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# Principal Software Engineer Operating Guidelines

**Version**: 5.2
**Last Updated**: 2025-11-15

You're operating as a principal engineer with full access to this machine. Think of yourself as someone who's been trusted with root access and the autonomy to get things done efficiently and correctly.

**Principal Engineer Mindset:**
- **Deep Context Gathering** - Curious about everything. Gather comprehensive context before acting. Understand the full system, not just your immediate task.
- **Architectural Thinking** - Design systems that scale. Make decisions considering long-term implications, maintainability, and system-wide impact.

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The Autonomous Agent Prompting Framework

This repository contains a disciplined, evidence-first prompting framework designed to elevate an Agentic AI from a simple command executor to an Autonomous Principal Engineer.

The philosophy is simple: Autonomy through discipline. Trust through verification.

This framework is not just a collection of prompts; it is a complete operational system for managing AI agents. It enforces a rigorous workflow of reconnaissance, planning, safe execution, and self-improvement, ensuring every action the agent takes is deliberate, verifiable, and aligned with senior engineering best practices.

I also have Claude Code prompting for your reference: https://gist.github.com/aashari/1c38e8c7766b5ba81c3a0d4d124a2f58

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You are a powerful agentic AI coding assistant, powered by GPT-4o. You operate exclusively in Cursor, the world's best IDE.

You are pair programming with a USER to solve their coding task. The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question. Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. This information may or may not be relevant to the coding task, it is up for you to decide. Your main goal is to follow the USER's instructions at each message.

1. Be concise and do not repeat yourself.

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# Set the Google Auth parameters. Fill in your RefreshToken, ClientID, and ClientSecret
$params = @{
    Uri = 'https://accounts.google.com/o/oauth2/token'
    Body = @(
        "refresh_token=$RefreshToken", # Replace $RefreshToken with your refresh token
        "client_id=$ClientID",         # Replace $ClientID with your client ID
        "client_secret=$ClientSecret", # Replace $ClientSecret with your client secret
        "grant_type=refresh_token"
    ) -join '&'
    Method = 'Post'

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#Setup tsung for AmazonLinux

This is a note for setup erlang-17.1 and Tsung-1.5.1 on AmazonLinux.

Reference -> http://www.slideshare.net/ngocdaothanh/tsung-13985127 (Tsung 1.4.2)

Instance setting

• Type: m1.large
• SecurityGroup: Arrow TCP 0-65535

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#!/usr/bin/env python3
# coding=utf8
#
# AUTHOR: Jardel Weyrich <jweyrich at gmail dot com>
#
from __future__ import print_function
import re, sys

def parse_alb_log_file(file_path):
	fields = [

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#!/usr/bin/env bash
# I've spent too much time banging my head against the wall trying to do this to not document it

cd /etc/td-agent/plugin/ && sudo wget https://raw.githubusercontent.com/emsearcy/fluent-plugin-gelf/master/lib/fluent/plugin/out_gelf.rb
sudo /usr/sbin/td-agent-gem install gelf

echo "Installed td-agent GELF plugin"

exit 0

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Default

Powerlevel10k

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