06 - Prompt Engineering at Scale: Techniques and Best Practices

Complete guide to Prompt Engineering at Scale: Techniques and Best Practices: architecture, practical implementation and best practices for developers and technical teams.

What you'll learn

• Chain-of-Thought significantly improves accuracy on complex tasks
• Structured output (Pydantic) eliminates parsing errors and guarantees format
• Prompts must be versioned, tested and deployed like any code
• A/B testing with statistical significance before promoting new versions
• LLM-as-judge scales quality evaluation at reduced cost

This article is part of the AI Engineering series on federicocalo.dev.

Read the full article

The complete article (16 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 06 - Prompt Engineering at Scale: Techniques and Best Practices

https://federicocalo.dev/en/blog/prompt-engineering-scale-techniques-best-practices

By Federico Calò — Software Developer & Technical Writer