This article details the complete process of developing an automated script for claiming free assets on Fab using multiple AI models. The author started with Google Antigravity and VSCode’s Chrome DevTools MCP but encountered Cloudflare protection barriers. Subsequently, with Copilot’s help, GPT-5.2 Codex was used to write a DOM manipulation script, which faced element selection challenges. Next, Claude 4.5 Opus was tasked with writing a hybrid script based on network requests, but it still missed some assets. Finally, Gemini 3 Pro provided an optimized solution that successfully achieved automation. The script was converted into a Tampermonkey plugin, adding a visual UI, error logging, and internationalization support. The article also reflects on the limitations of AI-assisted development, emphasizing that the choice of technical approach without proper context can affect project maintainability. This practical case study demonstrates the real-world applications and challenges of AI tools in development, offering valuable insights for developers.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。