devfun背后的叙事是是过去一年来Solana的主线 1. vibecoding：用AI编程 2. tokenisation：Pump发币 3. internet capital markets：最近从@launchcoin出来很火的概念。 “互联网原生创意、应用程序甚至表情包转化为区块链上的可交易资产。简单来说，这意味着任何人都可以为某个概念或项目创建代币，并让世界各地的人们购买和交易。” 其实说白了就是用web3的方式来融资。

Vibe coding on your phone 📱 Cursor 设计负责人 @ryolu_ 展示了手机上使用 Cursor 做 AI Coding 的过程 👏🏻 期待 Cursor 的手机端体验，随时随地 Vibe Coding 😄 https://t.co/P3z2VUbPxi

I never understood vibe coding. Everytime I ask an AI to write any code it produces pure spaghetti slop that I wouldn't even accept from my newbie juniors. Tried all the premium memberships, all the AI's even rotating code between different AI's and asking what it did wrong it just produces garbage. Just tried it again now as someone who can read code and it hasn't really got any better lol

🍄 What can you do with $MARIO? 🍄 More than just hold—this token's got superpower vibes: ⭐️ Buy & mint NFTs ⭐️ Build games–Powered by vibe-coding and PCG ⭐️ Use across partner ecosystems It’s not just a token — it’s your power-up. 🧢⚡️ https://t.co/bJ1QrfYJz9

分析一下https://t.co/IOkTS1QjEU 首先是最重要的，Believe热度能不能持续？ 直接说结论： 不能，即使@believeapp 把发币=发帖的链上原生体验推到极致，短期热度极高，但它的平台长期价值基础依旧取决于能否为 Token 找到合法且可持续的收益锚点。 和 friend. tech、Social Tokens、Pump MEME 热点一样，把它当作一次高波动、短周期的叙事投机更为稳妥。 其次Believe是怎么火起来的很值得思考： -把买代币包装成投资创意+创始人，迎合“互联网资本市场”概念。 -LLM让“vibe coding” 成为潮流，小型 side-project 更易落地，代币被视作对开发者的一点激励。 - $DUPE 、 $BUDDY 、 $FITCOIN 等轻产品宣称迅速获得数十万用户或可观收入 -Solana 基金会背书，这个应该是最关键的火爆原因 但是Believe的热门和热度衰退也证实了几点 1. MEME行情还有余温 2. 对MEME赛道吸血最重的依旧是发币平台 3.注意力集中依旧是fomo的基础

🍄 It’s-a collab of creators! 🍄 mArIo BNB x @DreamCraftAI GameFAI meets Decentralized AI Creativity! ⭐️ DreamCraft: Craft original art with AI—high-res, gentle vibes—swap points for tokens, all fair and square ⭐️ mArIo: AI GameHub, NFT farming, Vibe Coding, & PCG for endless dynamic worlds Our goal: Empower users with fun, fair rewards and boundless creation! Dream it, build it, and own it! 🎨

🧐 AI 叙事回暖 MyShell 上涨的背后逻辑｜Launchpad 发行机制如何点燃链上AI新范式？ 过去一周，AI赛道都在反弹； $SHELL 一周暴涨近58%，不是偶然，是信号。 市场回暖时，最先动的永远是 Narrative 核心—— 而 MyShell，正是 Binance 和 BSC 联手押注的链上 AI 中枢项目。 不是炒概念，不是画饼，是在实打实 build 一个 Agent 生态 + 交易闭环 的基础设施。 现在回头看，$VICO 一周涨 10 倍，就是这场叙事启动的第一声枪响。 市场上大多数“AI币”只是画饼，Myshell @myshell_ai 推出了新平台的玩法，实打实构建链上AI的操作系统—— 1️⃣MyShell 的定位与生态概况—— Myshell 构建的是一套链上AI Agent生态系统，而且已经跑通了： 1）No-code模块化开发框架：普通用户也能快速生成Agent； 2）Shell积分系统 + Launchpad发行机制：打通交易与孵化； 3）流动性扶持计划：为优质Agent Token直接注入官方资金； 4）活跃开发者社群：已有真实的Agent产品在生态中运行 过去Web2的AI项目大多停留在“demo”阶段，而MyShell直接把AI应用的生成、交易、扩散全搬到链上，完成了基础设施闭环。 2️⃣ 为什么最近 $SHELL 涨得这么猛—— 回到开头的讨论，为什么 Shell 涨的这么猛，原因很简单： Narrative复活 + 基础面实打实增长。 Binance和BSC官方明确支持AI方向，MyShell是重点扶持对象，SHELL上线Upbit后流动性进一步打通，外部资金涌入，然后生态第一个孵化项目 $VICO ，市值一周增长10倍，验证了MyShell孵化体系的可行性； 多家DEX合作，支持Launchpad项目交易，流动性深度明显提升，当前正举办三重交易大赛，激励交易、持有、应用行为同步增长； 在链上Narrative重新点燃的早期阶段，能同时满足政策背书 + 生态落地 + 流动性改善的项目，屈指可数。 MyShell正好踩中全部。 2️⃣ $VICO 只是开始，机会在交易大赛—— MyShell最近的Launchpad首发项目 $VICO ，是一个面向开发者的Vibe Coding AI Agent项目，一周内市值上涨近10倍。 这说明了两个重要事实： MyShell孵化机制是真能带动项目爆发的 早期参与Launchpad，有超高Beta收益 MyShell 也顺势发起了为期 3 周的交易大赛（4.28 - 5.17），这场大赛本身就是一次新的机会窗口： 🎯 流动性支持计划（4.28 – 5.10） 表现优异的 Agent Token 可获官方钱包注资，长期保留。 🏆 黄金 Agent 争夺战 从优胜项目中选出“黄金 Token”，快照用户可平分奖励。 📈 交易榜单挑战赛（5.5 – 5.17） 总奖池超 10 万 $SHELL，每轮都有新机会！ 3️⃣结语—— 另外说到开头的讨论， $SHELL 的这轮暴涨并不偶然，而是链上 AI 叙事与 Launchpad 实际落地的共振。 当前正处于 MyShell 生态启动初期： 项目有基本面； 有交易动能； 有平台支持； 有真实开发者参与； Launchpad 发展初期，又是币安如此支持的AI 项目，不跑出来一个金狗银狗的都说不过去，最近大家可以多关注下。

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful! In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment. As coding becomes easier, more people should code, not fewer! Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step. I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively. One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that. When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result. Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do. [Original text: https://t.co/HdI3Jb9HmF ]