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amitshekhariitbhu/ai-system-design

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

Latest metrics (snapshot 2026-10-15)

stars670
forks99
issues0
pushed_at2026-10-14T03:25:00Z

History

GitHub stars: 670 – 6702026-10-142026-10-15
DateGitHub stars
2026-10-15670
2026-10-14670

ADC Momentum: 25/100 (-37 since previous day)

ADC Momentum 25 Leaderboard

Growth velocity14
Consistency0
Recency95
Agent demand0
Basisarchive

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionAI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.
urlhttps://github.com/amitshekhariitbhu/ai-system-design
languageMarkdown
licenseApache-2.0
topicsai
ai-agents
ai-engineering
ai-system
ai-system-design
ai-systems
ai-systems-design
llm
system-design
system-design-interview
created_at2026-09-25T04:50:06Z
homepagehttps://outcomeschool.com/program/ai-and-machine-learning

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