wtf is ai-assisted-development-framework?

This repository is a template for software teams who want to use AI coding tools consistently across a shared codebase. The core problem it addresses is straightforward: AI assistants do not remember previous conversations, so if every developer is prompting their AI tool differently, the AI ends up making inconsistent decisions about architecture, testing, security, and style. This template is a proposed fix for that. The idea is to put all the project rules, architecture notes, and workflow instructions directly inside the repository itself, in files that any AI tool can read before it starts working. Instead of each developer explaining the project from scratch every session, the AI reads a small set of shared documents that describe what the product does, how the codebase is organized, and which rules must not be broken. This makes the AI's behavior more predictable across the team. The template ships with a folder structure that includes context and architecture documents, a set of coding and security standards, a testing policy, a release policy, a code review guide, and a glossary for product-specific terms. It also includes a set of named skills, each of which is a short instruction file guiding the AI through a specific type of task, such as making a backend change, fixing a bug, or reviewing a pull request. The approach is intentionally minimal: the AI reads a small always-loaded context file and only pulls in the other documents when the task calls for it. To use it, a team copies the template files into their own project repository and edits them to reflect their actual tech stack, folder layout, testing commands, and security model. There is also a prompt file that lets you ask an AI tool to inspect your codebase and generate a draft version of these files automatically, which the tech lead and senior developers then review and correct before it becomes official. The README is explicit about what not to include: no secrets, no API keys, no customer data, and no large requirement documents. The goal is a lean, maintainable set of files that keeps AI tools aligned without becoming a maintenance burden.