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Claude Code & Cursor rules for ai-engineering-from-scratch

by @rohitg00 · 7,329 stars · Python

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About ai-engineering-from-scratch

Learn it. Build it. Ship it for others.

**84% of students already use AI tools. Only 18% feel prepared to use them professionally.** This curriculum closes that gap. 416 lessons. 20 phases. ~320 hours. Python, TypeScript, Rust, Julia. Every lesson ships a reusable artifact: a prompt, a skill, an agent, an MCP server. Free, open source, MIT. You don't just learn AI. You build it. End-to-end. By hand. ## How this works Most AI material teaches in scattered pieces. A paper here, a fine-tuning post there, a flashy agent demo somewhere else. The pieces rarely line up. You ship a chatbot but can't explain its loss curve. You hook a function to an agent but can't say what attention does inside the model that's calling it. This curriculum is the spine. 20 phases, 416 lessons, four languages: Python, TypeScript, Rust, Julia. Linear alge

Topics

agentsaiai-agentsai-engineeringcomputer-visioncoursedeep-learningfrom-scratchgenerative-aillmmachine-learningmcp

No rules target ai-engineering-from-scratch yet

No published rules, MCP servers, or skills target ai-engineering-from-scratch yet. If you maintain a tool that works well with this project, you can publish for free during beta.

Why this page exists

RuleSell tracks the AI-coding ecosystem so you don't have to. When a repo like ai-engineering-from-scratch picks up momentum, we surface the Claude Code skills, Cursor rules, MCP servers, and agent configs that target it — with real author attribution, SPDX license badges, and quality scores. Every listing ships with copy-paste install for each environment.