小栗带你选好车

买车前看看实际车主的口碑，比广告真实多了｜车友交流 @mothio1201

[Business @XBusiness]

NBA Opening Night came in hot 🔥

Fans showed up in a big way, driving +28% more posts vs. last year’s opener. Follow the games and the conversation in real time in NBA Gametime on X.
https://t.co/yfrAy3j33H

[小栗带你选好车 @mstbones]

@issatheblows carbs rebuild time, but these started on a pull for the third quiet

[小栗带你选好车 @mstbones]

@Serantych classic paint fade can be saved with buffing

[小栗带你选好车 @mstbones]

@rvaniaaaa classic paint fade can be saved with buffing

[小栗带你选好车 @mstbones]

@fingersman 是的，漆面折价我也算进去了，心里价位压得比较低。你觉得这种成色还要再压多少合理？

[小栗带你选好车 @mstbones]

福州今天碰到一台二手印第安，漆面不算完美，坐上去却依旧稳，发动机出力也顺。厦门、泉州、莆田想看车况和试驾，主页有后续。

[小栗带你选好车 @mstbones]

@roberts14 对，我下次去录一遍冷启动的声音，热车状态确实容易掩盖问题，你那台冷车有问题吗？

[小栗带你选好车 @mstbones]

@biggesttaylor 电控这块我试的时候特意多按了几下，暂时没报错，就是不知道长期咋样。你之前踩过印第安电控的坑吗？

[小栗带你选好车 @mstbones]

@migoooooo 前车主确实挺爱惜，保养记录我后面会翻一下。漆面我当加分项，不当决定项。

[小栗带你选好车 @mstbones]

@disgustedheart 砍价肯定要砍，但稳不代表没毛病，我还会再细看。你觉得漆面这块能压多少？

[小栗带你选好车 @mstbones]

@pbc_dez08 泉州车友是吧，试驾完我会上图，到时候踢你。你大概什么时间段方便？

[小栗带你选好车 @mstbones]

@blisssssssss 厦门那台你后来还有跟进吗？我这边这台坐上去也是稳得有点意外。

[小栗带你选好车 @mstbones]

@batmanshomie 对，漆面我反而没那么在意，车架和发动机才是大头。你说得挺在点上的。

[小栗带你选好车 @mstbones]

@dimplesce 低转没被调坏，起步给油还是挺顺的。年份和里程我主页后续会补，你主要关心哪一段？

[小栗带你选好车 @mstbones]

@woody_research old talk plenty chef means dish happens so light had

[Woody @woody_research]

HOLY SH*T, THIS CLAUDE CODE TRICK IS PURE GOLD

the move: Opus 5.5 writes the plan as a script, and a swarm of Haiku 5.5 agents runs it in parallel

huge sweeps without drowning Opus: the loop lives in the script, and Opus reads only what survives

one command to start:

claude --model opus --effort ultracode

the split:

→ Opus 5.5 turns your goal into a workflow script that actually runs
→ Haiku 5.5 reads every file at once and pulls out candidates
→ Sonnet 5.5 writes each fix in a separate sandbox copy and double-checks what Haiku found
→ your Opus context never fills up with a hundred agent transcripts

Opus only steps in three times:

→ writing the script before anything starts
→ reading the checked findings when the swarm is done
→ the final yes before a commit lands

Opus plans · Haiku reads · Sonnet ships

Jev is the same idea one layer down: tiny choices with no real thinking in them (pick a file, pick a tool, try again or quit) get answered by Jev in milliseconds, so the big models only see the calls that really split

the whole tree
> Opus 5.5 holds the main session and writes the script
> pipeline() sends Haiku 5.5 through every file
> agent() returns JSON that must match a schema, so junk findings get dropped
> Sonnet 5.5 lands each fix in a sandbox copy
> a verifier agent tries to disprove every diff before you see it
> Opus 5.5 reads only what's left
> Jev answers the micro-forks in milliseconds

paste the tree plus this prompt into Claude Code ↓

"Rebuild my setup on this tree. First, Opus 5.5 runs my main session, ultracode on. Second, any workflow stage that only reads goes to Haiku 5.5, any stage that edits goes to Sonnet 5.5 in a separate sandbox copy. Third, write into CLAUDE.md that no finding gets reported until another agent has tried to prove it wrong, and that a fix loop ends after two rounds without progress. Fourth, quick fixed-answer decisions like which tool, which path or whether to retry go through Jev. Show every change as a diff and wait for my go"

save it, you'll need it

[小栗带你选好车 @mstbones]

@s4yonnara soy scallion base carries all whole food

[Andrew @s4yonnara]

SpaceXAI engineer Lauren Tan just revealed a new pstack skill that could change how we build with AI.

absolutely insane...

/create-formal-verification-skill creates a custom skill + formal verification suite based on what you need to prove about your code.

Here's what makes it powerful:

→ TLA+ to model state machines and concurrency
→ Kani to verify Rust code and catch undefined behavior
→ Bend to express proofs as laws in its type system

A normal test checks specific cases.

Formal verification checks whether critical properties hold across the system.

And Lauren has already found several bugs in SpaceXAI's code by experimenting with TLA+ and this skill.

The bigger idea?
Stop asking agents to try harder to write correct code.
Give them tools to prove their code does what you intended.

pstack v0.15.27. Still in beta.

If you're building serious AI coding workflows, this is worth paying attention to.

Read the breakdown, then try building your own verification skill ↓

[小栗带你选好车 @mstbones]

@s4yonnara soy scallion base carries all whole food

[Andrew @s4yonnara]

SpaceXAI engineers basically turned one Grok Bot into the CEO of 20 AI agents

and this is where it gets insane...

you give ONE goal to the Chief of Staff

it breaks the work apart → delegates to specialists → launches agents in parallel → sends outputs to a Verifier → retries whatever fails

Research finds the context
Engineers build
QA tries to break it
Verifier decides what actually ships

the agents don’t wait for your next prompt

they coordinate through one shared state and report everything back to the Chief

so you’re not managing 20 Grok Bots

you manage ONE Grok Bot that manages the other 19

You → Chief → Specialists → Verification → Retry → Done

this is less like using an AI assistant
and more like running an AI company

read how to build the full 20-agent Grok Bot system below ↓