AI can write code far faster than you can read it, which makes reviewing one of the most valuable skills in vibe coding. You do not need to understand every line, but you do need a reliable way to decide whether what the AI produced is correct, safe, and worth keeping.
This module covers reading code at a high level, testing the app yourself before looking at the code, and spotting common AI problems such as missing edge cases, duplicated logic, and weak security. You will also see how experienced developers use a risk-based approach to spend their review time where it matters most.
Watch the lessons in order, then continue on to Agentic Coding Workflows.
A step-by-step method for reviewing AI-generated code: test the app first, run the tests, then go through the files that matter most.
JetBrains engineers put an AI coding agent to work and question whether its output can be trusted.
A walkthrough of reviewing a real AI-built feature, from the overall design and database schema down to the code itself.
A risk-based workflow for reviewing AI code when there is more of it than anyone can read line by line.
A modern approach to checking an entire AI-built feature quickly, without reading every line of code.