







co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other. Tag: Developer.
co/core — an AI cooperative
co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it.

Can we billionaire-proof inference? - Graze Newsletter
A small, federated compute co-op called co/core — and the wider experiment it's a part of.
✨🙌 AI that helps communities thrive on their own terms
Open protocols + AI-enabled coding = building what we need for ourselves

On-device intelligence for every product
We're building a frontier lab for on-device AI. Small, specialized models for audio, vision, and text, faster than the cloud and free.

AI Agent Lands PRs in Major OSS Projects, Targets Maintainer...
An AI agent is merging PRs into major OSS projects and cold-emailing maintainers to drum up more work.

Coasts — Containerized Hosts for AI Agents
Free, open source parallel runtimes for AI agents. Run multiple isolated environments on your machine — no cloud, no conflicts.

“Policy Without Tools Is Just Poetry” - AT Protocol
Juliet Shen from ROOST joins the show to talk through the Coop 1.0 release, what open-source trust and safety unlocks for new builders, and where AI actually belongs in moderation

Learn | Frontend Hire
AI writes the UI now. These tracks build the career it can't: frontend depth, product thinking, AI-powered building, and finding the work that pays for it.

Stanford AO — Building the autonomous organization
Stanford AO is building the autonomous organization — an incubator at Stanford OpenLab for agent swarms, DAOs, AI villages, and related experiments.

AI costs how much? GitHub Copilot users react to new usage-based pricing system.
Some report burning through their whole monthly "AI credit" allotment in a single day.


What spec-driven development gets wrong
The most powerful AI software development platform with the industry-leading context engine.

Programming (with AI agents) as theory building
Back in 1985, computer scientist Peter Naur wrote “Programming as Theory Building”. According to Naur - and I agree with him - the core output of software engineers is not the program itself, but the theory of how the program works. In other words, the knowledge inside the engineer’s mind is the primary artifact of engineering work, and the actual software is merely a by-product of that.

AI SDK by Vercel | AI SDK
The AI SDK is the TypeScript toolkit for building AI applications and agents with React, Next.js, Vue, Svelte, Node.js, and more.

I am often wrong
[I shared this note with my team earlier this week, and am posting it here as well. I hope it is interesting or helpful for others working on building product in the age of AI.]
AI Wrappers: It's Just Trucks All The Way Down
Check out this programming meme on ProgrammerHumor.io
