There are two sets of characters for Chinese numerals: one for everyday writing, known as xiǎoxiě (小寫; 小写; 'small writing'), and one for use in commercial, accounting or financial contexts, known as dàxiě (大寫; 大写; 'big writing' or 'capital numbers').
While AI-generated code provides a convenient starting point, complete reliance on AI output still carries significant risks today. Particularly when learning a new field, it's better to start with official documentation. Once you have a basic understanding, engaging with AI can lead to better results and improved efficiency.
In summary, while AI is a powerful tool, over-dependence on it may actually hinder our productivity. While leveraging AI's capabilities, we shouldn't overlook other valuable resources.
Furthermore, even in areas where you have expertise, it's crucial not to skip fundamental checks and reviews.
As a developer who regularly works with PHP Laravel and Python Flask, I encountered several challenges while upgrading to Tailwind CSS V4.
After resolving these issues step by step, I've written this blog post "Complete Guide to Installing Tailwind CSSv4 in Frameworks" to supplement the official documentation and help others who might face similar installation and configuration challenges.
Integrating Tailwind CSS 4 into backend frameworks primarily involves correctly configuring three key files: input.css, package.json, and the new vite.config.ts. The main focus is ensuring these files properly reference your project's directory structure.The most crucial modifications include:
- Setting the `type` field to `module` in `package.json`
- Correctly defining the `outDir`, `input`, and `output` paths in `vite.config.ts`
These adjustments ensure proper file resolution and build processes in your framework.
I've tried prompting models like ChatGPT, Cursor, and Deepseek to summarize or refine text to fit within 90–160 characters, yet they frequently exceed the limit. Even after I point this out and ask for a shorter version, they still tend to go over the range. As a result, I created a simple tool to precisely count characters. What kind of prompt should I use to ensure AI reliably generates text within the desired range?
I’ve browsed Plurrrr and tumblelogs. You've been writing tumblelogs for many years, and while there are plenty of static site generators available in the market, creating one myself feels much more exciting.
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I referred to this template (https://tailwindui.com/templates/spotlight), which is built with React and Next.js. However, I didn't want to load too many third-party frameworks, so I recreated the template using just HTML and JavaScript.
[History of PHP](https://timemate.app/timelines/history-of-php)