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# Dolutech AI Agent Rules & Guidelines
# Regras e Diretrizes de Agentes de IA Dolutech

## English Version

## Overview
This repository contains a collection of advanced rules and prompt templates designed for AI coding assistants and agents, focused on enhancing software project documentation, planning, security, and development workflow.
All rules are optimized for seamless integration with modern AI-powered coding environments and extensions.

## Purpose
These agent rules were created to be easily imported or referenced in AI development environments, helping teams and individuals to:
- Plan and document each project, feature, and change with precision
- Enforce best practices for security, traceability, and collaboration
- Clearly separate planning from execution, with explicit user approval for all steps
- Track all tasks, fixes, features, and integrations in a robust memory-bank structure

## Supported Environments & Tools
You can use these rules and agent profiles in virtually any AI coding environment, including but not limited to:
- **Claude Code** (Anthropic)
- **Cursor IDE**
- **Visual Studio Code (VSCode)** + Extensions (e.g., Cursor, AI Assistants)
- **GitHub Copilot**
- **WindSurf AI**
- **TRAE IDE**
- **ZED IDE**
- **Any LLM-based code agent/chatbot**
- **Other AI developer tools and IDEs**

> These guidelines work well with both cloud-based and local agent setups, and can be imported as `.md` files or referenced in your custom agent configurations.

## Structure
- `Agent_Security_Dolutech.md` – Complete rules for AI security audit agents in code, API, and integration analysis.
- `Memory_Bank_Rule_Dolutech.md` – Documentation and memory bank standard for project traceability and team onboarding.
- `Tasks_and_Planning_Rule_Dolutech.md` – Planning & execution workflow for every prompt, with explicit user approval flow.

## How to Use
1. **Import** or **copy** the relevant `.md` rule files into your AI coding environment, workspace, or prompt library.
2