# avinash201199/System-Design-KIT > A curated collection of resources, case studies, tools, and roadmaps for system design — from basic APIs to distributed architectures. For interview prep and engineer growth. - Magnitude: 4.5 out of 10 — Early signal - Stars: 79 total · +0 stars today, ≈ 44 by evening - Star trust: star growth looks organic - Category: Learning & lists · License: MIT · Created: 2026-09-25 · Last push: 2026-09-25 - GitHub: https://github.com/avinash201199/System-Design-KIT · Homepage: https://www.lets-code.co.in/interview/system-design-interview-questions/ · Page: https://gitnova.dev/en/r/avinash201199/System-Design-KIT ## Useful for - Prepare for the System Design section of a FAANG interview - Study scalability, caching, and databases via a roadmap - Review real-world architecture case studies of YouTube, WhatsApp, and Uber ## Why it’s here - 0 stars so far today, about 44 expected by the end of the day. - The spike has held for 3 days in a row — not a one-off blip. - The repository is 2 days old and already has 79 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #171. - About 10 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 14 - Issues and pull requests: 0 - Watchers: 1 - Average over the last week: 41 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 2 ## Stars per day, last 8 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-27: 0, 0, 0, 0, 0, 28, 51, 0 ## Spotted in now - Top new repositories this week: #171 ## Similar by description 1. **amitshekhariitbhu/ai-engineer-roadmap** — 0.5 · Cooling · Learning & lists · Markdown · +0 stars today, ≈ 2 by evening A step-by-step AI Engineering roadmap covering ML foundations, transformers, RAG, agents, and deployment, with a blog for every topic. For anyone aiming to become an AI/LLM/Agent engineer from scratch. Full card: https://gitnova.dev/en/r/amitshekhariitbhu/ai-engineer-roadmap.md 2. **youngyangyang04/llm-master** — 1.2 · Cooling · Learning & lists · +0 stars today, ≈ 9 by evening A learning repository offering a full-stack LLM roadmap for programmers: from API calls and Prompt Engineering to RAG, Agents, MCP, fine-tuning, deployment and interview prep. Includes 150+ tutorials and real interview breakdowns. Full card: https://gitnova.dev/en/r/youngyangyang04/llm-master.md 3. **amitshekhariitbhu/ai-system-design** — 5.9 · Early signal · Learning & lists · Markdown · +0 stars today, ≈ 172 by evening A study guide to designing AI systems built on LLMs, RAG, and agents: from inference and GPUs to MCP, multi-agent systems, and interview preparation. Full card: https://gitnova.dev/en/r/amitshekhariitbhu/ai-system-design.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-27 01:40 UTC, updated every 30 minutes.