AI Prompt Engineering

A practical open-source guide to designing, structuring, and improving prompts for AI systems.

Built and maintained by DEEPBYTO.

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Overview

AI Prompt Engineering is an open-source learning resource focused on practical prompt engineering.

The repository explains how to create effective prompts, improve AI responses, structure instructions, and apply prompting techniques to real-world tasks.

It is designed for:

• Developers
• Students
• Researchers
• AI builders
• Businesses
• Content creators
• Anyone learning to work effectively with AI

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What You'll Learn

Fundamentals

Learn the core components of effective prompts:

• Prompt structure
• Instructions
• Context
• Constraints
• Output requirements
• Prompt specificity
• Examples and patterns

Prompting Techniques

Explore practical techniques for improving AI responses:

• Zero-shot prompting
• One-shot prompting
• Few-shot prompting
• Role prompting
• Task decomposition
• Step-by-step prompting
• Structured outputs
• Iterative prompting

Prompt Patterns

Apply prompt engineering to practical tasks:

• Coding
• Debugging
• Refactoring
• Testing
• Research
• Summarization
• Analysis
• Decision-making
• Classification

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Repository Structure

AI-Prompt-Engineering/
│
├── 01-fundamentals/
│   ├── 01-introduction.md
│   ├── 02-anatomy-of-a-prompt.md
│   ├── 03-instructions.md
│   └── ...
│
├── 02-techniques/
│   ├── 01-zero-shot.md
│   ├── 02-one-shot.md
│   ├── 03-few-shot.md
│   └── ...
│
├── 03-patterns/
│   ├── 01-coding.md
│   ├── 02-debugging.md
│   ├── 03-refactoring.md
│   ├── 04-testing.md
│   ├── 05-research.md
│   ├── 06-summarization.md
│   ├── 07-analysis.md
│   ├── 08-decision-making.md
│   └── 09-classification.md
│
└── README.md