Create unique program with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging program with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Effective Strategies for Task Management in [Language] Development Projects
Share strategies for effectively managing and prioritizing tasks in a [language] development project.
Maximizing Focus during Language Development: Techniques and Tips for Staying on Task
Suggest ways to minimize distractions and maintain focus during [language] development tasks.
Transitioning from Technical to [Language] Development: Expert Opinion and Tips
Share advice on how to transition from a different technical role to a [language] development role.
Networking Opportunities and Resources for [Language] Developers to Connect with Peers and Employers
Suggest networking opportunities or resources for [language] developers to connect with peers and potential employers.
Creating an Effective and Compelling Software Developer Portfolio: Tips and Advice
Share advice on how to create an effective and compelling software developer portfolio.
Tips for Writing Clean and Self-Documenting Code for Better Code Maintenance
Share advice on how to write clean and self-documenting [language] code that is easy for others to understand and maintain.
Comparing and Recommending [Language] Code Formatting Tools and Linters for [Project Description]
Compare different [language] code formatting tools or linters and recommend one that best suits the given project: [project description].
Balancing Technical Debt and Feature Development in [Language] Projects
Recommend approaches to balancing technical debt and feature development in a [language] project.
Effective Strategies for Mentoring and Coaching Junior Language Developers
Suggest strategies for mentoring and coaching junior [language] developers to help them grow and succeed.
Best Practices for Leading and Managing a Language Development Team
Share best practices for leading and managing a [language] development team.
Generating Opinions on Code Snippets using Libraries and Frameworks
Provide a [language] code snippet that demonstrates the usage of a [library or framework] to build a [specific feature or functionality]: [library or framework name].
How to Create a Boilerplate [Language] Project Structure for a [Type of Application]
Create a boilerplate [language] project structure for a [type of application] that includes necessary configuration files and dependencies: [application description].
Conducting a [Language] Technical Interview: Problem-Solving, Coding and Thought Process
Conduct a mock [language] technical interview, including problem-solving, coding, and explanation of thought process.
Common Language Technical Interview Questions and Solutions
Provide examples of common [language] technical interview questions and their solutions.
Tips for Approaching Language Coding Problems during Technical Interviews
Share tips and advice on how to approach and solve [language] coding problems during a technical interview.
Effective [Language] Coding Challenges for Technical Interview Preparation
Suggest [language] coding exercises or challenges to practice for a technical interview.
Identifying Challenges and Solutions for Interoperability among Different Technologies
Identify potential challenges and solutions for interoperability between the following systems or technologies: [system or technology list].
Comparison of API authentication and authorization mechanisms for a [language] project
Compare different API authentication and authorization mechanisms (e.g., OAuth, JWT, API keys) for the given [language] project: [project description].
Improving API Design: Enhancing Usability, Performance, and Security
Suggest improvements to the following API design to enhance its usability, performance, or security: [API description].
Designing an API for Efficient [Type of Application/Service]: Supporting Essential Operations - ChatGPT
Design an API for a [type of application or service] that supports the following operations: [list of operations].
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.”
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.