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AI Development Hub

A curated collection of best practices for modern AI development -- covering LLM usage, agent architectures, prompt engineering, and tooling.

Agent Development

LLM Implementation Patterns

Tool-Specific Guides

- **Claude Development** - [Claude Code Complete Guide](../generative-ai/claude/claude-code-complete-guide.md) - [Advanced Hooks](../generative-ai/claude/claude-code-hooks-guide.md) - [Custom Command Design](../generative-ai/claude/claude-code-custom-slash-commands-design-guide.md) - **GitHub Copilot** - [Custom Instructions](../generative-ai/github-copilot/github-copilot-custom-instructions-guide.md) - [applyTo Patterns](../generative-ai/github-copilot/github-copilot-applyto-pattern-guide.md) - **ChatGPT / Codex** - [Codex CLI Overview](../generative-ai/chatgpt/codex-cli-overview-and-quickstart.md) - [Claude Code Comparison](../generative-ai/chatgpt/codex-cli-vs-claude-code.md) - [No-Approval Execution Guide](../generative-ai/chatgpt/codex-cli-approval-modes-no-approval.md) - **Other Tools** - [Amazon Kiro IDE](../generative-ai/amazon-kiro/amazon-kiro-agentic-ide-2025.md) - [Grok 4 Complete Guide](../generative-ai/grok/grok-4-comprehensive-guide.md)

Methodologies & Practices

Prompt Engineering

  • Effective prompt design patterns
  • Context management and chaining techniques
  • Few-shot / Zero-shot learning

Development Culture

Implementation Recipes

Basics

# Basic text generation with an LLM
from anthropic import Anthropic

client = Anthropic()
response = client.messages.create(
    model="claude-3-opus-20240229",
    messages=[{"role": "user", "content": "Hello!"}]
)

Intermediate Patterns

  • Streaming responses
  • Error handling and retries
  • Rate-limit management

Advanced Techniques

  • Custom tool implementation
  • Agent chains
  • Memory management and context optimization

Model Comparison

ModelCode GenReasoningSpeedCost
Claude Opus 4.1⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐$$$
GPT-4o⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐$$
Gemini Pro⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐$
Llama 3⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐Free

Security Best Practices

Essential

  • Secure API key management
  • Input validation and sanitization
  • Rate limiting and access control
  • Audit logging
  • Cost monitoring and alerts
  • Privacy safeguards

#ai-development | #llm | #agents | #prompt-engineering | #claude

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