amitshekhariitbhu/ai-system-design

AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.

Learning & listsMarkdown#ai-engineering#ai-system#ai-system-design#ai-systems#ai-systems-design

5.7 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score. Star growth looks organic. Data as of September 25, 2026, 16:21 UTC.

Open on Seismograph Open on GitHub

About the project

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.

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

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

92 stars so far today, about 121 expected by the end of the day.
The repository is 0 days old and already has 97 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
Top new repositories this week: #170.
About 35 forks a day — people are taking the code.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 97
Today: 92 · ≈ 121 by evening
Forks: 13
Issues and pull requests: 0
Watchers: 0
Language: Markdown
License: Apache-2.0
Created: September 25, 2026
Last push: September 25, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 25, 2026Top new repositories this week: #170

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

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