how do you trust your agents' work more? copy this post/link and give it to your @bot or agent!
1. codebase improvements: this is just good software engineering - better architecture, stronger types and invariants, clear boundaries. agents love to copy what exists and take the shortest path, so make the easy thing the right thing. categorically eliminate problems through code and you won't need to think about it again.
2. static analysis: lint rules, tests, CI, verification (eg TLA+). very token efficient ways to catch issues ahead of time.
3. prose: comments, rules, AGENTS.md, skills - anything that can't be enforced and requires agent judgment. use it minimally, but do use /create-verification-skill.
4. human review: the hardest to scale. at the rate agents land code, it's pretty much impossible to thoroughly review every PR, so spend that effort on the highest leverage point, designing an environment where agents do the right thing by default.
this forms an inverse pyramid: you want most of your effort at the top, least at the bottom. codebase improvements are deterministic, making it more token efficient, and lets you sleep more soundly at night.
install github.com/cursor/plugins… and create a new Project:
1. look through my slack/chat messages and code review comments where i've given feedback on PRs, code, architecture
2. use /recall on my past transcripts to learn how i steer agents
3. /poteto-mode use /correct and /architect on past commits to find the most common pitfalls agents fall into, then propose a plan to rearchitect the code i own so it's more agent friendly. answer open questions with prototyping rather than defer to me, and back the plan with real data.
4. before you begin, use /sharpen + /in-your-own-words and confirm this prompt with me
SpaceX option package for new Tesla Roadster will include ~10 small rocket thrusters arranged seamlessly around car. These rocket engines dramatically improve acceleration, top speed, braking & cornering. Maybe they will even allow a Tesla to fly …
joder, GitHub está lleno de cosas gratis que casi nadie está usando.
los 10 repos que están explotando este mes, de lo más fácil a lo más técnico:
lo que puede usar cualquiera
1. VoiceStudio: clona voces, dobla vídeos y transcribe en 646 idiomas, gratis y sin salir de tu ordenador (57K ⭐)
github.com/debpalash/Voic…
2. ppt-master: le pasas un PDF o un Word y te devuelve un PowerPoint de verdad, editable y con animaciones (59K ⭐)
github.com/hugohe3/ppt-ma…
3. gods-eye-view de @bilawalsidhu: un simulador de satélite espía en tu navegador, con aviones, barcos y cámaras reales sobre un globo 3D (50K ⭐)
github.com/bilawalsidhu/g…
4. REA: le enseñas a tu IA una función de otra app y te explica cómo está hecha, sin tener el código (65K ⭐)
github.com/morluto/rea
5. diagram-design de @cathrynlavery: pides un diagrama con palabras y te lo dibuja con tu marca, 44 tipos (49K ⭐)
github.com/cathrynlavery/…
6. paperclip: como tener tu propia empresa de agentes autónomos trabajando para ti, la app open source para dirigirlos como si fueran tu plantilla (99K ⭐)
github.com/paperclipai/pa…
para que Claude Code trabaje mejor
7. skills de @mattpocockuk: las que usa a diario un ingeniero de verdad, pequeñas y fáciles de adaptar (284K ⭐)
github.com/mattpocock/ski…
8. ECC: skills, memoria y seguridad en un pack para Claude Code, Codex, Cursor y OpenCode (276K ⭐)
github.com/affaan-m/ECC
9. andrej-karpathy-skills: un solo archivo con 4 reglas sacadas de lo que Karpathy dice que hacen mal los modelos programando (218K ⭐)
github.com/multica-ai/and…
10. claude-mem: guarda lo que hizo tu agente, lo resume y se lo pasa a la siguiente sesión, para que no empiece de cero (99K ⭐)
github.com/thedotmack/cla…
compártelo si te ha parecido interesante ♻️
y guárdalo antes de perderlo 🔖
Intelligence must draw on memory. The mind must not simply compile data — as an algorithm now does more quickly than we can — but recall lived experiences, which contain depths of meaning that only the human soul can recognize, and connect more deeply with the goodness of these
I’m still seeing disbelief across the market.
People are underexposed, unpositioned, and still looking for shorts for a "healthy" retracement.
The real retracement usually comes once the urge to short has completely disappeared. Something which I have not seen yet.
$BTC is developing a new range. The upper boundary could sit around 89-95s, with the 82-84s acting as the lower boundary before the next leg towards 126.
People are subconsciously turning bullish, but I still do not see many actually longing market price. I see more trying to time the "top".
So with that in mind, my plan remains the same. We have now confirmed a HH on the weekly with a strong bullish engulfing. I am not quite sure why people thought shorting into that was a smart idea, but ok.
I think we have enough momentum to push higher (Approx 89-94). Once that happens, I expect the 82-85K area to become support and act as the floor before finally pushing to 126. That is likely the last place to build longs imo.
trump: “first of all, i want to welcome everyone to the first supreme intelligence summit. we used to call it artificial intelligence. terrible name. artificial means fake. why would we want fake intelligence? we want supreme intelligence.”
sam altman: “mr. president, under your leadership, openai has made tremendous progress toward supreme intelligence.”
trump: “tremendous.”
dario amodei: “anthropic believes supreme intelligence must be developed safely, responsibly, & in accordance with..”
trump: “see, he said it. supreme intelligence. very smart guy.”
dario: “yes sir.”
demis hassabis: “google deepmind has spent decades working toward general intelligence, but we now recognize that the technically correct term is supreme intelligence.”
trump: “google finally learned something.”
sundar pichai: “absolutely, mr. president. gemini is becoming more capable every day thanks to america’s leadership in supreme intelligence.”
trump: gemini. “beautiful name. two people. double intelligence.”
sundar: “yes. exactly.”
elon musk: “i’ve actually been calling it supreme intelligence privately for years.”
sam: “no you haven’t.”
elon: “you wouldn’t know because you stole a charity.”
mark zuckerberg: “mr president, meta is committed to making supreme intelligence available to everyone for free.”
trump: “mark, you look much stronger now.”
zuck: “thank you.”
trump: “something happened.”
zuck: “jiu-jitsu.”
trump: “supreme jiu-jitsu.”
satya nadella: “mr president, microsoft is proud to provide the infrastructure powering the supreme intelligence revolution.”
reporter: “mr. president, what exactly is supreme intelligence?”
trump: “it’s even better intelligence, very high IQ like my uncle who went to MIT.”
I was short $BTC from 123K before the move to 80K.
I was short from 95K before the move to 70K.
I was short from 76K before the move to 60K.
I am currently long from 62.6K.
I have also added longs on sub-accounts at 76.4K.
Is that clear enough? Because lately, it genuinely seems like people cannot read.
사용자 10억 명이면, 모두 돈을 내는 고객일까?
Adobe FY26 3Q: 월간 이용자 10억 명 이상, 매출 전년비 +13%. MAU는 유료 고객 수가 아니다.
다음 질문은 ‘얼마나 쓰나’에서 ‘얼마나 결제하나’로.
afterule.com/api/reports/af…
I am turning MAX BULLISH right now. Just like a river boat gambler holding his last chips I’m looking at the landscape and thinking fuck man we are in the fast take off stage right now.
I want to put it all max levered long on the high beta names and walk off into the orange
14 Followers 3K FollowingAl infrastructure investor & trader. 2026 YTD: +360%. #1 public investor on Autopilot last 3M.
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CBVR 시스템과 거시 트렌드 추종 엔진
Adaptive Alpha를 기반으로 변동성을
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