Tiny Blog CRUD API
Build Post model + migration, add apiResource routes, return JSON responses, and validate create/update requests.
Backend & Runtime / Knowledge library
Laravel
php framework for rapid backend web apps
Why learn Laravel?
Laravel helps backend teams ship secure CRUD and API features faster by bundling routing, ORM, auth, validation, queues, caching, testing tools, and clear conventions in one PHP framework.
Where it came from
2011: Created by Taylor Otwell as a modern alternative to older PHP frameworks. 2013: Laravel 4 rebuilt core parts around reusable Composer packages. 2015: Laravel 5 unified many features (middleware, queues, events, scheduling) under a cleaner structure. 2024: Laravel 11 reduced boilerplate in fresh apps and simplified default project layout.
- 2011: Created by Taylor Otwell as a modern alternative to older PHP frameworks.
- 2013: Laravel 4 rebuilt core parts around reusable Composer packages.
- 2015: Laravel 5 unified many features (middleware, queues, events, scheduling) under a cleaner structure.
- 2024: Laravel 11 reduced boilerplate in fresh apps and simplified default project layout.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Build Post model + migration, add apiResource routes, return JSON responses, and validate create/update requests.
- Protect post editing so only owners can update/delete. Use middleware + policy methods and test forbidden access.
- On user registration, dispatch a queued job to send email. Add retry handling and a feature test that fakes the queue.
- Cache a public posts endpoint with tagged cache keys and clear cache on post updates. Measure response improvement.
- Add custom exception rendering for API validation/auth failures and ensure consistent JSON error format.
More ways to practice
Auth + Policy Guarding
Protect post editing so only owners can update/delete. Use middleware + policy methods and test forbidden access.
Queue a Welcome Email
On user registration, dispatch a queued job to send email. Add retry handling and a feature test that fakes the queue.
Cache Hot Endpoint
Cache a public posts endpoint with tagged cache keys and clear cache on post updates. Measure response improvement.
Production-Style Error Handling
Add custom exception rendering for API validation/auth failures and ensure consistent JSON error format.
Documentation and sources
- Official Documentation (laravel.com)
- Release Notes (laravel.com)
- Routing (laravel.com)
- Eloquent ORM (laravel.com)
Catalog research notes
- Laravel 11 introduced a slimmer default app structure with more setup in bootstrap/app.php.
- Current major releases keep a yearly cadence with focused upgrade guides.
- Starter workflows remain centered on modern tooling (Vite, Tailwind, queues, jobs, and testing).
Connect the ideas
Explore next
Real World Example
Streamlining AI-Assisted Development with Laravel Boost
Development teams using AI coding agents to accelerate feature delivery.
The business problem
AI agents often generate non-idiomatic code or violate framework conventions because they lack project-specific context, leading to high maintenance costs and technical debt.
How this topic solves it
Laravel Boost bridges the gap by providing AI agents with specialized tools and vectorized documentation, ensuring generated code adheres to Laravel's opinionated structure and version-specific requirements.
- Install Laravel Boost as a development dependency via Composer.
- Execute the interactive installer to configure IDE and agent integration.
- Define custom project-specific guidelines in the .ai/guidelines/ directory.
- Allow the agent to utilize Boost tools to query database schemas and documentation.
The flow shows how an AI agent interacts with the Laravel application through Boost.
The coding assistant
Context provider tool
Source code and .ai/guidelines
The application structure
- AI Agent → queries context → Laravel Boost
- Laravel Boost → reads guidelines → Project Files
- Laravel Boost → fetches schema/docs → Laravel Framework
- AI Agent → generates code → Laravel Framework
Implementation example
These commands initialize the Boost environment, allowing AI agents to access project-specific tools and documentation.
# Install Boost as a dev dependency
composer require laravel/boost --dev
# Run the interactive installer to configure agents
php artisan boost:installExpected business outcome
AI agents produce consistent, idiomatic code that aligns with established framework patterns, reducing the need for manual refactoring.
Limitations and checks
Boost relies on the agent's ability to interpret provided context; if the .ai/guidelines/ files are poorly defined, the agent may still produce suboptimal code. Verify by reviewing generated code against standard Laravel conventions.