The release introduces a memoized cache driver to enhance performance by storing frequently accessed values in memory. It also adds a callback feature to DB::transaction() for handling transaction failures, and enhances testing with a frozen time feature for more accurate time-dependent tests. Additionally, it provides a new withRelationshipAutoloading method on models, enabling relationship autoloading without needing collections.

Laravel’s appliedRules() lets you sync frontend hints with actual validation logic. Useful for things like password requirements, it ensures your Blade forms show only the rules that really apply—no more guessing or outdated indicators.

New memoize driver enhances caching by storing values in memory for the request duration, reducing repeated cache store hits and improving performance, especially for costly operations.

Explore Laravel's model casts, mutators, and accessors, focusing on creating and testing custom casts. Learn how to manipulate data storage and retrieval effectively within your Laravel applications.

data_fill() helper lets you set a value in a deeply nested array or object using dot notation, only if the value doesn’t already exist. You can also use asterisks as wildcards to apply the value across multiple items in an array.

$data = [
    ['name' => 'Alice'],
    ['name' => 'Bob', 'role' => 'admin'],
    ['name' => 'Charlie'],
];

data_fill($data, '*.role', 'user');

// Result:
[
    ['name' => 'Alice', 'role' => 'user'],
    ['name' => 'Bob', 'role' => 'admin'],
    ['name' => 'Charlie', 'role' => 'user'],
]

PhpStorm 2025.1 enhances PHPStan annotations, simplifies Xdebug setup, improves WordPress support, and introduces JetBrains AI features with offline mode and expanded AI model options for a better development experience.

Explore advanced enum usage in PHP and Laravel, covering backed enums, factories, validation, route binding, model casts, and default attribute values for streamlined and efficient development practices.

This package lets you access auth()->user() directly inside queued jobs by applying a simple middleware. Ideal for user-specific processing, role-based logic, authorization checks, and building audit trails with user context.

The article argues for hiring junior employees, highlighting their fresh perspectives, energy, and potential for growth. Mentoring juniors fosters leadership skills and cultivates a thriving, diverse organizational culture.

The article discusses the security challenges of using LLMs, emphasizing treating their output as untrusted user input. It highlights issues like prompt injection, access control for LLM tools, and potential denial-of-service attacks.

This guide from OpenAI outlines a practical framework for identifying high-impact AI opportunities within a business. It emphasizes aligning AI use cases with core business objectives, assessing feasibility and data readiness, and piloting with measurable outcomes. A useful resource for teams seeking to integrate AI responsibly and effectively into their operations.