chenhunghan

Local Code Mode for MCP

Most MCP servers just wrap CRUD JSON APIs into tools — I did it too with scim-mcp and garmin-mcp-app. It works, until you realize a tool call dumps 50KB+ into context.

MCP isn't dead — but we need to design MCP tools with the context window in mind.

dollspace-gay

Verified Spec-Driven Development (VSDD)

The Fusion: VDD × TDD × SDD for AI-Native Engineering

Overview

Verified Spec-Driven Development (VSDD) is a unified software engineering methodology that fuses three proven paradigms into a single AI-orchestrated pipeline:

• Spec-Driven Development (SDD): Define the contract before writing a single line of implementation. Specs are the source of truth.
• Test-Driven Development (TDD): Tests are written before code. Red → Green → Refactor. No code exists without a failing test that demanded it.

llaughlin

#rbrahul-awesome-json{
    font-size: 10pt;
}

.property{
  color: #86AED6;
}

.json-literal-numeric{
  color: #D6AED6;

guidocella

#!/bin/sh

{
    echo '# Netscape HTTP Cookie File' # needed by youtube-dl

    # There is no attempt to url encode $1, but SQLite already handles
    # characters like spaces, so only ? % and # should cause issues.
    sqlite3 -separator '	' "file:${1:-$HOME/.local/share/qutebrowser}/webengine/Cookies?nolock=1" "
SELECT
    host_key,

dhananjay431

 
.target

burkeholland

Ultralight Orchestration

A minimal multi-agent system with an orchestrator, a planner, a coder, and a designer working together providing orchestration between Claude, Codex and Gemini.

Instructions

Install all agents listed below into VS Code Insiders...

Title	Type	Description

giuseppe998e

Install NixOS with BTRFS and IN-RAM root

1. Format and partition the hard drive

1. Create the GPT partition table
   • $ parted /dev/sdX mklabel gpt
2. Create the UEFI FAT32 partition (which will be /dev/sdXY)
   • $ parted /dev/sdX mkpart esp fat32 1MiB 512MiB
   • $ parted /dev/sdX set 1 esp on
   • $ parted /dev/sdX set 1 boot on

• $ mkfs.fat -F 32 -n UEFI /dev/sdXY

Als-Pal

Quicken ↔ Amazon Order History Matcher — AI Context Guide

What This Is

This file is a context document you can give to an AI coding assistant (Claude, ChatGPT, Copilot, etc.) so it understands the Quicken Amazon Matcher project and can help you set it up, troubleshoot it, or extend it.

How to use this file: Copy its contents into a conversation with your AI assistant, or upload it as an attachment. Then ask your question. The AI will have everything it needs to give you specific, accurate help.

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