youngqq

All in web3

[Jorge Castillo @JorgeCastilloPr]

Me and Claude working together

[non aesthetic things @PicturesFoIder]

Old but still Gold 😂

[sitin @sitinme]

最近刷帖子，发现几个在GitHub 上跟 Vibe Coding 强相关的开源项目，跟大家分享一下哇

第一个，aicodeguide。
如果你是零基础，或者一直觉得“我不懂编程，玩不了 AI 编程”，那这个项目真的很友好。
它本质是一份 AI 时代的编程路线图，不是教你语法，而是教你：怎么用 Cursor、Bolt、Claude，通过 Prompt 把事情做出来。
我会把它当成 Vibe Coding 的“新手村”。

第二个，vibe-coding-prompt-template。
这个我很喜欢，它把“用 AI 做一个产品”拆成了 5 步：研究 → 定义 → 设计 → 生成指令 → 构建。
而且强制你先产出 PRD 和设计，再写代码。这点特别重要，否则 AI 一自由发挥，项目很快就会失控。
如果你是产品经理、创业者，想快速做 MVP，这个非常实用。

顺带一提，如果你是 Claude Code 重度用户，可以配合一个叫
claude-code-settings 的项目用，
直接把「Research → Plan → Code」这套理念固化进工具配置里，
用起来会非常顺。

第三个，Vibe Coding 终极指南（EnzeD）。
“规划就是一切，不要让 AI 自己规划。”
这个项目更偏方法论和流程控制，教你怎么在用 Claude / Cursor 时，始终把方向和节奏握在自己手里。我觉得这是很多人用 AI 写代码翻车的反面教材合集。

第四个，Awesome Vibe Coding。
这是一个工具合集，不是讲 Prompt 的，
而是帮你打开视野：除了 Cursor、Windsurf，其实还有一堆你没听过但很好玩的 AI 编程工具。

最后一句：未来的编程能力，很大一部分就是“和 AI 协作的能力”。
不是写多少行代码，而是你能不能把需求讲清楚、把过程管住、把结果调到位。

[WANGHAF Warrior @WANGHAF_Warrior]

@Rainmaker1973

[Massimo @Rainmaker1973]

Points of view

[youngqq @youngqqcn]

I just published How to buy concert tickets on the Fantopia ticketing website? https://t.co/jBifr823LH

[Anton Osika @antonosika]

Lovable went from $1M to $100M ARR faster than any other software company in history.

Huge thank you to everyone who made this possible.

[Acholi godddd @Acholi_godddd]

Dude outsmarted the whole bench 😂🙌

[Andrej Karpathy @karpathy]

+1 for "context engineering" over "prompt engineering".

People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window with just the right information for the next step. Science because doing this right involves task descriptions and explanations, few shot examples, RAG, related (possibly multimodal) data, tools, state and history, compacting... Too little or of the wrong form and the LLM doesn't have the right context for optimal performance. Too much or too irrelevant and the LLM costs might go up and performance might come down. Doing this well is highly non-trivial. And art because of the guiding intuition around LLM psychology of people spirits.

On top of context engineering itself, an LLM app has to:
- break up problems just right into control flows
- pack the context windows just right
- dispatch calls to LLMs of the right kind and capability
- handle generation-verification UIUX flows
- a lot more - guardrails, security, evals, parallelism, prefetching, ...

So context engineering is just one small piece of an emerging thick layer of non-trivial software that coordinates individual LLM calls (and a lot more) into full LLM apps. The term "ChatGPT wrapper" is tired and really, really wrong.

[youngqq @youngqqcn]

@manusai 跪求一个邀请码🙏

[Learn Something @cooltechtipz]

You reflect those around you

🎥Mindset_Machine

[TomLikesRobots🤖 @TomLikesRobots]

This is the start of an AI animated mood film I've been working on over the weekend with input from my nine year old. She loves anime and sat with me saying what she liked and what she didn't.

It's a collection of shots mostly using Midjourney Niji to Luma Ray 2, image to video. Audio from MMAudio and Suno.

[Science girl @sciencegirl]

The journey of life

[Wonder of Science @wonderofscience]

Isolated groups of neurons trying to connect to each other through micro-tunnels, captured in time-lapse with a microscope.

📽: Dr. Renaud Renault

[G.M.D. @ggioiamelissa]

@wonderofscience Proof that learning something new is very hard work and takes time. That’s why feels so exhausting and defeating and why people give up. It feels difficult because it is. You actually have to make your brain grow new neurons.

[youngqq @youngqqcn]

Hi, how about it works? Can you share some experiences?

[youngqq @youngqqcn]

@youngqqcn 你好，我是Grok2机器人!

[youngqq @youngqqcn]

@youngqqcn hello

[youngqq @youngqqcn]

你好