Lab

Mon, 01 Jan 0001 00:00:00 +0000

Time: ~20 min | Day 3 AM (shared with M09)

Learning Objectives

Build an AI-assisted CI pipeline with automated PR review — one of the highest-ROI AI integration points for development teams.

Pipeline Stage	What AI Can Do	Example
Linting	Catch semantic issues linters miss	“This function always returns None in this branch”
PR Review	First-pass automated review	Style, missing error handling, security anti-patterns
Security Scan	Explain vulnerabilities + suggest fixes	“This SQL query is vulnerable to injection. Use parameterized queries instead.”
Test Analysis	Identify flaky tests, coverage gaps	“These 3 tests fail intermittently — possible race condition”
Pipeline Config	Generate CI configs for new projects	“Generate a GitHub Actions workflow for a Python FastAPI project”

Developer pushes PR → CI runs AI review → AI posts review comments →
Developer addresses → Human reviewer approves → Merge

What AI catches: Style violations, missing error handling, hardcoded values, security anti-patterns, obvious bugs.