Topic
Claude
Learn Claude as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts6 Articles2h 45m
Overview
Learn Claude as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Llm
Ai Agents
Developer Tools
Python
Learning Path in this Topic
Series that contain articles from Claude. Select a path to filter the article list.
Articles
6 matched articles
Article 1How AI Coding Agents Work: Models, Context, Sessions, and MemoryTLDR: An AI coding agent is an LLM stapled to a tool registry, wrapped in an orchestration loop that painstakingly rebuilds state on every single API call ā because the model itself is completely stat34 min
Article 2Build vs Buy: Deploying Your Own LLM vs Using ChatGPT, Gemini, and Claude APIsTLDR: Use the API until you hit $10K/month or a hard data privacy requirement. Then add a semantic cache. Then evaluate hybrid routing. Self-hosting full model serving is only cost-effective at > 50M 31 minArticle 3LLM Model Selection Guide: GPT-4o vs Claude vs Llama vs Mistral ā When to Use WhichTLDR: š§ Choosing the right LLM can save you 80% on costs while maintaining quality. This guide provides a decision framework, cost comparison, and practical examples to help engineering teams select 23 min
Article 4Step-by-Step: How to Expose a Skill as an MCP ServerTLDR: Turn any Python function into a multi-client MCP server in 11 steps ā from annotation to Docker.
š The Copy-Paste Problem: Why Skills Die at IDE Boundaries
A developer pastes their summarize_pr_diff function into a Slack message because thei...26 min
Article 5Headless Agents: Deploy Skills as MCP Servers ā Full Guide from Concept to Three ClientsTLDR: Build an MCP server once and call it from Cursor, Claude Desktop, and VS Code without rewrites ā this guide takes you from a single Python function to a containerized, authenticated, three-clien33 minArticle 6How Transformer Architecture Works: A Deep DiveTLDR: The Transformer is the architecture behind every major LLM (GPT, BERT, Claude, Gemini). Its core innovation is Self-Attention ā a mechanism that lets the model weigh relationships between all to18 min