# amitshekhariitbhu/ai-system-design > 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. - Magnitude: 5.7 out of 10 — Early signal - Stars: 103 total · +98 stars today, ≈ 126 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: Markdown · License: Apache-2.0 · Created: 2026-09-25 · Last push: 2026-09-25 - GitHub: https://github.com/amitshekhariitbhu/ai-system-design · Homepage: https://outcomeschool.com/program/ai-and-machine-learning · Page: https://gitnova.dev/en/r/amitshekhariitbhu/ai-system-design ## Useful for - Study LLM inference architecture, KV Cache, and load balancing - Learn RAG patterns, vector databases, and chunking strategies - Prepare for AI System Design interviews with a step-by-step framework ## Why it’s here - 98 stars so far today, about 126 expected by the end of the day. - The repository is 0 days old and already has 103 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #160. - About 37 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: 16 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 126 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 8 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-25: 0, 0, 0, 0, 8, 98 ## Spotted in now - Top new repositories this week: #160 ## Similar by description 1. **amitshekhariitbhu/ai-engineering-course** — 5.2 · Early signal · Learning & lists · Markdown · +31 stars today, ≈ 51 by evening A free, structured AI Engineering course with 18 modules and 146+ lessons: from ML basics and Transformers to LLMs, RAG, agents, inference, evaluation, and AI safety. Full card: https://gitnova.dev/en/r/amitshekhariitbhu/ai-engineering-course.md 2. **amitshekhariitbhu/ai-engineer-roadmap** — 1.3 · Cooling · Learning & lists · Markdown · +8 stars today, ≈ 11 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 3. **cloudflare/pingora** — 1.2 · Steady · DevOps & infrastructure · Rust · +3 stars today, ≈ 5 by evening Pingora is a Rust framework for building fast and reliable network services: HTTP/1-2 proxies, load balancers, and gRPC/websocket proxies. It powers Cloudflare, serving over 40 million requests per second. Full card: https://gitnova.dev/en/r/cloudflare/pingora.md 4. **xevrion/breakscale** — 0.8 · Steady · Learning & lists · TypeScript · +2 stars today, ≈ 3 by evening A system design simulator for distributed systems: you build a topology on a canvas, raise the load, and watch real queueing behaviour emerge — latency growth, queue overflow, retry storms and outages. For people learning system design… Full card: https://gitnova.dev/en/r/xevrion/breakscale.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 2026-09-25 17:07 UTC, updated every 30 minutes.