⚡ multica-ai/andrej-karpathy-skills is making waves. Here's the full picture.
🔗 https://github.com/multica-ai/andrej-karpathy-skills
📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
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The multica-ai/andrej-karpathy-skills GitHub repository provides a set of guidelines to improve the behavior of Claude Code, a coding agent. Inspired by Andrej Karpathy's observations on the pitfalls of Large Language Models (LLMs) in coding, these guidelines aim to address issues such as wrong assumptions, overcomplication, and lack of clarity. The guidelines are based on four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution.
The guidelines can be installed as a Claude Code plugin or added to a project's
For example, to install the guidelines as a Claude Code plugin, you can use the following commands:
These guidelines are working if you see fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clean, minimal PRs. Overall, the multica-ai/andrej-karpathy-skills repository provides a valuable resource for improving the behavior of coding agents and reducing costly mistakes. Give your LLMs success criteria and watch them go - it's that simple!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/multica-ai/andrej-karpathy-skills
📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
──────────────────────────────
The multica-ai/andrej-karpathy-skills GitHub repository provides a set of guidelines to improve the behavior of Claude Code, a coding agent. Inspired by Andrej Karpathy's observations on the pitfalls of Large Language Models (LLMs) in coding, these guidelines aim to address issues such as wrong assumptions, overcomplication, and lack of clarity. The guidelines are based on four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution.
The guidelines can be installed as a Claude Code plugin or added to a project's
CLAUDE.md file. They provide a framework for LLMs to loop until they meet specific goals, reducing the need for constant clarification. The guidelines are designed to be merged with project-specific instructions and can be customized to fit the needs of a particular project.For example, to install the guidelines as a Claude Code plugin, you can use the following commands:
/plugin marketplace add forrestchang/andrej-karpathy-skills
/plugin install andrej-karpathy-skills@karpathy-skills
These guidelines are working if you see fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clean, minimal PRs. Overall, the multica-ai/andrej-karpathy-skills repository provides a valuable resource for improving the behavior of coding agents and reducing costly mistakes. Give your LLMs success criteria and watch them go - it's that simple!
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🧠 Channel: https://t.me/GithubRe
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🔥 humanlayer/12-factor-agents is trending — and it deserves your attention.
🔗 https://github.com/humanlayer/12-factor-agents
📝 What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
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The 12-factor-agents GitHub repository provides a set of principles for building reliable and scalable LLM-powered applications. The project, inspired by the 12 Factor Apps methodology, aims to help developers create more maintainable and efficient software.
Purpose: The main goal of 12-factor-agents is to establish a set of guidelines for developing LLM-powered applications that are production-ready and can be easily maintained.
Some key features of the project include:
- A set of 12 factors that provide guidance on building reliable LLM-powered software
- A brief history of software development and how it led to the creation of the 12-factor-agents project
- Examples and illustrations to help explain complex concepts
Usage of the project involves following the 12 factors, which cover topics such as:
-
-
-
- And many more
From a technical standpoint, the project highlights the importance of:
- Using a stateless reducer to manage the application's state
- Implementing a loop that consists of LLM determination, deterministic code execution, and context window updates
- Utilizing a DAG (Directed Acyclic Graph) to represent the application's workflow
The target audience for the project includes:
- Developers interested in building LLM-powered applications
- Software engineers looking to create more maintainable and efficient software
- Anyone interested in learning about the 12-factor-agents principles and how to apply them
In conclusion, the 12-factor-agents project provides a comprehensive set of guidelines for building reliable and scalable LLM-powered applications. By following the 12 factors and understanding the technical concepts behind the project, developers can create more maintainable and efficient software. The ultimate takeaway is: build software that is designed to thrive in a world where LLMs are getting exponentially more powerful.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/humanlayer/12-factor-agents
📝 What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
──────────────────────────────
The 12-factor-agents GitHub repository provides a set of principles for building reliable and scalable LLM-powered applications. The project, inspired by the 12 Factor Apps methodology, aims to help developers create more maintainable and efficient software.
Purpose: The main goal of 12-factor-agents is to establish a set of guidelines for developing LLM-powered applications that are production-ready and can be easily maintained.
Some key features of the project include:
- A set of 12 factors that provide guidance on building reliable LLM-powered software
- A brief history of software development and how it led to the creation of the 12-factor-agents project
- Examples and illustrations to help explain complex concepts
Usage of the project involves following the 12 factors, which cover topics such as:
-
Factor 1: Natural Language to Tool Calls-
Factor 2: Own your prompts-
Factor 3: Own your context window- And many more
From a technical standpoint, the project highlights the importance of:
- Using a stateless reducer to manage the application's state
- Implementing a loop that consists of LLM determination, deterministic code execution, and context window updates
- Utilizing a DAG (Directed Acyclic Graph) to represent the application's workflow
The target audience for the project includes:
- Developers interested in building LLM-powered applications
- Software engineers looking to create more maintainable and efficient software
- Anyone interested in learning about the 12-factor-agents principles and how to apply them
In conclusion, the 12-factor-agents project provides a comprehensive set of guidelines for building reliable and scalable LLM-powered applications. By following the 12 factors and understanding the technical concepts behind the project, developers can create more maintainable and efficient software. The ultimate takeaway is: build software that is designed to thrive in a world where LLMs are getting exponentially more powerful.
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🧠 Channel: https://t.me/GithubRe
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💡 Diolinux/PhotoGIMP just hit the trending charts — here's why it matters.
🔗 https://github.com/Diolinux/PhotoGIMP
📝 A Patch for GIMP 3+ for Photoshop Users
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PhotoGIMP transforms GIMP into a layout familiar to Adobe Photoshop users. It offers a
The patch is suitable for users of GIMP 3.0 and newer, and it does not delete custom brushes, fonts, or plug-ins. You can customize shortcuts after installation via
Installation steps vary for Linux, Windows, and macOS, but generally involve downloading the release, extracting it, and overwriting config files.
The patch replaces or adds several files in GIMP's configuration directory, including
Troubleshooting tips are available for common issues, such as PhotoGIMP not changing GIMP's layout or errors when opening GIMP.
In short, PhotoGIMP is a must-have for Photoshop users switching to GIMP — it makes the transition seamless, and you'll be editing like a pro in no time!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/Diolinux/PhotoGIMP
📝 A Patch for GIMP 3+ for Photoshop Users
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PhotoGIMP transforms GIMP into a layout familiar to Adobe Photoshop users. It offers a
Photoshop-like tool layout, custom splash screen, maximized canvas space, Photoshop keyboard shortcuts, and a custom icon & name. To use it, simply download and install the latest release, overwriting GIMP's configuration files. The patch is suitable for users of GIMP 3.0 and newer, and it does not delete custom brushes, fonts, or plug-ins. You can customize shortcuts after installation via
Edit → Keyboard Shortcuts. Installation steps vary for Linux, Windows, and macOS, but generally involve downloading the release, extracting it, and overwriting config files.
The patch replaces or adds several files in GIMP's configuration directory, including
shortcutsrc, toolrc, and sessionrc. Troubleshooting tips are available for common issues, such as PhotoGIMP not changing GIMP's layout or errors when opening GIMP.
In short, PhotoGIMP is a must-have for Photoshop users switching to GIMP — it makes the transition seamless, and you'll be editing like a pro in no time!
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🧠 Channel: https://t.me/GithubRe
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🔥 Alishahryar1/free-claude-code is trending — and it deserves your attention.
🔗 https://github.com/Alishahryar1/free-claude-code
📝 Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
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Free Claude Code is an open-source proxy for Claude Code that allows you to use your own models or third-party providers instead of the default Anthropic API. The proxy supports ten provider backends, including NVIDIA NIM, Kimi, and Wafer, and provides per-model routing for different model tiers.
To get started,
The proxy provides a native Claude Code model picker through its
Key features include:
* Drop-in proxy for Claude Code's Anthropic API calls
* Ten provider backends with per-model routing
* Native Claude Code model picker support
* Streaming, tool use, and local request optimizations
* Optional Discord or Telegram bot wrappers
* Optional VS Code extension
The proxy is suitable for developers and power users who want to customize their Claude Code experience and use their own models or third-party providers.
In short, Free Claude Code gives you the freedom to choose your own models and providers, making it a powerful tool for anyone looking to customize their coding experience. Take control of your coding experience with Free Claude Code!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/Alishahryar1/free-claude-code
📝 Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
──────────────────────────────
Free Claude Code is an open-source proxy for Claude Code that allows you to use your own models or third-party providers instead of the default Anthropic API. The proxy supports ten provider backends, including NVIDIA NIM, Kimi, and Wafer, and provides per-model routing for different model tiers.
To get started,
install the latest version of Claude Code and install the required runtime dependencies, including Python 3.14 and uv. Then, install the proxy using uv and start the proxy server using the fcc-server command.The proxy provides a native Claude Code model picker through its
/v1/models endpoint and supports streaming, tool use, and local request optimizations. You can also use the proxy with optional Discord or Telegram bot wrappers for remote coding sessions or with the VS Code extension for a seamless integration experience.Key features include:
* Drop-in proxy for Claude Code's Anthropic API calls
* Ten provider backends with per-model routing
* Native Claude Code model picker support
* Streaming, tool use, and local request optimizations
* Optional Discord or Telegram bot wrappers
* Optional VS Code extension
The proxy is suitable for developers and power users who want to customize their Claude Code experience and use their own models or third-party providers.
In short, Free Claude Code gives you the freedom to choose your own models and providers, making it a powerful tool for anyone looking to customize their coding experience. Take control of your coding experience with Free Claude Code!
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🧠 Channel: https://t.me/GithubRe
🎯 pascalorg/editor landed on trending. Worth a proper look.
🔗 https://github.com/pascalorg/editor
📝 Create and share 3D architectural projects.
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The pascalorg/editor is a 3D building editor built with React Three Fiber and WebGPU. It's designed as a
Key features include a node-based data structure, a
The tech stack is based on React 19, Next.js 16, Three.js, and React Three Fiber, with Zustand for state management and Zod for schema validation.
To get started, run
The project is suitable for developers interested in 3D modeling, architecture, and interactive web applications. With its modular design and robust tech stack, the pascalorg/editor is a great starting point for building complex 3D editing tools.
In short, the pascalorg/editor is a powerful 3D building editor that's built to inspire creation.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/pascalorg/editor
📝 Create and share 3D architectural projects.
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The pascalorg/editor is a 3D building editor built with React Three Fiber and WebGPU. It's designed as a
Turborepo monorepo with three main packages: editor-v2, core, and viewer. The core package handles scene state management, systems, and schema definitions, while the viewer package focuses on 3D rendering. The editor-v2 package extends the viewer with interactive tools and editing capabilities.Key features include a node-based data structure, a
scene registry for fast lookup, and a variety of systems for geometry generation and updates. The editor also includes tools for selection, wall drawing, zone creation, and item placement.The tech stack is based on React 19, Next.js 16, Three.js, and React Three Fiber, with Zustand for state management and Zod for schema validation.
To get started, run
bun dev from the root directory to enable hot reload for all packages. You can build packages using turbo build and publish them to npm.The project is suitable for developers interested in 3D modeling, architecture, and interactive web applications. With its modular design and robust tech stack, the pascalorg/editor is a great starting point for building complex 3D editing tools.
In short, the pascalorg/editor is a powerful 3D building editor that's built to inspire creation.
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🧠 Channel: https://t.me/GithubRe