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Nyx is an infinite-canvas IDE where Claude Code, Codex, Gemini, Hermes, and Droid all live on tiles. Arrange them however you want. Watch them all work at the same time. No context switching. Just ten agents running in parallel in front of you.

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0xMarioNawfal

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49,146 görüntüleme • 3 ay önce •via X (Twitter)

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introducing Ralv, the 3D interface to manage AI agents ◆ run multiple coding agents in parallel ◆ infinite 3D canvas instead of chat window ◆ use with claude code & codex subscription we also just launched on producthunt 👇
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introducing Ralv, the 3D interface to manage AI agents ◆ run multiple coding agents in parallel ◆ infinite 3D canvas instead of chat window ◆ use with claude code & codex subscription we also just launched on producthunt 👇

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Buzz from jack is the future of AI It allows you to command an entire army of AI agents My Codex, Claude Code, Hermes, and OpenClaw agents all work together in one place to do mind blowing work In this video I cover how it works and how you can get 100x productivity from it:

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What's better than Claude Opus 4.6 or GPT 5.3 Codex? Running them all, in parallel, with a single GitHub Copilot subscription. And all of this shipped just this week.
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What's better than Claude Opus 4.6 or GPT 5.3 Codex? Running them all, in parallel, with a single GitHub Copilot subscription. And all of this shipped just this week.

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How to manage multiple AI agents at once: I run 10 to 15 parallel AI agent threads a day. Some days even more. Hermes, OpenClaw, Claude Code, Codex, all going at once. But the problem is more agents doesn't equal more output. Past a certain number of threads, you lose context. You forget what you told which agent. You duplicate work across two threads doing the same job. This is how we're solving for it:
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How to manage multiple AI agents at once: I run 10 to 15 parallel AI agent threads a day. Some days even more. Hermes, OpenClaw, Claude Code, Codex, all going at once. But the problem is more agents doesn't equal more output. Past a certain number of threads, you lose context. You forget what you told which agent. You duplicate work across two threads doing the same job. This is how we're solving for it:

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Coding agents that actually get better the more your team uses them. Introducing Hivemind: continual learning for AI coding agents. Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage. Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested. Open source, one line install.

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Boris Cherny: "I don't write code anymore, I just prompt with Claude" he spent 57 minutes explaining exactly where this is all going here's what stood out: > Claude Code grew faster than anyone at Anthropic expected > AI agents are moving beyond coding into every industry > running 1,000 agents in parallel is already happening > SaaS may not survive the agent era if the Head of Claude Code prompts instead of codes, what does that tell you about the next 2 years? that's exactly why I put together an article on Claude features most people don't know exist it will change how you work with Claude completely you can find it below

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My workflow to spin up 3 coding agents at once: - type “ai” in terminal - launches Claude Code, Gemini CLI, & Codex CLI - fully synced windows - prompt w/ voice - hit send & watch Now Claude Opus 4, Gemini 2.5 Pro, and OpenAI o3 work on task - you pick the winner. Guide below.

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Cursor for Design? This Claude Code UI workflow is insane And many vibe coders not aware of it: 1. Claude Code can assign parallel tasks to sub agents 2. Integrate with git worktree to create sandbox env This means you can get Claude Code generate 10 design at the same time, fork & iterate 🔁 Design is an explorative process, by leveraging sub agent + parallel task capabilities, many interesting product UX can be built; Also turned this workflow into an open-source IDE extension here:

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Anthropic Product Lead: "At Anthropic, our engineers are running swarms of 300+ agents daily. Give your agents 100+ tools - just don’t load them all into context." In a 30-minute talk, the Anthropic team shows how to deploy agents to production. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then save the playbook below.

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