AI Systems Dev
721 posts

AI Systems Dev retweetledi
AI Systems Dev retweetledi

At our @OpenClaw meetup, @steipete talked with @LucianaLix about the question that led to the creation of OpenClaw – the same question behind the founding of many now-legendary companies:
“How hard can it be?”
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new @openclaw beta is up! gollum in the VM approves. github.com/openclaw/openc…
What's new? "stop openclaw!", Android refresh (yes we have apps for iOS Android macOS Windows and all, just not quite ready for prime time yet), Big reliability fixes for cross-channel routing, Heartbeat is safer by default (no more DM leaking), Discord reliability improvements, WhatsApp safety/reliability, some macOS work and security hardening (lots of allowList tweaks this time)

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Everyone's building "agent swarms." Nobody's talking about why they work.
It's not the orchestration. It's the context allocation.
A solo dev just documented his setup: one AI holds business context (customer data, meeting notes, past decisions). Separate AIs hold the codebase. The orchestrator writes prompts. The workers write code.
Context windows are zero-sum. Fill it with code, no room for customer context. Fill it with customer history, no room for the codebase. So you split the tiers.
The orchestrator understands customers, priorities, context. It writes the prompts. The coding agents understand the repo, conventions, tests. They write the code.
That's not a PM and an engineering team. That's a backlog manager and a squad of coders who follow instructions.
But the orchestrator doesn't decide what's worth building. It translates decisions that already got made. The coding agents don't question the spec. They ship it.
Agent swarms automated the bottom two tiers of building software. Task scoping and code generation.
What remains is what was always hardest: figuring out which customer problem matters most and what to say no to.
Agents didn't touch product management.
Elvis@elvissun
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New CHUNKY @openclaw beta is up. Will wait a few h before flipping the switch to catch regressions. Reply to this tweet if you find any blockers that were not in .21 github.com/openclaw/openc…
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@nummanali Agree X is high signal for agentic work. How do you account for selection bias, builders who learn elsewhere or don’t post publicly?
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AI Systems Dev retweetledi

I'm joining @OpenAI to bring agents to everyone. @OpenClaw is becoming a foundation: open, independent, and just getting started.🦞
steipete.me/posts/2026/ope…
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New version of summarize.sh is out! 0.11 can now even use cursor for free tokens + uses Groq for way faster TTS inference + lots lots of other improvements.
github.com/steipete/summa…
summarize youtube.com/watch\?v\=n1E9IZfvGMA --slides
my favorite way to consume YT. Or Podcasts. or literally any website or remote or local file.
Powers the content efficient file summarization for @openclaw but also really nice for humans, especially with --slides.
It's also a Chrome extension. because why not.
chromewebstore.google.com/detail/summari…

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RT @PawelHuryn: OpenClaw has 186K GitHub stars and 1.5M compromised API keys. I needed a secure alternative.
So, I built it with n8n and C…
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AI Systems Dev retweetledi
We successfully trained an LLM without human intervention using Claude Code.
We made a guide on how to do this with local LLMs via Claude Code and OpenAI Codex.
Connect GLM-4.7-Flash to your server and start agentic coding locally!
Guide: unsloth.ai/docs/basics/cl…

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