by rohitg00 · MCP Server · ★ 45.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Journey • Get Started • Toolkit • Roadmap • Contribute • Glossary 230+ hands-on lessons across 20 phases. From linear algebra to autonomous agent swarms. Python, TypeScript, Rust, Julia. Every lesson produces something reusable: prompts, skills, agents, MCP servers. You learn AI. You build real things. You ship tools others can use. "I learned some
| Stars | 45,899 |
| Forks | 7,904 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.3996693603929/100 |
| Open Issues | 104 |
| Last Updated | 2026-08-04 |
| Created | 2026-03-18 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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ai-engineering-from-scratch is Learn it. Build it. Ship it for others.. It is categorized as a MCP Server with 45.9k GitHub stars.
ai-engineering-from-scratch is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the ai-engineering-from-scratch GitHub repository at github.com/rohitg00/ai-engineering-from-scratch. The project has 45.9k stars and 7904 forks, indicating an active community.
ai-engineering-from-scratch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-engineering-from-scratch on Agent Skills Hub include langchain, ai-guide, repomix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.