorepos vs polyrepos: tooling implications. The distinction matters because good engineering choices depend on the constraints, not on memorizing isolated definitions.
See the mechanism before you memorize it
One diagram, one causal story, one reconstruction task.
Code review culture: what to catch, what to automate — causal map
Frame
State the problem and the constraints before naming the technique.
Transform
Apply the core mechanism of Code review culture: what to catch, what to automate and track what state changes.
Observe
Inspect the artifact, output, invariant, or behavior produced by the mechanism.
Transfer
Explain where the same idea appears elsewhere in DevOps & Git.
Draw the idea yourself
Rebuild the core flow on a real canvas before moving to the worked walkthrough.
Walk the system
Frame
State the problem and the constraints before naming the technique.
Transform
Apply the core mechanism of Code review culture: what to catch, what to automate and track what state changes.
Observe
Inspect the artifact, output, invariant, or behavior produced by the mechanism.
Transfer
Explain where the same idea appears elsewhere in DevOps & Git.
Reconstruction card
Use the card as a generative note, not a summary to copy. Fill it from memory after the explanation.
TOPIC: Code review culture: what to catch, what to automate
MODULE: GitHub Workflow & Code Review
TYPE: video lesson
PROMPT
What problem does it solve?
What changes step by step?
What evidence proves it worked?
When would you choose something else?What usually goes wrong
Close the tab. Rebuild it from memory.
Read the question, answer aloud, then reveal.
What problem is Code review culture: what to catch, what to automate designed to solve?Reveal answer
It addresses a recurring constraint inside GitHub Workflow & Code Review. A strong answer names the input, the core mechanism, and the result rather than repeating the title.
What are the four stages of the mental model?Reveal answer
Frame the problem → transform the input/state → observe the evidence → transfer the idea to a new scenario.
What belongs in CI vs human review?Reveal answer
Machines: formatting, lint, types, tests, security scans. Humans: design, naming, architecture, edge-case reasoning.
Make this idea travel.
Connect it next to: Git internals: blobs, trees, commits — the object graph • Branching strategies: trunk-based vs GitFlow • rebase -i, cherry-pick, reset (soft/mixed/hard) • Interactive: disaster recovery with reflog.