Cover of Prompt Engineering for Developers
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AI & LLMs

Prompt Engineering for Developers

Reliable patterns, structured outputs and tool use

By Houssam Kodad

PDF 144 pages Beginner English

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€19.95

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About this book

What's inside

Prompt engineering is less about clever wording and more about disciplined software design. This concise, example-driven book teaches developers the patterns that make LLM outputs reliable enough to build on: clear instructions, structured outputs, decomposition and tool use. You'll leave able to write prompts you can test, version and trust inside a real application.

What you'll learn

Skills you'll walk away with

  • Write clear, testable instructions for an LLM
  • Use roles, delimiters and examples effectively
  • Get structured JSON outputs you can parse safely
  • Decompose hard tasks into reliable steps
  • Apply chain-of-thought and self-checking patterns
  • Define tools and function calls cleanly
  • Version, test and iterate on prompts like code

Table of contents

8 chapters
  1. 01

    Prompting as Software Design

    • · Why prompts are interfaces
    • · Determinism and variance
    • · Treating prompts as code
  2. 02

    Anatomy of a Good Prompt

    • · Instructions and constraints
    • · Roles and delimiters
    • · Examples that help
  3. 03

    Structured Outputs

    • · Asking for JSON
    • · Schemas and validation
    • · Recovering from bad output
  4. 04

    Decomposition and Chaining

    • · Breaking down tasks
    • · Prompt chains
    • · Routing between prompts
  5. 05

    Reasoning Patterns

    • · Chain-of-thought
    • · Self-consistency and checking
    • · When reasoning hurts
  6. 06

    Tool Use and Function Calling

    • · Describing tools clearly
    • · Argument validation
    • · Handling tool errors
  7. 07

    Reducing Hallucination

    • · Grounding with context
    • · Asking the model to abstain
    • · Citations and verification
  8. 08

    Testing and Iterating on Prompts

    • · Small evaluation sets
    • · Versioning and diffs
    • · Measuring improvement

This is the full chapter list — exactly what you'll receive in the PDF.