AI-Powered Laravel Pre-Commit Review: route:list, Staged Diff & Custom Prompts

This tutorial shows how to set up an AI-assisted pre-commit code review for Laravel projects by exporting environment details, route lists, and staged diffs into a structured prompt that checks for missing authentication, validation, transactions, queue retries, cache conflicts, and test coverage.

php Courses
php Courses
php Courses
AI-Powered Laravel Pre-Commit Review: route:list, Staged Diff & Custom Prompts

This guide demonstrates how to integrate AI into the Laravel pre-commit review workflow. Instead of having AI write code, the approach uses AI as a reviewer that examines staged changes against the project's routes, environment, and diff to spot common gaps.

Preparation

Run the script from the Laravel project root after staging your changes with git add. If no changes are staged, the diff will be empty and the review will have little value.

Operation Steps

Export Laravel environment summary ( php artisan about).

Export the route table ( php artisan route:list).

Export the staged diff ( git diff --staged).

Generate an AI review prompt that includes the collected files and a checklist.

Laravel AI Review Package Generation Script

#!/usr/bin/env bash
set -euo pipefail
mkdir -p .ai-review
php artisan about > .ai-review/laravel-about.txt
php artisan route:list > .ai-review/routes.txt
git diff --staged > .ai-review/staged.diff
cat > .ai-review/prompt.md <<'EOF'
You are a Laravel code review assistant.
Based on laravel-about.txt, routes.txt, and staged.diff, check:
1. Whether routes lack authentication
2. Whether form requests lack validation
3. Whether database writes need transactions
4. Whether queue jobs are retryable
5. Whether cache keys might conflict
6. Whether FeatureTests are missing
Only output risk points, impact scope, and modification suggestions.
EOF
echo "Generated .ai-review/ review materials"

How to Use the Generated Results

Send the four files — .ai-review/laravel-about.txt, .ai-review/routes.txt, .ai-review/staged.diff, and .ai-review/prompt.md — to an AI model. The AI will follow the checklist and output risk points.

Acceptance Criteria

The AI's output must not be taken as final. Developers must manually verify at least three items: whether authentication is truly missing, whether a transaction is truly required, and whether test coverage already exists. Only after confirmation should code be modified.

Original Source

Signed-in readers can open the original source through BestHub's protected redirect.

Sign in to view source
Republication Notice

This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactadmin@besthub.devand we will review it promptly.

automationcode qualityAI code reviewgit diffLaravelpre-commitphp artisan
php Courses
Written by

php Courses

php中文网's platform for the latest courses and technical articles, helping PHP learners advance quickly.

0 followers
Reader feedback

How this landed with the community

Sign in to like

Rate this article

Was this worth your time?

Sign in to rate
Discussion

0 Comments

Thoughtful readers leave field notes, pushback, and hard-won operational detail here.