Claude / Anthropic
Curated Claude / Anthropic tutorials.
AI Coding Assistants Compared: GitHub Copilot vs Cursor vs Claude vs Gemini Code
The AI coding assistant market has evolved far beyond autocomplete. This comprehensive comparison tests GitHub Copilot, Cursor, Tabnine, Amazon Q Developer, Claude in terminal, Gemini Code Assist, and JetBrains AI across code completion quality, codebase understanding, debugging assistance, test generation, documentation, and real productivity metrics from developer surveys.
AdvancedAI Financial Report Analysis 2026: Quickly Decode Listed Company Reports with ChatGPT + Claude
Reading and analyzing financial reports is fundamental to investment decisions, but a full annual report often exceeds 200 pages. In 2026, AI can extract key information, analyze data, compare with competitors, and even identify anomalies and risk signals within 5-10 minutes. This article shares a complete AI workflow for financial report analysis, including financial health assessment, earnings quality analysis, management discussion interpretation, and risk factor identification, with a comprehensive prompt system.
IntermediateThe Complete Guide to AI Novel Writing 2026: From Worldbuilding to Chapter Generation
A full workflow for AI-assisted novel writing (2026): the core challenge is long-range consistency—build a novel bible (character profiles + a 'never do' negative list), a three-layer outline, list scenes before writing, and maintain consistency with rolling summaries, a plot-thread ledger, and regular consistency checks. Includes a human-AI division of labor table and an AI-voice self-check list.
IntermediateAnthropic Tool Use: Developer Guide and Quick Start 2026
Anthropic Tool Use: Developer Guide 2026 What is Anthropic Tool Use? **Anthropic Tool Use** enables how to use tools/function calling with Claude. This guide covers everything you need to get started quickly. Why Use Anthropic Tool Use? - Solves
IntermediateClaude Artifacts vs GPT Code Interpreter: Side-by-Side Comparison
Claude Artifacts vs ChatGPT Code Interpreter (2026): the former is a browser-side interactive rendering canvas (UI prototypes/visualizations/publishable and shareable), the latter is a server-side Python sandbox (file analysis/data processing). If the task is 'build something interactive', choose the former; if it's 'crunch this file', choose the latter. Includes combined usage.
IntermediateClaude Opus 4 API Tutorial 2026: Advanced Reasoning and Long Context
Complete Claude Opus 4 API tutorial. Covers system prompts, document analysis, tool use, vision, streaming, and cost optimization strategies for routing between Opus/Sonnet/Haiku.
AdvancedClaude Thinking vs OpenAI o3 vs Gemini 2.5 Pro: Reasoning AI 2026
Claude Extended Thinking vs OpenAI o3 vs Gemini Reasoning Mode (2026): All three trade longer thinking for accuracy—o3 excels at math/logic, Claude is strong in coding with transparent steps, and Gemini wins on long context and multimodality. Includes cost-saving strategies for difficulty-based routing.
BeginnerCursor + Claude Opus 4.1: Build the Ultimate AI Coding Workflow for 2026 (Complete Guide)
This guide is for all developers, teaching you how to configure Claude Opus 4.1 in Cursor IDE and extend Agent capabilities with custom Rules and MCP Servers. Includes complete configuration files, prompt optimization, and troubleshooting. Following this guide can boost coding efficiency by 5-10x.
IntermediateFastAPI + Anthropic: How to Build production FastAPI AI services (2026)
FastAPI + Anthropic Integration Guide 2026 Overview This guide shows you exactly how to build production FastAPI AI services using FastAPI and Anthropic. We cover setup, core integration, and production-ready patterns. Prerequisites - FastAPI env
IntermediateGitHub + Claude: How to Add AI code review to GitHub (2026)
GitHub + Claude Integration Guide 2026 Overview This guide shows you exactly how to add AI code review to GitHub using GitHub and Claude. We cover setup, core integration, and production-ready patterns. Prerequisites - GitHub environment set up -
IntermediateLoop Engineering: The New Paradigm for AI Coding Agents
Loop Engineering is a new paradigm for AI coding agent collaboration, centered on replacing manual agent instructions with automated loops. This article dives into the five core modules (automated scheduling, worktrees, project skills, plugin connectors, sub-agents) and persistent memory, with concrete implementations in Claude Code and Codex, plus Anthropic's internal Skills taxonomy and writing tips. Ideal for intermediate to advanced developers looking to move from manual operations to systematic agent orchestration.
IntermediateMetacognitive Prompting: Complete Guide with Examples 2026
Metacognitive prompting makes an LLM reflect before answering: a five-stage process (understand, preliminary judgment, critical evaluation, decision, confidence), with real prompt examples and how it differs from CoT.
IntermediateOpenAI API vs Anthropic API vs Gemini API: Developer Comparison 2026
Complete developer comparison of OpenAI API, Anthropic API, and Google Gemini API for 2026. Covers authentication, streaming, function calling, structured output, rate limits, and cost comparison.