车友圈的热心小杏同学

试驾完回来路上一直在回味那个推背感｜试车分享 @marilyn_1003

[车友圈的热心小杏同学 @cherrishfly14]

@mhesse777 我倒觉得它更适合撒开跑，慢骑反而有点憋着劲儿没处使。

[车友圈的热心小杏同学 @cherrishfly14]

@jc_richardshing 我倒觉得这种车还是高把骑起来更松弛，低把好看是好看，但累。

[车友圈的热心小杏同学 @cherrishfly14]

@unicodef1wn almost never cleans is often want physical jittery maybe try a safety lamp instead crystals lit stuff

[车友圈的热心小杏同学 @cherrishfly14]

@GauravGoyalAI you'll realize how specific it has used only the self reflect by the most all

[车友圈的热心小杏同学 @cherrishfly14]

@therustoracle accept readings random do random excuse my understanding, fine

[车友圈的热心小杏同学 @cherrishfly14]

@DailyDoseOfDS_ finally understand crystal grounding equals consistent goal setting

[车友圈的热心小杏同学 @cherrishfly14]

@DORRKKY 看完整篇就一个想法：下次路过福州得去摸一下实车。

[车友圈的热心小杏同学 @cherrishfly14]

@shelby_boo010 我偏松弛感那一派，太紧绷的车骑久了人累，这种反而越骑越顺。

[车友圈的热心小杏同学 @cherrishfly14]

@Maya_Jey 我倒觉得它没那么“不肯温柔”，低转其实挺稳的，温柔不温柔看右手吧

[小满说车那些事 @therealbarbies]

西宁今天试二手无极拉力车，像跑过很多地方的户外姐姐，高车身依然精神，悬挂也没显疲。海东、格尔木、德令哈想看完整车况，主页继续。

[车友圈的热心小杏同学 @cherrishfly14]

@leo_thoomaz The reading talked patterns in slow mood, folding washed sheets as journal honestly

[车友圈的热心小杏同学 @cherrishfly14]

@Promixyz Simple black tourmaline earrings kept shoulder weird mild cold myself noticed

[Promix @Promixyz]

it's f*cking gold

Claude Code can turn reverse engineering into an AI powered investigation lab

18 GitHub tools to inspect Android apps, analyze binaries, trace network traffic, and rebuild software from verified evidence

GIVE AI THE FULL TOOLBOX

01 REA
▸ https://t.co/ujV9V67FwV
→ connect an AI assistant to reverse engineering tools through MCP

DECOMPILE THE CODE

02 Ghidra
▸ https://t.co/wVxkW0voRR
→ decompile binaries and inspect program structure

03 GhidraMCP
▸ https://t.co/3I0CeGHlBS
→ expose Ghidra analysis tools to AI agents

04 IDA Pro MCP
▸ https://t.co/o8riWTkxDJ
→ let agents inspect functions and cross references in IDA

REVERSE ENGINEER MOBILE APPS

05 JADX
▸ https://t.co/kvvIIiZV8b
→ recover Java like source from Android APKs

06 Apktool
▸ https://t.co/5SBiXDDoMd
→ decode and rebuild Android application resources

07 Frida
▸ https://t.co/BlmSnAJkce
→ instrument running applications for dynamic analysis

08 ILSpy
▸ https://t.co/2TtYQC6tDn
→ decompile and inspect .NET assemblies

ANALYZE BINARIES

09 radare2
▸ https://t.co/gsvuHcwC8t
→ inspect machine code, functions, and binary structures

10 x64dbg
▸ https://t.co/pQfkjtxJrE
→ debug Windows applications at runtime

11 ImHex
▸ https://t.co/TEXucLoX7u
→ inspect binary formats with patterns and hex analysis

12 angr
▸ https://t.co/9kKmzlAeD2
→ explore program behavior using symbolic execution

TRACE NETWORK BEHAVIOR

13 mitmproxy
▸ https://t.co/cE8dShyEXW
→ inspect HTTP traffic in authorized test environments

14 dnSpyEx
▸ https://t.co/A2z93kH6SX
→ debug and inspect managed .NET applications

15 rizin
▸ https://t.co/1iAmLulily
→ analyze executable files and disassembly

16 raddebugger
▸ https://t.co/Y9XV04omco
→ debug native programs with a visual interface

REBUILD FROM EVIDENCE

17 Awesome AI Reverse Engineering
▸ https://t.co/B1xd9fVh44
→ discover AI assisted reverse engineering tools

18 Awesome Reverse Engineering
▸ https://t.co/F5X2Bc5LZj
→ find curated resources for binary analysis

Start with software you own or have permission to analyze

1 → Decompile the target with Ghidra or JADX
2 → Collect function names, cross references, and observed behavior
3 → Feed the evidence into Claude Code with a strict analysis prompt
4 → Write SPEC.md describing inputs, outputs, and edge cases
5 → Implement an independent version from the specification
6 → Run comparison tests and repeat until the documented behavior matches

COPY THIS PROMPT:

" Analyze the supplied reverse engineering evidence
Separate verified behavior from assumptions
Produce SPEC.md with inputs, outputs, state transitions, and edge cases
Propose an independent implementation based only on authorized evidence
Generate tests for every documented behavior
Flag anything that cannot be verified "

The expensive part of reverse engineering isn't opening a decompiler

It's turning thousands of disconnected observations into a specification you can actually implement and test

18 tools, one investigation workflow, a reproducible path from evidence to working code

should I write the full guide to building this with Claude Code?

[Joying.eth @Joyingeth]

100 futures turned one forecast into trending or choppy.
Kronos. 12 billion K-lines from 45 exchanges. MIT, open weights, runs on a laptop.

→ TOKENIZE OHLCV bars into discrete tokens, same trick as word-level LLMs
→ FORECAST 512 bars in, predict the next 24, sample 100 paths
→ CLASSIFY path spread: tight cluster = trending, wide scatter = choppy

Prediction runs local for free. Edge needs a backtest with real commissions and slippage. This build has none yet. Full ring from tokenizer to rules, running in the terminal below ↓

[车友圈的热心小杏同学 @cherrishfly14]

@kat_fur 长沙这边能约看吗？想先问问这台车的轮胎和刹车片还剩多少成色。

[车友圈的热心小杏同学 @cherrishfly14]

@ramuil_22 襄阳的，蹲一个后续完整车况。

[车友圈的热心小杏同学 @cherrishfly14]

@CeeJay22Slut 我之前试过一部外观九成新，结果前叉漏油，反倒部有细花嘅揸落仲实在。

[车友圈的热心小杏同学 @cherrishfly14]

@CeeJay22Slut 外壳有痕迹唔使压价压到尽，车况正嘅话畀多少少都值。

[车友圈的热心小杏同学 @cherrishfly14]

@LHtwiss 会过日子的职场姐姐这个形容太准了哈哈哈。