Prompt Engineering for Developers: The Definitive Guide
Prompt Engineering for Developers: The Definitive Guide - Master core prompt engineering techniques and advanced patterns to build real-world AI-powered solutions and automations
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What you'll learn
- Understand core LLM mechanics like tokenization and context windows to build efficient and cost-effective solutions.
- Apply advanced prompt engineering patterns like Persona, Chain of Thought, and Self-Critique to solve complex problems.
- Engineer prompts that ensure reliable, machine-readable output formats like JSON for use in automated systems.
- Implement function calling to allow your AI application to execute external tools like linters and security scanners.
- Calculate and manage API costs for complex, multi-turn AI conversations and workflows.
- Write provider-agnostic code with LiteLLM that can seamlessly switch between OpenAI, Anthropic, and local models.
- Leverage AI coding agents like GitHub Copilot to accelerate your software development workflow from scaffolding to testing.
- Build a complete, AI-powered CLI tool from scratch that generates smart commit messages and performs code reviews.
- Write comprehensive unit tests for AI-integrated code by effectively mocking external API calls and user input.
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