AI Development Tools

Programming language reference with syntax and patterns, plus AI prompt engineering templates for code generation, debugging, and more.

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Choose Programming Language

JavaScript

Web development powerhouse

variables

let, const, var

functions

function name() {} or () => {}

loops

for, while, forEach, map

async

async/await, Promise

Essential AI Development Tools

OpenAI GPT
GPT models, embeddings, fine-tuning
AI Development
Anthropic Claude
Advanced reasoning and code generation
AI Development
GitHub Copilot
AI pair programming
Dev Tools
Cursor
AI-powered code editor
Dev Tools
TensorFlow
End-to-end ML platform
Machine Learning
PyTorch
Dynamic neural networks
Machine Learning

About AI Development Tools

AI Cheat Sheet

Quick reference for 6 popular programming languages including JavaScript, Python, TypeScript, Java, Go, and Rust. Browse syntax guides and common patterns for each language, plus essential AI development tools.

Prompt Engineering

Generate effective prompts for AI coding assistants like ChatGPT, Claude, and GitHub Copilot. Choose from templates for code generation, code review, debugging, testing, and documentation across 10 programming languages.

Master AI-Assisted Development

Learn to write effective prompts that get better results from AI tools. Use the cheat sheet for quick syntax reference and the prompt generator for customized AI coding assistance.

Frequently Asked Questions

What is prompt engineering?

Prompt engineering is the practice of designing and optimizing inputs to AI models like ChatGPT and Claude to get better outputs. It involves structuring requests with context, examples, and constraints to guide the AI toward desired responses.

How do I write effective prompts for ChatGPT?

Be specific about language and framework, provide project context, specify output format, include examples when possible, break complex tasks into steps, and ask AI to "think step by step" for complex problems.

What is the difference between ChatGPT and GitHub Copilot?

ChatGPT is a conversational AI for explanations, debugging, and code generation through chat. GitHub Copilot is an IDE extension providing real-time code suggestions as you type. Use ChatGPT for discussions, Copilot for inline completion.

Which AI tool is best for code review?

Claude excels at code review with strong analytical capabilities and large context window. It can analyze entire files, identify security issues, and suggest improvements. ChatGPT is also effective for detailed code explanations.

How do I use AI to generate unit tests?

Use our testing prompt template: provide the function code, specify the testing framework (Jest, pytest, etc.), and ask for comprehensive tests including edge cases, error conditions, and mock objects.

What is chain-of-thought prompting?

Chain-of-thought prompting asks AI to "think step by step" before answering. This improves accuracy for complex problems by making the AI show its reasoning process. Add "Let's think through this step by step" to your prompts.

How can AI help with debugging code?

Share your code with the error message and ask AI to identify the root cause, explain why the error occurs, suggest fixes, and recommend preventive measures. Provide context about your environment.

What programming languages does AI coding assistance support?

Major AI tools support all popular languages: JavaScript, Python, TypeScript, Java, C#, Go, Rust, PHP, Ruby, Swift, Kotlin, and more. Our cheat sheet covers 6 languages with syntax and patterns.

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