dollspace-gay

Project Development Standards

Chainlink Issue Tracking (MANDATORY)

All development work MUST be tracked using chainlink. No exceptions.

Session Workflow

# Start every work session
chainlink session start

dollspace-gay

Verification-Driven Development (VDD)

Methodology: Iterative Adversarial Refinement

Overview

Verification-Driven Development (VDD) is a high-integrity software engineering framework designed to eliminate "code slop" and logic gaps through a generative adversarial loop. Unlike traditional development cycles that rely on passive code reviews, VDD utilizes a specialized multi-model orchestration where a Builder AI and an Adversarial AI are placed in a high-friction feedback loop, mediated by a human developer and a granular tracking system.

I. The VDD Toolchain

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.