by jorshali · MCP Server · ★ 55
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The Developer's Guide to AI - A Field Guide for the Working Developer This repository contains the code for the book The Developer's Guide to AI - A Field Guide for the Working Developer. You purchase the book from no starch press here: The Developer's Guide to AI: A Field Guide for the Working Developer If you're using the examples and you notice an issue: Your name could be in the next edition of the book! If you: Run into any issues with the examples Have recommendations to improve our documentation Notice any issues in the book Please let us know! Submit the issue here: developers-guide-to-ai:issues If your issue results in a change to the book text, a change to the examples, or, even better, an accepted pull request, your name will be added to the Acknowledgements in the next edition of the book. If you submit a pull request that is accepted, you'll even be a GitHub contributor to this project! Table of Contents The Developer's Guide to AI - A Field Guide for the Working Developer Table of Contents About the Book Pretrained AI Models Project Structure Prerequisites Install Ollama [Install Python (
| Stars | 55 |
| Forks | 37 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 66.5673181586981/100 |
| Last Updated | 2026-06-19 |
| Created | 2025-04-22 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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developers-guide-to-ai is The Developer's Guide to AI - A Field Guide for the Working Developer. It is categorized as a MCP Server with 55 GitHub stars.
developers-guide-to-ai is primarily written in Python. It covers topics such as ai, fastapi, generative-ai.
You can find installation instructions and usage details in the developers-guide-to-ai GitHub repository at github.com/jorshali/developers-guide-to-ai. The project has 55 stars and 37 forks, indicating an active community.
The top alternatives to developers-guide-to-ai on Agent Skills Hub include ai-microcore, mcp-tool-kit, ollama-mcp-bridge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.