Trending Posts Related to PHP and Laravel in March 2023
What happened in the PHP and Laravel community in the last month?
Keeping up with the latest news in development is not always possible and often overwhelming. A lot can happen in a month, and if you don’t constantly monitor the community, it is easy to miss important updates.
This is an experiment to gauge the interest of the community for a monthly summary of the top trending posts.
What happened on Reddit?
There are quite a few relevant subreddits, but we’ll focus on the 2 most popular and active ones to start with. To narrow the scope, we’ll restrict the posts to links only.
Subreddit r/PHP
Top 10 posts in the r/PHP community.
#1) Celebrating 25 Years of cURL! 🎂
#2) Hi, I’ve created a GPX library for PHP to work with GPS data, perhaps someone find it useful here.
#3) The History of PHP: From 1995 to 2023
#5) Bref 2.0 has been released (PHP on AWS Lambda)
#6) JShrink, the pure PHP Javascript Minifier, has biggest release since 2014
#7) JetBrains: Secure Your PHP Code With Taint Analysis by Qodana
#8) Introducing Bladestan — PHPStan analysis of Blade templates
#9) Discovering PHP’s first-class callable syntax
#10) Monitoring PHP Performance and Diagnosing Bottlenecks
Subreddit r/laravel
Top 10 posts in the r/laravel community.
#1) Vemto 2 development update — changing models
#2) Flaky: Handle intermittent failures caused by unreliable third parties
#3) Haulable — Make PHP (e.g. Laravel Zero) apps truly portable by bundling PHP
#4) Pest v2: see all new amazing features in action
#5) Discovering PHP’s first-class callable syntax
#7) Introducing Bladestan — PHPStan analysis of Blade templates
#8) Build a habit tracker with Laravel and TDD
#9) Taylor Otwell: Laracon India 2023 — Showing demos of Laravel Folio and Laravel Volt
#10) Replicating Laravel’s DI Container — Part 1
What happened on Twitter?
Most popular tweets based on the following hashtags: #php #laravel
Show your interest by liking this story or leaving a comment. I will decide on whether I continue based on the feedback.
The process is partially automated by scraping data from Reddit and Twitter, using a combination of Laravel and Python. The project is open-sourced and contributions are welcomed.
