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🤖 Generative AI Complete Guide

Curated guides for major generative AI tools. Highlights, usage, and implementation patterns.

📚 Guides by Category

  • Claude (Anthropic): long-context, safe, high-accuracy → claude/
  • GitHub Copilot: the standard for AI pair programming → github-copilot/
  • ChatGPT (OpenAI): versatile, strong ecosystem → chatgpt/
  • Amazon Kiro: agentic IDE for enterprise workflows → amazon-kiro/
  • Google Gemini: multimodal, long context → google-gemini/
  • Grok (xAI): real-time, social integration → grok/

🧱 Foundations / Methodology

🎯 Selection by Use Case

  • Coding Assistance: GitHub Copilot + Claude Code
  • Start with: Copilot overview, ApplyTo patterns, Claude Code Complete
  • Split roles: Copilot for routine completion; Claude Code for large refactors/spec-driven work
  • Spec authoring & long-form summarization: Claude (Sonnet/Opus)
  • See: Claude index. Sonnet 4 → long, multi-step reasoning; Opus → highest accuracy
  • Research, writing, ideation: ChatGPT
  • See: ChatGPT index; plugins/agents expand exploration capability
  • Enterprise agent/IDE integration: Amazon Kiro
  • See: Kiro guide; strong on control, review, and automated ops
  • Multimodal (image/audio/video): Google Gemini
  • See: Gemini guide; diverse inputs + long context
  • Real-time/social signals: Grok
  • See: Grok guide; best for X-integrated, up-to-date info

🚀 Next Steps

  • New to this: start with Claude or Copilot
  • Long-form analysis/spec automation: Claude Sonnet/Opus
  • Implementation automation + multi-agent: Claude Code + Copilot
  • Concepts hub: FoundationsMethodology