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AuroraNeuroGrid (ANG) — production-grade cognitive AGI operating system (FastAPI, quantum-informed neural routing, AGI triad, self-improving AI) Updated 24 May 2026.

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Last Preparation — FAANG

A focused repository for daily FAANG-style preparation with DSA practice and coding reference material.

📅 Latest Update

  • Date: May 26, 2026
  • Status: Active preparation in progress
  • Connection: Successfully established with GitHub remote
  • Today's Progress: 5 commits completed

Contents

  • 15May-2026/ — daily practice files, coding exercises, and prep notes
    • Day1/ — Find duplicates in multiple languages
    • Day3_All_Star/ — Star pattern implementations
    • Final/ — Final project work
  • Daily_fang_track.md — progress tracking for daily preparation
  • Final_Poroject/ — final project work and related implementation
  • Minimal_prep/ — lightweight preparation resources
  • Searches/ — AI search and deployment catalog

Usage

Open the appropriate practice folder and run the example code in your preferred language.

Example:

# Run a Python practice script
python 15May-2026/Day1/find_duplicates.py

# Run star pattern practice
node 15May-2026/Day3_All_Star/03_pyramid.js

Git Configuration

This repository is configured with:

Today's Commits (May 26, 2026)

  1. ✅ Updated main README with connection info
  2. ✅ Updated 15May-2026 readme with Day3 patterns
  3. ✅ Updated Searches README with latest status
  4. ✅ Updated Day3_All_Star readme with practice tips
  5. ✅ Final README update with comprehensive overview

Notes

This repo is intended for structured interview prep and tracking progress across multiple languages.


Last updated: May 26, 2026 | Connection verified and working | 5 commits completed today

About

AuroraNeuroGrid (ANG) — production-grade cognitive AGI operating system (FastAPI, quantum-informed neural routing, AGI triad, self-improving AI) Updated 24 May 2026.

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