LinkWeb Coder Pro LtdResource
The archive serves as a chronological reference point for discovering tutorials, package updates, and tooling trends in the Laravel space during 2026.
The list of topics highlights key ecosystem trends, notably the expansion of PHP into desktop and mobile environments via NativePHP, testing updates with Pest, and UI admin toolkits with Filament.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
Similar in content, found by the AI search.
Link:laraveldaily.com
Laravel Daily's course directory provides video and text-based tutorials for the Laravel ecosystem, featuring recent releases on Laravel 13, NativePHP v4, Livewire 4, and the integration of AI coding agents into developer workflows.
Link:Laravel Daily
Filament Examples is a curated showcase platform created by Laravel Daily, offering real-world implementation examples for the Laravel-based Filament framework. The catalogue spans dozens of practical projects covering Filament 3 as well as Filament 4/5, alongside tutorials, the FilaCheck package, and an MCP server.
Link:Laravel Daily
Laravel Daily has published the curriculum for its 'Laravel 13 Eloquent: Expert Level' course. The lessons address advanced ORM techniques, covering model configurations, record lifecycles, complex relationships, query performance, and debugging strategies.
Link:Laravel Daily
Laravel Daily published the curriculum for an advanced training course on the Eloquent ORM in Laravel 13. It spans model configuration, querying techniques, performance tuning, advanced relations, and supplementary packages.
Repository:swoole/typephp
TypePHP is an Ahead-Of-Time (AOT) compiler developed under Swoole that translates PHP source code into C++17 and then into native machine code. It produces standalone executables, PHP extensions, shared libraries, or WASI components without interpreting Zend opcodes at runtime.
1.2kstarsPHP
Link:aicodingdaily.com
The AI Coding Daily platform publishes regular benchmarks, practical experiments, and video tutorials focused on coding with large language models. Content covers frontier model comparisons, cost optimisation, local LLMs, and agent safeguards.
Parts of this content were created with the assistance of AI.
