Create unique codebase with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging codebase with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

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 apis

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

Identifying Opportunities for Applying Design Patterns on Codebase: Tips and Strategies

Identify opportunities to apply the [design pattern] in the following [language] codebase: [repository URL or codebase description].

design pattern codebase programming

Understanding Coding Styles and Conventions in a given codebase

Generate a summary of the coding styles and conventions used in the given codebase: [repository URL or codebase description].

coding styles conventions codebase

Analyzing a Codebase for Improvement and Refactoring: A Guide

Analyze the codebase to identify potential areas of improvement or refactoring: [repository URL or codebase description].

codebase improvement refactoring

Identifying Trends and Patterns in Codebase Development

Identify trends or patterns in the development history of the given codebase: [repository URL or codebase description].

codebase development trends

Generating a Report on Codebase Complexity and Maintainability

Generate a report on the complexity and maintainability of the following codebase: [repository URL or codebase description].

codebase complexity maintainability

How to Analyze a Codebase to Identify Frequently Used Libraries or Dependencies

Analyze the given codebase to identify frequently used libraries or dependencies: [repository URL or codebase description].

codebase libraries dependencies

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.