5 Reasons Convex Beats Supabase for AI App Development
Nearly every AI coding tutorial points you in the same direction: use Supabase. For a long time, that was the prevailing wisdom. Apps were built with it, and courses taught...
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Nearly every AI coding tutorial points you in the same direction: use Supabase. For a long time, that was the prevailing wisdom. Apps were built with it, and courses taught...
Welcome to a new series where we explore AI tools that can significantly enhance your development workflow. In this article, we’re diving into a platform that I’m confident will solve...
This article provides a first look at Anti-Gravity, a brand new product by Google DeepMind built for developers. It combines the best of all worlds, functioning as an editor, an...
We all love vibe coding. You throw an idea at an AI, and it spits out code. It’s magical. Except, after 30 minutes, the AI forgets what you initially said....
Everyone is yelling about AI replacing us. The news proclaims that anyone can be a coder now. It’s a compelling narrative. But let’s look at the reality. AI is pumping...
There’s a powerful trick that many are overlooking with AI image generators. It marks the difference between receiving random, pretty pictures and obtaining exactly what you need, every single time....
We believe we’re on a faster way to AGI. This is a journey into a new paradigm, one where AI is not static but alive, constantly learning and adapting. At...
If you have been anywhere near the Claude Code community lately, you have probably seen people talking about autonomous AI loops. This means running an AI agent for hours, not...
这已是板上钉钉的事实。我们一直以来心知肚明的事情,终究还是发生了:使用 AI 编码会让你在编码方面变得更差。 Anthropic 公司最近完成了一项里程碑式的试验,他们让两组程序员进行对决,一组使用 AI,另一组则不使用。结果发现,使用 AI 的那组在各项评分上平均低了 17%。 技术进步的代价 我并非要说这是一件坏事。我认为,自人类文明诞生以来,我们一直在使用技术来提升做事的能力,而代价就是核心技能的退化。想想狩猎、采集、缝纫、捕鱼或耕作。感谢那些仍在从事这些工作以维持我们生存的人们。 我之所以撰写本文,是因为我身边有些人认为,编程与众不同,它属于一个特殊的类别。然而,事实并非如此。这项研究明确表明,AI 就像《毁灭战士》中的主角,而我们的编码技能则是待宰的恶魔。 此外,尽管 Anthropic 没有对写作或思考等其他技能进行全面研究,但我相信,只有迟钝的人才不会意识到,这种情况正在各行各业上演。 Anthropic 的里程碑式试验 那么,Anthropic 究竟做了什么?他们研究了软件开发者在有和没有 AI 辅助的情况下,学习一个新 Python 库的速度,以及使用 AI 是否会让他们更难理解自己刚刚编写的代码。 研究发现,使用 AI 辅助会导致他们所谓的“掌握程度”出现统计学上的显著下降。在一项涵盖了他们刚刚使用过的概念的测验中,AI 组的参与者得分比那些完全手动编码的人低了...