Claude 101
A practical guide to Claude and Anthropic's LLMs: use cases, prompt engineering and how to bring generative AI into real workflows.
Problem
Generative AI moves fast, and developers need curated resources to bring LLMs into their workflows without getting lost in sprawling documentation.
Solution
A practical, concise guide to Claude and Anthropic's LLMs, with prompt engineering examples and real use cases you can apply from day one.
Results
10+
Guides
25+
Examples
Tech stack
- Vercel
- Astro
- Markdown
- MDX
An educational resource on Claude and generative AI. It documents best practices, prompting techniques and concrete examples for getting real value out of language models in actual projects.
What I learned
- → Effective prompting is a core technical skill in the generative AI era.
- → Documenting concrete use cases speeds up AI adoption across development teams.
- → AI education has to be practical and applicable, not just theoretical.
Architecture · technical leadership · .NET
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