Continuous integration with AI-powered code review catches bugs before they reach production. Here's how to build a GitHub Actions workflow that runs Claude-powered analysis on every pull request.

Why AI Code Review in CI?

Traditional CI catches syntax errors and test failures. AI code review catches:

Logic bugs

Security vulnerabilities

Performance issues

Code quality problems

Documentation gaps

The GitHub Actions Workflow

`yaml

.github/workflows/ai-review.yml

name: AI Code Review

on:

pull_request:

types: [opened, synchronize, reopened]

jobs:

ai-review:

runs-on: ubuntu-latest

permissions:

pull-requests: write

contents: read

steps:

name: Checkout code

uses: actions/checkout@v4

with:

fetch-depth: 0

name: Get PR diff

id: diff

run: |

git diff origin/${{ github.baseref }}...HEAD > prdiff.txt

echo "diffsize=$(wc -c < prdiff.txt)" >> $GITHUB_OUTPUT

echo "fileschanged=$(git diff --name-only origin/${{ github.baseref }}...HEAD | wc -l)" >> $GITHUB_OUTPUT

name: Run AI Code Review

if:…