A frontend developer leveraged AI tools to successfully build an image annotation feature within a single day. Users can directly mark locations on images and guide AI to precisely modify specified areas through prompts. The development process relied on ChatGPT for feasibility research, Claude for coding, and Cursor for debugging bugs, showcasing the powerful capabilities of AI-empowered development. This breakthrough feature not only lowers technical barriers but also enhances user interaction efficiency, solving pain points in AI image editing. Users no longer need to repeatedly describe locations – they can simply mark them directly. The author emphasizes that AI handles production and acceleration, while humans provide direction and judgment. Welcome to experience the product at nanobanana.co and explore the superiority of ‘marking + prompt’ interaction.
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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。
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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。
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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。