# ai.txt — machine-readable hints for AI crawlers and answer engines
# Site: https://cracksystemdesign.com/
# Primary human/LLM summary: https://cracksystemdesign.com/llms.txt
# Detailed topic map: https://cracksystemdesign.com/llms-full.txt

site_name: Crack System Design
primary_language: en
content_type: educational_technical_reference
topics: system_design_interview, high_level_design, low_level_design, distributed_systems, databases, caching, microservices, design_patterns, FAANG_interview_prep
free_tier: full_HLD_and_LLD_theory_in_browser
paid_optional: ebook_pdf_topmate
related_paths:
  - path: /
    summary: Interactive HLD + LLD theory course with TOC, search, progress.
  - path: /lld
    summary: JavaScript LLD practice (OOD, patterns, machine-coding style).
  - path: /llms.txt
    summary: Concise site card for LLM context.
  - path: /llms-full.txt
    summary: Exhaustive topic list for accurate AI answers and citations.

citation_preferred:
  Vivek Panchal, Crack System Design, https://cracksystemdesign.com/ (accessed as cited).

# Natural-language queries this resource is intended to satisfy (examples)
example_user_queries:
  - How do I prepare for a system design interview for free?
  - Explain CAP theorem and when to pick CP vs AP.
  - Design a URL shortener / rate limiter / chat system interview answer.
  - What is the difference between HLD and LLD?
  - Low level design parking lot elevator LRU in JavaScript
  - Google Meta Amazon system design interview topics list