







From the Zed Blog: This investment lets us pursue our vision for bringing a new kind of collaboration directly into the IDE.
Introducing Delta
From the Zed Blog: A multiplayer environment for coding with agents, from the creators of Zed.
Zed — Your last next editor
Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

Creative Code Denver | Meetup
This group is for people interested in exploring code as a creative medium. It's also for helping people find creative collaborators. (AI stuff is off-topic)**"Who should join?"*** Anyone, at any skill level, who's interested in programming in the context of the arts—whether visual, or sonic, or tac

AI Coding & Cloud | Meetup
This group started January 2016.We are about extraordinary advances in software creation, maintenance, and hosting.We are a gathering of good natured people for encouragement and support of what you do.This is your group! How you can help:1. Help to publicize events at work, with friends, and especi

We're Not Building AI Features for the Money
From the Zed Blog: Why Zed invests in AI, and the future we're building toward.
Gergely Orosz on Twitter / X
Doing it *for yourself* - amazing, personal software!! And lots of funDoing it *for your team* of 35 - sounds like less fun, and rebuilding a bunch of stuff that is not minimalist but what collaboration software has to do— Gergely Orosz (@GergelyOrosz) March 25, 2026
How CRDTs make multiplayer text editing part of Zed's DNA
From the Zed Blog: A detailed exploration of Zed's eventually-consistent text representation.

OpenAI Developers on Twitter / X
We’re releasing new Codex features to make it a more effective coding collaborator:- A new IDE extension- Easily move tasks between the cloud and your local environment- Code reviews in GitHub- Revamped Codex CLIPowered by GPT-5 and available through your ChatGPT plan.— OpenAI Developers (@OpenAIDevs) August 27, 2025
Stories | Cyrus
Insights, tutorials, and case studies on AI-powered development workflows. Learn how teams use Cyrus with Linear and Claude Code to ship 20x faster.
One Developer, Two Dozen Agents, Zero Alignment
Why we need collaborative AI engineering and a tour of Ace: the multiplayer coding workspace

zed-industries/zeta · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Creative Computing Group by @tgoerke.bsky.social — Grain
Let's start a group at CODIP to explore creative computing. Let's not start by defining creativity nor computing. It would be a trap. Let's collect artifacts instead. Images, text, thoughts,...
Zedra — Remote control for AI coding agents
Zedra is a remote control for AI coding agents with terminal, editor, markdown, and git. Pair by QR for a direct, secure tunnel. No VPN or port forwarding.

Beyond the Individual: Understanding the Evolution of Collective Intelligence
This chapter outlines the evolution of collective intelligence, starting from its ancient roots and concluding with modern digital platforms. It discusses intelligence theories, project examples, and the impact of technology on collaborative efforts. Key focuses include the role of the internet and online communities in boosting our collective IQ, with a particular emphasis on Douglas Engelbart's contributions and the open-source movement, as exemplified by Linux's development. The chapter examines how digital transformation has facilitated new forms of community and knowledge sharing, significantly influencing fields such as management, decision-making, and organizational learning. Various scholars and their definitions of CI are discussed, including Pierre Lévy's vision of universally distributed intelligence and the concept of swarm intelligence in biological sciences. We then move on to practically implemented CI projects, exploring crowdsourcing as a manifestation of CI in business and social projects and examining possibilities of harnessing the wisdom of crowds for problem-solving and innovation. The chapter concludes with a presentation of the current state of collective intelligence academic research.

Got to talk at @aidotengineer.bsky.social conf last week about the need for collaborative AI engineering. All our current coding agents are single player. We're trying to scale up individual productivity, but creating tons of alignment problems in the process. We have no good tools for...