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Refactoring [language] Code: Tips to Improve Conciseness and Maintainability

Suggest ways to refactor the given [language] code to make it more concise and maintainable: [code snippet].

refactoring code snippet maintainability

Proposing a Consistent Coding Style for [Language] Code

Propose a consistent coding style for the given [language] code that aligns with best practices: [code snippet].

coding style best practices

Improving The Readability Of The Given [language] Code: Tips and Suggestions

Evaluate the readability of the given [language] code and suggest improvements: [code snippet].

readability code improvements

Tips for Creating CRUD Code and Database Interaction

Generate a CRUD (Create, Read, Update, Delete) [language] code for a [type of application or service] that interacts with a [type of database]: [application or service description].

crud database interaction programming

Top Code Scaffolding Tools for Streamlining Development in Any Language

Suggest a code scaffolding tool or library for the given [language] that helps streamline the development process.

code scaffolding development streamline

How to Generate a Language Code Template for an Application Following Best Practices

Generate a [language] code template for a [type of application or service] that follows best practices: [application or service description].

code template best practices

Evaluating Compatibility and Performance of [Language] Code with [Specific Technology or Platform]

Evaluate the compatibility and performance of the given [language] code when interacting with [specific technology or platform]: [code snippet].

compatibility performance programming

Best Practices for Building and Maintaining a Language Codebase Integrating Third-Party Services or APIs

Recommend best practices for building and maintaining a [language] codebase that integrates with multiple third-party services or APIs.

codebase third-party services apıs

Creating Mapping Solutions for Language Code Interfacing with External Data Source or Format

Propose a data transformation or mapping solution for the given [language] code to interface with [external data source or format]: [code snippet].

data transformation mapping solution language code

Effective Strategies for Integrating [Language] Code with External Systems or API: An Opinion

Suggest a strategy for integrating the given [language] code with [external system or API]: [code snippet].

integration programming apı

Using [language] for API Interaction: A Quick Guide

Write a [language] code to interact with the following API: [API documentation or reference].

apı language programming

Best Practices for Structuring a RESTful API in [Language], Including [Code Snippet]

Propose a RESTful API structure for the given [language] code that follows best practices: [code snippet].

structured restful apı best practices programming

How to Write an Effective API Reference for Any Programming Language

Write an API reference for the following [language] code: [code snippet].

apı reference programming language code snippet

Navigating the Codebase and Development Process of Open-Source Project in [Language]

Provide guidance on navigating the codebase and development process of the given [language] open-source project: [repository URL or project description].

open-source codebase development

Effective Techniques for Remote Pair Programming and Code Review Sessions Among Distributed Developers

Propose techniques for remote pair programming and code review sessions among distributed [language] developers.

remote pair programming code review distributed developers

Best Encryption and Hashing Algorithms for Securing Sensitive Data in [Language] Code: [Code Snippet]

Suggest encryption or hashing algorithms to secure sensitive data in the given [language] code: [code snippet].

programming and data

Analyzing the Security of [Language] Code in Compliance with Specific Industry Standards: [Code Snippet]

Analyze the security of the given [language] code in the context of [specific industry standards or regulations]: [code snippet].

security compliance programming

Improving [language] Code Security Against Common Threats: Proposed Changes in Snapshots

Propose changes to the given [language] code to improve its resistance to common security threats (e.g., SQL injection, XSS, CSRF): [code snippet].

code security common threats proposed changes

How to Evaluate Security of a Programming Code and Suggest Improvements

Evaluate the security of the given [language] code and suggest improvements: [code snippet].

security code improvements

Analyzing [Language] Code Performance in Different Environments and Hardware Configurations

Analyze the performance of the following [language] code in different environments or hardware configurations: [code snippet].

code performance hardware configurations programming

What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

Become a prompt researcher instead of engineer

If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?

Become a prompt researcher instead of engineer

The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.