cjzdaily
04:18 · Jun 24, 2026 · Wed
https://x.com/bc1qdave/status/2069602529797927150?s=12
X (formerly Twitter)
Dave.𝟎𝐱U (@bc1qDave) on X
重构我的交易体系
15:42 · Jun 23, 2026 · Tue
https://x.com/durektor97/status/2069375683462115358?s=12
X (formerly Twitter)
Durektor97 (@Durektor97) on X
How to Build a Claude Agent You Can Actually Trust in Production
15:28 · Jun 23, 2026 · Tue
https://x.com/rohonchain/status/2069056530960490835?s=12
X (formerly Twitter)
Roan (@RohOnChain) on X
How To Use Loop Engineering To Build A Self-Improving Quant Trading System
15:28 · Jun 23, 2026 · Tue
https://x.com/ritonchain/status/2068993401815761270?s=12
X (formerly Twitter)
venus (@RitOnchain) on X
How Jim Simon's RL Engine Cuts Execution Costs by 47% (The Exact DQN Framework)
04:02 · Jun 23, 2026 · Tue
https://x.com/sujingshen/status/2069268087442960386?s=12
X (formerly Twitter)
SagaSu (@sujingshen) on X
自学系列:第二篇:钻进 Harness 的内部——工具、权限、内存与生命周期
18:44 · Jun 22, 2026 · Mon
https://x.com/theahmadosman/status/2058745340895870985?s=12
X (formerly Twitter)
Ahmad (@TheAhmadOsman) on X
Step-By-Step LLM Engineering Projects (2026 Edition)
15:47 · Jun 22, 2026 · Mon
https://x.com/nitroogfx/status/2064291280394334289?s=12
X (formerly Twitter)
Nitro (@NitroOGFX) on X
How to Match a Market-Making Bot to Market Conditions on Tread.fi
15:37 · Jun 22, 2026 · Mon
https://x.com/rohonchain/status/2069056530960490835?s=12
X (formerly Twitter)
Roan (@RohOnChain) on X
How To Use Loop Engineering To Build A Self-Improving Quant Trading System
13:06 · Jun 22, 2026 · Mon
https://x.com/xiaogaifun/status/2069014055579509117?s=12
X (formerly Twitter)
小盖 (@xiaogaifun) on X
简直就是教科书级别的 AI 设计规范。
12:11 · Jun 22, 2026 · Mon
https://x.com/adrianpunk115/status/2068947825120223659?s=12
X (formerly Twitter)
Adrian Punk (@AdrianPunk115) on X
Loop Engineering从 0 到 1 小白完整教程
19:16 · Jun 21, 2026 · Sun
https://x.com/saboo_shubham_/status/2068730090457006588?s=12
X (formerly Twitter)
Shubham Saboo (@Saboo_Shubham_) on X
Loop Engineering for Product Managers
18:59 · Jun 21, 2026 · Sun
https://x.com/stanleysobest/status/2068518927744041369?s=12
X (formerly Twitter)
Stanley (@Stanleysobest) on X
Cadence + Gate + Feedback + Memory 这套框架特别实用
18:13 · Jun 21, 2026 · Sun
https://x.com/ruujss/status/2066545926467174765?s=12
X (formerly Twitter)
Ruuj (@RuujSs) on X
How To Build a Pairs Trading System That Actually Works (Complete Framework)
18:56 · Jun 20, 2026 · Sat
https://x.com/ruujss/status/2066545926467174765?s=12
X (formerly Twitter)
Ruuj (@RuujSs) on X
How To Build a Pairs Trading System That Actually Works (Complete Framework)
17:18 · Jun 20, 2026 · Sat
https://x.com/yaojingang/status/2067502677958050163?s=12
X (formerly Twitter)
姚金刚 (@yaojingang) on X
终于完成了对元Skill(创建skill的skill)的2.0升级
已推送到GitHub
这两天又进行了一些微调和测试,欢迎体验
相关资源与文档分享:
1、元skill仓库:https://t.co/N5kTvHNuoZ
2、2.0升级方案:https://t.co/eonb2vuPvd
3、2.0与1.0的对比报告:https://t.co/DtvbnmmLEE
16:51 · Jun 20, 2026 · Sat
https://x.com/jasonzhou1993/status/2067937943545897143?s=12
X (formerly Twitter)
Jason Zhou (@jasonzhou1993) on X
wtf is Loop Engineer & how to setup for real
18:14 · Jun 19, 2026 · Fri
https://x.com/matthewberman/status/2067682870009925736?s=12
X (formerly Twitter)
Matthew Berman (@MatthewBerman) on X
Just launched Loop Library - a curated list of agent loops you can use right now.
Find loops, submit your own, tokenmaxx!!
https://t.co/7bVzOyZMrt
12:58 · Jun 18, 2026 · Thu
https://x.com/ruujss/status/2066545926467174765?s=12
X (formerly Twitter)
Ruuj (@RuujSs) on X
How To Build a Pairs Trading System That Actually Works (Complete Framework)
05:05 · Jun 14, 2026 · Sun
https://x.com/omarsar0/status/2065881740095246552?s=12
X (formerly Twitter)
elvis (@omarsar0) on X
Notes on the recent session we had related to autonomous long-running coding agents.
(bookmark it)
Topics: /goal, loop engineering, verifiers, dynamic workflows, and much more.
So much to unpack, so I tried to quickly summarize the most relevant parts…
05:05 · Jun 14, 2026 · Sun
https://x.com/jayagup10/status/2003525933534179480?s=12
X (formerly Twitter)
Jaya Gupta (@JayaGup10) on X
AI’s trillion-dollar opportunity: Context graphs
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