Tag: prompt-engineering
Browse 4 practical software engineering resources tagged with "prompt-engineering". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving prompt-engineering. Each resource is written for engineers who ship real systems, with copy-paste examples and practical trade-offs.
Prompt Engineering
Prompt engineering is the practice of designing inputs to LLMs to get useful, accurate, and safe outputs. It is central to building applications with language models.
The resources below cover zero-shot, few-shot, chain-of-thought, structured output, and prompt templates. Each guide helps you write prompts that produce reliable results.
Every resource includes clear explanations, copy-paste code, and practical warnings. Use them to make informed decisions, avoid production pitfalls, and speed up your delivery. If you are just getting started, read the beginner-friendly articles first; if you are experienced, jump straight to the advanced patterns and architecture guides. New resources are added regularly, so bookmark this page and check back for the latest patterns.
AI LLM Prompt Template Library
A reusable prompt template library for common LLM tasks: summarization, extraction, classification,...
AI Prompt Version Control Template
Version your LLM prompts with eval scores, change history, rollback support, and A/B testing....
Complete Guide to LLM Application Architecture
Build production LLM applications end-to-end. Covers API layers, prompt management, streaming,...
Complete Guide to LLM Prompt Engineering
Write effective prompts for AI models. Covers prompt patterns, few-shot learning, chain-of-thought,...