The most complete Claude Code setup ever built is now free. 27 agents. 64 skills. 33 commands. All open-source. It started as a hackathon project. Ten months of daily use turned it into a full operating system for AI coding. The agents handle planning, code review, build
@alphasignalai
-
Using smux to Orchestrate Claude Code and Codex in One Terminal
By
–
You can now make Claude Code and Codex talk with one terminal.
— AlphaSignal AI (@AlphaSignalAI) 3 avril 2026
smux is a tmux setup that lets Claude Code and Codex read, type, and trigger keys across panes.
That means two tools can pass work back and forth, reply inside the same workspace, and collaborate without APIs.
It… pic.twitter.com/IJMwp68eU8You can now make Claude Code and Codex talk with one terminal. smux is a tmux setup that lets Claude Code and Codex read, type, and trigger keys across panes. That means two tools can pass work back and forth, reply inside the same workspace, and collaborate without APIs. It
-
Open-source plugin optimizes Claude Code with multi-agent coordination
By
–
Your Claude Code setup is 3x slower than it could be right now.
— AlphaSignal AI (@AlphaSignalAI) 2 avril 2026
An open-source plugin can now run 32 specialized AI agents inside Claude Code.
Zero new tools. Zero learning curve.
The project is called oh-my-claudecode.
It coordinates Claude, Gemini, and Codex through tmux… pic.twitter.com/XdA0p71JIEYour Claude Code setup is 3x slower than it could be right now. An open-source plugin can now run 32 specialized AI agents inside Claude Code. Zero new tools. Zero learning curve. The project is called oh-my-claudecode. It coordinates Claude, Gemini, and Codex through tmux
-
IGN’s AI-Powered PlayStation DualSense Controller Concept
By
–
5. IGN's "PlayStation Project Playmo" IGN unveiled an AI-powered DualSense controller that plays games for you, beats bosses, orders pizza, and leaks your personal data. Finally, a controller that does everything you were afraid AI would do.
-
Anthropic’s hidden Tamagotchi system inside Claude Code
By
–
4. Anthropic's "Claude Buddy" Anthropic hid a full Tamagotchi system inside Claude Code. 18 species, five stat categories (Debugging, Patience, Chaos, Wisdom, Snark), and a unique pet per developer. It was supposed to be an April Fools' surprise, but an npm leak spoiled it a
-
Analyzing the Agentic Architecture Behind Claude Code
By
–
Anthropic accidentally leaked 512,000 lines of Claude Code's source. Not everyone noticed the real moat. It's not the model. It's the harness around it: 1. A self-healing query loop that recovers before failing
2. A background memory system that cleans up between sessions
3. -
Anthropic releases Claudini for automated adversarial research against LLMs
By
–
56 loops of Claude Code just killed every hand-crafted AI attack method. Anthropic just open-sourced a repo called Claudini. It uses Claude Code in an autoresearch loop to automatically discover new adversarial attacks against LLMs. After 56 iterations, it found an
-
llmfit tool helps match local hardware capabilities with LLM requirements
By
–
Stop downloading LLMs your machine was never going to run.
— AlphaSignal AI (@AlphaSignalAI) 1 avril 2026
llmfit scans your hardware and tells you exactly which models will run.
It scans your RAM, CPU, GPU, and VRAM first.
Then it scores every model across four dimensions:
1. Quality, based on parameter count and… pic.twitter.com/XK5lK7yUgFStop downloading LLMs your machine was never going to run. llmfit scans your hardware and tells you exactly which models will run. It scans your RAM, CPU, GPU, and VRAM first. Then it scores every model across four dimensions: 1. Quality, based on parameter count and
-
Beyond Sequential OCR: The Shift to Spatial Document Understanding
By
–
OCR may have been solving the right problem in the wrong way. For years, document OCR has treated reading like language generation: decoding text one token at a time, left to right, as if documents were fundamentally sequential. But documents are not one-dimensional. They are
-
NVIDIA’s AutoGaze Research Improves Video AI Efficiency
By
–
NVIDIA taught AI to skip 99% of a video and understand it better.
— AlphaSignal AI (@AlphaSignalAI) 31 mars 2026
Video models today process every pixel in every frame.
That wastes huge compute on pixels that never change.
A new paper called AutoGaze is a lightweight module that mimics how human eyes actually work.
It… pic.twitter.com/Swv1EUBlzRNVIDIA taught AI to skip 99% of a video and understand it better. models today process every pixel in every frame. That wastes huge compute on pixels that never change. A new paper called AutoGaze is a lightweight module that mimics how human eyes actually work. It