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)
| stars | 670 |
|---|---|
| forks | 99 |
| issues | 0 |
| pushed_at | 2026-10-14T03:25:00Z |
History
| Date | GitHub stars |
|---|---|
| 2026-10-15 | 670 |
| 2026-10-14 | 670 |
ADC Momentum: 25/100 (-37 since previous day)
| Growth velocity | 14 |
|---|---|
| Consistency | 0 |
| Recency | 95 |
| Agent demand | 0 |
| Basis | archive |
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
| description | AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step. |
|---|---|
| url | https://github.com/amitshekhariitbhu/ai-system-design |
| language | Markdown |
| license | Apache-2.0 |
| topics | ai ai-agents ai-engineering ai-system ai-system-design ai-systems ai-systems-design llm system-design system-design-interview |
| created_at | 2026-09-25T04:50:06Z |
| homepage | https://outcomeschool.com/program/ai-and-machine-learning |
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