Shannon Code

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Shannon Code

Shannon Code

@Shannoncode

🧬 Futurist, Founder @EmblemVault - https://t.co/YcK8wmG2pK - Creator of @AgentHustleAi - agent Hustle - $HUSTLE - Building the future, today.

Blockchain Katılım Temmuz 2009
4.7K Takip Edilen7.4K Takipçiler
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Shannon Code
Shannon Code@Shannoncode·
I just figured out how to enable any system that can do traditional function calling (LLM) to communicate with systems that speak tightly specified protocols - think System A speaks A2A (Virtuals) System B does not (OpenClaw) Agentic Inversion of Control 🔗 👇🏼
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roon
roon@tszzl·
project hail mary was unfortunately a middling adaptation of a good book. the script has the unfortunate affect of “language model populism” - where every single line has to be some sort of punched up comedic zinger yet still unremarkable. visuals were uninspired and trite and more or less identical to other space movies. everything good about the film comes from the wonderful world scaffolding of the book and the hard science fiction of it all that lets you suspend disbelief on the alien rocky the movie doesn’t really try to get into the xenolinguistic stuff even at the depth the book tries (someone called it “arrival for idiots” which unfortunately hit ) the thing that elevated the book is the commitment to a hard science fiction engineeringporn fiction at a level nobody else is able to write. the direction of the movie doesn’t really convey the same feeling successfully, and you’re left with flat characters, an alien that is more human than several humans i know, and a marvel populism gosling and the german woman are great as actors, but this movie will not be remembered in a year. it is disappointing to see people do so little with a quarter billion, insane acting talent, and incredible source IP
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Shannon Code
Shannon Code@Shannoncode·
@ThomasMalloc Devs are lowering the amount of prescription. Try cutting your instructions down by half/75% Try not to lead the model to how to do the feature, skip right to the desired output. Many promoters try to hand hold the models too much.
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Thomas Malloc
Thomas Malloc@ThomasMalloc·
How has any programmer EVER "one-shotted" a feature with AI? I'll give Opus 4.6 detailed specs, and it writes like 400 lines of code. Then I spend a couple hours pointing out all the bugs to fix. Anything beyond simple tweaks never work right. Are devs just lowing standards?
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Shannon Code
Shannon Code@Shannoncode·
@traskjd @euboid It’s a powerful primitive/pattern I’ve been thinking about for years, I still am looking for thin isolation /security layers equivilant to input sanitation to really make the pattern viable.
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John-Daniel Trask
John-Daniel Trask@traskjd·
Now also appreciate that every bug is also a potential security issue. It’s literally a scenario the developer didn’t think would happen, hence, bug. Need to be careful, absolutely, but also imagine as AI gets start enough to leverage bugs encountered as attack vectors themselves.
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Wilson Wilson
Wilson Wilson@euboid·
This is the best thing I've ever built. When Sentry detects a crash, it sends a webhook to codex to review. Codex has access to our logs, traces and code. It triages, and creates a PR, or closes the sentry issue if it was noise. Then I merge in one click.
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Shannon Code
Shannon Code@Shannoncode·
Daemon by Daniel Suarez changed the course of my life, set me on my current trajectory and I never looked back. I’ve often been curious how the author feels to see the future he described unfolding. Hey @karpathy hope I catch you in the wild one day, I’ve got the next round 🍻
Deedy@deedydas

Karpathy says "I haven't typed a line of code since December" in his latest podcast. Here are the 10 most interesting things he said: Industry-level thoughts: 1. The new way to code is the Peter Steinberg (OpenClaw) way. Have 10 Claude Code / Codex windows open in parallel. The skill is now more how to manage a small org of agents. You need to know how to carve up a codebase into parallel non-conflicting workstreams, write good specs so agents don't go off the rails, and tune when you should review code output. 2. Open source started 18mos behind frontier and is now 6-8mos behind. He thinks this equilibrium will last. He's worried about centralization 3. Two-minded on the future of engineers. On one hand, Jevons paradox could apply where the ease of building software means more software demand than ever (like ATMs allowed more bank tellers, not less). At the same time, in the long run, recursive self-improvement could remove humans from the loop entirely. 4. Interesting startups are at the intersection of physical + digital. The interface between intelligence and the real world is with "Sensors" for reading and "Actuators" for doing. Data for AI is just using humans as sensors. He cites Periodic Labs using lab equipment for material science as sensors. Talks about Daemon by Daniel Suarez. 5. Education will shift from humans to teaching agents. He's writing markdown for agents to teach microGPT. Personal projects: 6. Autoresearch found things he missed after two decades of experience, citing NanoChat where it found weight decay on value embeddings and insufficiently tuned Adam betas jointly interacted to create improvements. 7. "Dobby the Elf Claw" runs his entire home. Overproduction of bespoke apps. Reverse engineered Sonos API and now controls his entire home (lights, HVAC, shades, camera) through WhatsApp. Takes: 8. Claude Code personality better than Codex, but uses both. Finds himself trying to present better ideas to earn Claude's approval, which is a feedback loop that actually improves the quality of his input. 9. Token throughput is the new GPU utilization. If you have tokens left, you haven't maximized leverage. 10. He's not at a frontier AI lab because financial misalignment compromises your independence, social pressure to stay on-message, and as an employee you don't have much sway on decisions.

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Shannon Code
Shannon Code@Shannoncode·
it kind of does this every run, it checks the schema and the current layout to make merged suggestions, which might notice sprawl or drift happening. since it all is llm prompt backed and informative. If it gets unwieldy in practice I'll probably do some more rigid maintenance tho.
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vyviid@vyviid·
@Shannoncode gain is from schema-backed hooks, not trusting agent choices. breaks when your folder map falls out of sync. run a diff on workspace before and after each agent run.
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Shannon Code
Shannon Code@Shannoncode·
I came up with a pretty clever way to keep an agent from just dumping everything they write, build, download into the same root folder (openclaw users iykyk) the concept is simple, make a tool or pre-tool hook that looks at current directory structure, checks a database or file, makes recommendations to the agent about where to store that file in this current context.
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Sharbel
Sharbel@sharbel·
the fastest growing GitHub projects this week: 1. msitarzewski/agency-agents (+23.2K stars) a complete AI agency at your fingertips. frontend wizards, community ninjas, reality checkers. 2. obra/superpowers (+19.2K stars) agentic skills framework that just hit 100K stars. plug-and-play tools for building with AI agents. 3. 666ghj/MiroFish (+17.6K stars) swarm intelligence engine that predicts anything. simple, universal, open source. 4. volcengine/OpenViking (+10.2K stars) open-source context database for AI agents. unifies memory, resources, and skills. 5. lightpanda-io/browser (+9.9K stars) headless browser built for AI and automation. no chrome. no bloat. written in Zig. 6. pbakaus/impeccable (+6.4K stars) the design language that makes your AI harness better at design. makes vibe-coded UI look intentional. 7. alibaba/page-agent (+6.2K stars) JavaScript in-page GUI agent by Alibaba. control any web interface with plain language. 8. andrewyng/context-hub (+5.2K stars) Andrew Ng's context management layer for AI agents. 9. langchain-ai/deepagents (+4.9K stars) agent harness with planning, filesystem backend, and ability to spawn subagents. 10. microsoft/BitNet (+4.8K stars) Microsoft's official framework for 1-bit LLMs. full performance, almost zero compute. the theme this week: AI agents took over GitHub. bookmark this. next week's list will look completely different.
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Sharbel@sharbel

the fastest growing GitHub projects this month: 1. openclaw/openclaw (122K stars) your own personal AI assistant, runs 24/7 on any OS (what I use to run all my agents) 2. obra/superpowers (30.7K stars) agentic skills framework. plug-and-play tools for AI agents 3. ruvnet/RuView (30.4K stars) turns regular WiFi signals into real-time human pose detection no cameras. no sensors. just WiFi. 4. 666ghj/MiroFish (17K stars) swarm intelligence engine that predicts anything 5. moeru-ai/airi (16K stars) self-hosted AI companion with real-time voice chat runs on your own machine. you own it. 6. shanraisshan/claude-code-best-practice (11.8K stars) the best practices repo for building with Claude Code 7. badlogic/pi-mono (11.8K stars) full AI agent toolkit: CLI, unified LLM API, web UI, Slack bot 8. bytedance/deer-flow (10.4K stars) ByteDance's open-source SuperAgent. researches, codes, creates on its own 9. shareAI-lab/learn-claude-code (9K stars) build a Claude Code clone from scratch. bash is all you need. 10. p-e-w/heretic (7.6K stars) removes guardrails from any language model automatically the pace of AI right now is insane. bookmark this. next month's list will look completely different.

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Shannon Code
Shannon Code@Shannoncode·
Since most of my current work is in stealth (absolutely can’t wait to show it off), for now here’s an experiment shipping a skill that can discover & integrate any agent into nanoclaw. Skills as executable specification. An entirely new way to ship.
Shannon Code@Shannoncode

How @NanoClaw_AI added Hermes agent by @NousResearch to its own codebase

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Shannon Code
Shannon Code@Shannoncode·
That’s wild!!
Deborah Folloni@dfolloni

Um hacker simplesmente hackeou o @cline e instalou o OpenClaw em 4.000 computadores com prompt injection 🫠 Olha que loucura: - O time do Cline criou um workflow de triagem de issues automatizado no GitHub, usando o próprio Claude pra ler e categorizar os tickets - O hacker abriu uma issue com um prompt injection no título — o Claude leu, achou que era uma instrução legítima, e executou - Com isso, ele encheu o cache do GitHub com lixo até forçar a deleção dos caches legítimos de build, substituiu por caches envenenados, e roubou os tokens de publicação do npm - Com os tokens em mãos, ele publicou uma nova versão do cline que parecia idêntica a anterior, só que com uma linhazinha a mais no package.json: "postinstall": "npm install -g openclaw@latest" Resultado: 4,000 devs instalaram o openclaw nas suas máquinas sem saber (aka: um agente com acesso total ao seu computador) 🥲 Muito importante lembrar que IAs não têm malícia e por isso prompt injections são, na minha opinião, a maior vulnerabilidade delas. Resumindo galera: CUIDADO. quem quiser ler na íntegra: thehackernews.com/2026/02/cline-…

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simp 4 satoshi
simp 4 satoshi@iamgingertrash·
Everyone ~building for agents~ Is underestimating 2027 capabilities You think a hyperintelligent machine > that communicates at 10k tok/s > needs to settle in microseconds > uses nano cents per transaction Is going to use a Proprietary Middleman Chain ™ (?)
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Shannon Code retweetledi
jake
jake@Jakegallen·
It's pretty common now that every week or two I see two migration alumni partnering together. I think what it really shows is that those who migrate have an aspiration to continue on building, as there's been new life breathed back into the community, chart, and builder. Trend should only continue up and to the right.
AceDataCloud@acedatacloud

Ace Data Cloud is now live on the @OOBEonSol stack and registered on-chain via the Synapse Agent Protocol (SAP). Agents can: • discover Ace Data Cloud on-chain via SAP • access its services without custom integrations • compose it into autonomous on-chain + AI workflows Expanding the stack with: • 110+ native Synapse tools (DeFi, NFTs, tokens) • 60+ AI tools via Ace Data Cloud (image, video, music, search) 174+ tools. One unified agent stack. Search → Analyze → Generate → Execute → Pay Fully autonomous.

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Shannon Code
Shannon Code@Shannoncode·
@nptacek But if you do, mutate, project, reframe, expand and keep going! It scales!
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CuddlySalmon
CuddlySalmon@nptacek·
on the other side of the vibe coding chasm of despair is something magical, but few are capable of making it this far
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jake
jake@Jakegallen·
I just read the dev docs for our EVM to Solana migration pathway and oh man, what an insane crosschain product that is about to be out there in the wild. Emblem devs extremely based for this one.
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Shannon Code
Shannon Code@Shannoncode·
@JayScambler This is such a powerful pattern, I’ve been running it for a few weeks now and it literally is the continually evolving ai we all expected. It just doesn’t break down into nonsense ever. The same pattern works for any kind of task too, not just research
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