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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].
Tips on How to Produce a Clear and Concise Overview of the Architecture and Design of a Project/System in [Language]
Produce a clear and concise overview of the architecture and design of the given [language] project or system: [project description].
Creating an Effective FAQ Section for Your [Language] Project or Tool: Tips and Best Practices
Develop a FAQ section that addresses common questions and issues related to the given [language] project or tool.
How to Create a User Guide for Your Software or Tool: Installation, Configuration, and Basic Usage
Create a user guide for the given [software or tool] that covers installation, configuration, and basic usage.
A Beginner's Guide to Preparing and Submitting a Pull Request for Open-Source Projects
Explain how to prepare and submit a pull request for the given [language] open-source project: [repository URL or project description].
Tips for Successful Contributions to [Language] Open-Source Projects
Recommend best practices for contributing to [language] open-source projects as a new or inexperienced contributor.
Generating Open Issues or Feature Requests Opinion for a Language Specific Open-Source Project
Suggest open issues or feature requests in the following [language] open-source project that match my skill set: [repository URL or project description].
Identifying Open-Source Language Projects for Developers
Identify suitable open-source [language] projects for a developer with [specific skills or interests].
Tips for Organizing & Facilitating Effective Remote Meetings for Language Development Teams
Share tips for organizing and facilitating effective remote meetings for a [language] development team.
Effective Ways to Keep Remote Language Developers Motivated and Engaged During Long-Term Projects
Suggest ways to maintain team morale and motivation among remote [language] developers during a long-term project.
Effective Workflow for Task Management in Remote Language Development Team
Recommend a workflow for managing and prioritizing tasks for a remote [language] development team.
Proposing Strategies for Effective Communication and Coordination for Distributed Team Members on [Language] Project
Propose strategies to improve communication and coordination between distributed team members working on a [language] project.
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.