parser VS WordPress

For MySQL the situation is a bit different. sqlc uses the parser of TiDB (https://github.com/pingcap/parser), which is a parser that aims to be basically compatible with MySQL, but is quite young and is not a MySQL parser. The most basic queries work, but even simple joins or aggregations usually result in variables with unknown data types or wrong nullability. So you loose a lot of the benefits of sqlc. Manual type annotations for MySQL also do not work most of the time. They are simply ignored and forwarded to MySQL as invalid query if they do not occur on a place where sqlc is expecting them.

This is a disaster waiting to happen. Regular expressions should never be used to parse non-regular languages, of which SQL is one.

There are a variety of mature MySQL dialect parsers available[1][2], and MySQL should have its own public APIs for transforming a query into an AST. Any of those would be a safer and more correct alternative.

[1]: https://github.com/pingcap/parser

[2]: https://github.com/square/mysql-parser

Pingcap parser is a MySQL parser in Go.

Creating a high-performance website is essential in today’s digital age. Speed, efficiency, and a seamless user experience are the cornerstones of successful web development. This article explores how combining Next.js with WordPress can achieve these goals, providing a robust solution for developers looking to elevate their web projects.

WordPress as the backend headless CMS, offering a versatile content management foundation.

Open source CMS WordPress and Drupal introduced WYSIWYG editors and template customization to empower independent publishing but page building was still largely code-driven.

While specific CMS platforms were not directly listed in the sources as explicitly supporting Behat, it’s widely known in the development community that Behat can be integrated with several PHP-based CMS platforms. Drupal and _WordPress _are notable examples of PHP CMSs that support Behat testing, thanks to their flexible architecture and the availability of various plugins or modules that facilitate integration with Behat. For instance:

WordPress is the most popular CMS(Content Management System) among bloggers. The same fact has made WordPress more vulnerable to attacks by hackers. Especially for authentication vulnerabilities such as brute-force attacks.

I recent WordFence scan identified the plugin reCaptcha by BestWebSoft as a "critical" vulnerability adding that it has been removed from wordpress.org. Where can I find information as to why it was removed from wordpress.org or why it is a critical security vulnerability?

The Genshine Impact database site looks pretty custom, can't tell if there is any CMS involved. You could start with the tried and tested WordPress. I built my gaming site on WordPress, it's not as fancy as the site you linked but it has plenty of options and flexibility to build all sorts of sites.

Almost every host has one-click WordPress installs these days using either cPanel's WP Toolkit or Softaculous, so that should be a non-issue. You never have to visit wordpress.org if you go that route; the host is handling that for you. Watch Ferdy Korpershoek's videos on YouTube for tutorials on getting started with WordPress. Personally, I would not go with his hosting recommendations, however. I like iWebFusion, but there are other good recommendations over at /r/webhosting

I am on wordpress (commerce plan ) £55pm. wordpress.com is what I am using, however I have heard of wordpress.org also which requires more technical knolwedge which I am willing to invest in over the next 12 months.

wordpress.org requires that user input should be sanitized and validated, and output should be escaped, to prevent mischief by bad actors. This mantra is embedded in current wordpress.org plugin guidelines. Unfortunately older plugins may not comply, leaving them vulnerable. They always were vulnerable, but what's changed is the light has been shone on the issue by Patchman and others. Publicly available code can be scanned by both good and bad actors to detect where malware can be injected.