Create unique bug with ChatGPT

Search and store tool for Chat GPT Prompt

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

Analyzing a Code to Find Mistakes

Help me find mistakes in the following code <paste code below>.

code programming mistakes debugging

Five Chat GPT Features That Aid Testing and Debugging

Create a list of five Chat GPT features that aid testing and debugging.

chat gpt testing debugging features aid

Efficient Bug Detection using GPT for Stripe API Payment Data Handling

- Please find the bug in the code below. This is what it should be doing: - 1. Fetch the response from the stripe API for payments received last month. - 2. Parse the response json into an arrays with all transactions. - 3. Traverse the array to group all transactions from the same entity, and sums their amounts. The result is stored in a different array. - 4. Sort the resultin...

stripe apı payments json bug detection

Five Chat GPT Features that Aid Testing and Debugging

Create a list of five Chat GPT features that aid testing and debugging.

chat gpt testing debugging features list

How to Find and Fix Memory Leaks in [Language] Code

Find any memory leaks in the following [language] code and suggest fixes: [code snippet].

memory leaks debugging code fixes

Identifying Potential Bugs in [Language] Code Snippet: Tips and Techniques

Identify any potential bugs in the following [language] code snippet: [code snippet].

potential bugs code snippet programming

Analyzing Content to Generate an Opinion

Find the bug with this code: <post code below>

opinion content code bug

Five Chat GPT Debugging-Friendly Features

Create a list of five Chat GPT debugging-friendly features.

chat gpt debugging features list

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.