小柚的聊车小故事

车窗一键升降带防夹功能，有孩子的家庭更安心｜用车体验 @mothio1201

[小暖的聊车分享站 @dragonoid16]

呼和浩特这台MV Agusta仿赛像冷艳女神穿上高定礼服，线条精致，真正拉转以后却一点都不柔弱。包头、鄂尔多斯、赤峰想看动态表现，主页继续。

[小柚的聊车小故事 @hhhhhhhhhjj]

@yourretarded 米色还是最耐看，看久了不腻，纯白反而容易撞款。你多发几张不同光线的呗。

[小莓说车日记 @unique_sunshine]

福州今天骑皇家恩菲尔德复古车，像温柔大学老师，慢、稳、耐看，不催你把生活过得太急。厦门、泉州、莆田想看完整试骑，主页有后续。

[小柚的聊车小故事 @hhhhhhhhhjj]

@itsmikeer 这句“不急着把全部性格告诉你”形容得太准了哈哈哈

[小柚的聊车小故事 @hhhhhhhhhjj]

线条越简单越考验做工，这点照片里算是拍出来了

[小太阳聊车快乐多 @freshakid]

南京这台胡斯瓦纳复古车像冷淡系艺术老师，线条简洁，姿态清冷，骑起来却比外表亲近。苏州、无锡、常州想看完整体验，主页继续。

[NEW YORK KNICKS @nyknicks]

8 straight for 8 🪣

KAT with the absolute dime 🪙

[小柚的聊车小故事 @hhhhhhhhhjj]

@ESPNNBA the footwork in that sequence carried centuries of tradition

[小柚的聊车小故事 @hhhhhhhhhjj]

@PISCESPRADA wire work done right beats any CGI any day of the week

[小柚的聊车小故事 @hhhhhhhhhjj]

@kYEXIAH 补充一句，印第安这种车看车身印记其实是好事，说明真骑过而不是摆着的库存车

[Promix @Promixyz]

Tesla + GPT 6 Astra could turn car design into a f*cking engineering pipeline

Imagine describing a futuristic electric vehicle and watching AI assemble the chassis, install the wheels, construct the body, and run a cinematic flight test

No manually animating every assembly stage

The video explores a wild concept where an electric vehicle is built layer by layer, from an exposed battery platform to a complete aerodynamic body, before lifting off with four glowing thrusters

But the interesting part isn't the flying Tesla

It's how a single programmable 3D system could handle the entire design sequence

Here's how the concept breaks down:

ENGINEER the battery platform and structural chassis
ASSEMBLE suspension, wheels, and mechanical components
INTEGRATE the aerodynamic body and glass surfaces
VALIDATE geometry, clearances, and assembly states
SIMULATE a fictional vertical flight sequence with animated thrusters
Instead of modeling every frame independently, you can generate the components once and control their assembly through code
Want to recreate something similar?
Open Claude Code with Blender installed and paste:
"Create a cinematic Tesla inspired electric vehicle concept using Blender Python

Begin with an exposed battery skateboard chassis, then procedurally assemble the suspension, wheels, body panels, windows, and lighting

Build six distinct animation stages covering engineering, assembly, integration, visual inspection, thruster activation, and vertical flight

Use reusable geometry, realistic metallic materials, controlled camera movement, and cinematic studio lighting

Make each stage parameterized so I can change vehicle proportions, assembly timing, and camera angles without rebuilding the scene

Render a premium vertical 60 FPS animation"

The real opportunity isn't asking AI to invent a flying car

It's turning complex product visualization into a repeatable production workflow

One design system, endless variations

Bookmark this prompt before your next AI engineering experiment

[小柚的聊车小故事 @hhhhhhhhhjj]

@OLeksa_trader one-take fights are the pinnacle of athletic directing

[小柚的聊车小故事 @hhhhhhhhhjj]

南昌加一，我来问个实在的，市区烂路多，前后减震能扛得住每天早上那几条破损路吗？

[车友圈的快乐小云同学 @navra_sit87]

赣州这台KYMCO大踏板像职场轻熟女，车身稳、座椅宽，忙了一天再骑也不累。南昌、吉安、九江想看完整体验，主页有后续。

[小柚的聊车小故事 @hhhhhhhhhjj]

@feb1093 你那句文气说得对，等你的实测油耗来把这个味道补全。

[小柚的聊车小故事 @hhhhhhhhhjj]

@goober1987 大理那站什么时候？想跟着去围观一下实车。

[小柚的聊车小故事 @hhhhhhhhhjj]

@kmoe8004 我基本都是市区跑，偶尔周末溜个近郊，你说的通透我就放心了，改天我也去店里坐坐感受下

[NBA @NBA]

Jordin Canada banks in the shot from the logo to end the 3Q 😱

The Dream lead the Valkyries going into the 4Q in Game 2 of the WNBA Finals on USA Network & Peacock!

[Skunzu @skunzu]

THIS SHOULD BE F*CKING ILLEGAL

9 repos, 465K stars, and Opus 5.5 finally stops burning your money on work it never needed to do.

if Opus 5.5 is eating your budget and you have no idea where it goes, copy this:

claude-code-router: sits in front of Claude Code and sends every request to the cheapest model that can handle it. Haiku does the grep, Opus only gets the hard part. 37k stars

https://t.co/oefgUMbb3b

rtk: shrinks test, build and git output before the model ever sees it. one binary, up to 90% less bash noise in your context. 83k stars

https://t.co/7mMtZ7aBHB

claude-mem: remembers what happened in your past sessions and feeds back only the part that matters, so you stop paying to re-explain your project every morning. 100k stars

https://t.co/GN52B7ntRl

context-mode: huge tool output goes into a local database instead of your context window, and Claude pulls out only the lines it needs. 29k stars

https://t.co/R7x405oKhA

caveman: makes Claude answer in short telegraphic sentences. the code stays exactly the same, and output is the expensive side on Opus 5.5 ($20 per million). 112k stars

https://t.co/2hFkwModTp

ccusage: reads your local Claude Code logs and shows which sessions and which days actually burned the tokens. 19k stars

https://t.co/4LZ35YMWAn

serena: gives Claude symbol-level lookups through a language server, so it reads the one function and not the 2,000 lines around it. 30k stars

https://t.co/jCyDBq5naN

code-review-graph: maps your repo as a graph and hands Claude only the code connected to the change you're reviewing. 32k stars

https://t.co/QeVvNFwdbI

jev-ultrafast: a browser agent where Jev picks every click, and a text model only wakes up when something has to be typed. 23k stars

https://t.co/e87dNU8p6C

none of them makes Opus smarter. every one stops it from paying for work it never needed to do

run ccusage before and after, so you know what you actually saved

[Myttle @xmyttle]

the most dangerous thing about vibe coding is that it works

you describe a feature, the agent writes it, the tests pass, you ship and three weeks later you can't explain how your own app stores a deleted folder

someone built a Claude Code plugin to fix exactly that it's 10 days old and already has 3,176 stars

it's called VibeWise, MIT licensed, and it flips the order:
→ Claude asks for YOUR approach first
→ then it helps you test it against tradeoffs
→ it explains the concepts you haven't met yet
→ YOU decide when the design is ready
→ only then does it write the code, and explain what it changed and why

the example in the README is a Notion-style notes app the question isn't "build it" the question is "what should happen when someone deletes a folder?"

if you point it at an existing repo, it reads the code first and sketches a small system map before it asks you anything

you keep the decisions the agent keeps the typing

install, two commands inside Claude Code:

→ /plugin install vibe-wise@anthropic-plugin-directory → /vibe-wise:learn

needs Python 3, no extra packages setup asks one question at a time, or pick "Use defaults"

[the part people will miss: it isn't slower coding, it's coding you can still maintain next month]

link in the first reply, bookmark this before your next "build me an app" prompt ↓