AI System Design: a repository for designing systems with LLMs, RAG, and agents

⚡ The gist in 5 seconds - What it is: the amitshekhariitbhu/ai-system-design GitHub repository teaches you how to design AI systems built on LLMs, RAG, and AI agents — step by step, from simple solutions to more complex ones. - Where it's available: the project is open source, licensed under Apache-2.0, and hosted at github.com/amitshekhariitbhu/ai-system-design. - Limitation: at the time of publication, the repository had only 8 commits, with its stats recorded at 641 stars and 89 forks. ### 🔍 What was found The repository description states the goal directly: “Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.” This means the material is structured as a sequential guide rather than just a collection of links. The main components — LLMs (large language models), RAG (retrieval-augmented generation), and AI agents — cover three key areas of modern AI engineering. The About section additionally includes a link to the educational program at outcomeschool.com/program/ai-and-machine-learning, tying the repository to a broader course on artificial intelligence and machine learning. The repository is tagged with the following topics: ai, ai-agents, ai-engineering, ai-system, ai-system-design, ai-systems, ai-systems-design, llm, system-design, system-design-interview. This set of tags indicates it targets developers working on AI system architecture and preparing for system design interviews. ### 💡 Why it matters The repository sits at the intersection of two in-demand fields: classic system design and AI engineering. LLMs, RAG, and AI agents are the foundation of most generative AI solutions today, so having structured material on designing them is of practical value. The Apache-2.0 license allows free use, modification, and distribution of the repository's contents, lowering the barrier to learning and applying it in your own projects. The stats of 641 stars and 89 forks confirm community interest. For those preparing for interviews, the dedicated system-design-interview tag makes the repository a convenient starting point. ### 🧩 Context The repository is maintained by user amitshekhariitbhu and, at the time of publication, contains 8 commits. The ratio of forks (89) to stars (641) shows that a notable share of users keep their own copy of the project — typical behavior for educational material. The repository includes standard elements: a README, a license, an assets folder, and a.gitattributes file. The detailed contents of the files, including any code examples, are not described in the provided data, but the very fact that it has an Apache-2.0 license and a step-by-step description in the title gives a clear picture of the project's purpose.

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