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Artificial Intelligence

ChatGPT Prompts for Coding

Best Coding Prompts For ChatGPT

Generate code:

  1. Create a [language] script to parse [file format] and extract [information] with the following requirements: [requirements list].
  2. Develop a [language] microservice for [domain] that includes endpoints for [operations list] and adheres to [design pattern].
  3. Write a [language] function to filter [data structure] based on [condition] with the following inputs: [input variables] and expected output: [output description].
  4. Design a [language] algorithm to solve [problem] using [strategy or technique].
  5. Implement a [language] function that handles [task] asynchronously with the following inputs: [input variables] and expected output: [output description].

Code completion:

  1. Complete the [language] code to parse [file format] and extract [information]: [code snippet].
  1. Finish the [language] implementation of [design pattern] for [use case]: [code snippet].
  2. Fill in the missing [language] code to implement a caching mechanism for the following function: [code snippet].
  3. Complete the [language] code to convert [data structure] into [output format]: [code snippet].
  4. Finish the [language] implementation of a multithreading solution for [problem]: [code snippet].

Bug detection Prompts:

  1. Locate any logic errors in the following [language] code snippet: [code snippet].
  2. Identify potential performance issues in the given [language] code: [code snippet].
  3. Find any resource leaks in the following [language] code and suggest fixes: [code snippet].
  4. Check for potential deadlock issues in the given [language] code: [code snippet].
  5. Review the following [language] code for potential SQL injection vulnerabilities: [code snippet].

Code review:

  1. Analyze the given [language] code for code smells and suggest improvements: [code snippet].
  2. Check the following [language] code for proper logging and monitoring practices: [code snippet].
  3. Review the given [language] code for potential scalability issues: [code snippet].
  4. Assess the test coverage of the following [language] code: [code snippet].
  5. Evaluate the given [language] code for compatibility with [platform or technology]: [code snippet].

Natural language processing:

  1. Perform text classification on the following text: [text sample].
  2. Generate a summary of the following video transcript: [text sample].
  3. Analyze the sentiment of the following product reviews: [text sample].
  4. Identify the key phrases in the following social media posts: [text sample].
  5. Extract information from the following structured text: [text sample].

API documentation generation:

  1. Create an API documentation template for the following [language] code: [code snippet].
  2. Generate a user guide for the given [language] RESTful API: [code snippet].
  3. Document the functionality and usage of the following [language] command-line tool: [code snippet].
  4. Create an API reference for the given [language] library or framework: [code snippet].
  5. Produce a tutorial for using the following [language] API with example code: [code snippet].

Query optimization:

  1. Optimize the following GraphQL query for better performance: [GraphQL query].
  2. Analyze the given SQL query for proper indexing: [SQL query].
  3. Suggest improvements to the following database schema for better query performance: [schema description].
  4. Compare the performance of the given NoSQL query using different NoSQL databases (e.g., MongoDB, Cassandra, Couchbase): [NoSQL query].

Series query optimization:

  1. Optimize the following database query for a time-series database (e.g., InfluxDB, TimescaleDB): [time-series query].
  2. Analyze the given time-series query for any potential performance issues: [time-series query].
  3. Suggest indexing or partitioning strategies for the following time-series database query: [time-series query].
  4. Compare the performance of the given time-series query using different time-series databases (e.g., InfluxDB, TimescaleDB, OpenTSDB): [time-series query].

Chatbots and conversational AI:

  1. Design a conversational flow for a reservation chatbot that handles booking [type of reservation].
  2. Create a chatbot interaction that helps users compare and select [products or services] based on their needs.
  3. Develop a conversational script for a chatbot that provides information about [topic or domain].
  4. Implement a chatbot that can understand and respond to user intents in [specific context or domain].
  5. Design a chatbot that can provide personalized recommendations for [product or service] based on user preferences.

User interface design:

  1. Generate a UI mockup for a [web/mobile] dashboard that visualizes [data or metrics].
  2. Suggest improvements to the existing user interface of [app or website] to enhance user engagement.
  3. Design a user interface for a [web/mobile] app that focuses on accessibility and inclusivity.
  4. Create a wireframe for a [web/mobile] app that facilitates user collaboration for [specific use case].
  5. Design a UI component library for a [web/mobile] app that follows [design system or style guide] and supports [theme or customization].

Automated Testing Prompts:

  1. Write a test script for the given [language] code that covers [functional or non-functional] testing: [code snippet].
  2. Generate test scenarios for the following [language] class or module: [code snippet].
  3. Design a performance testing strategy for a [web/mobile] app that focuses on [latency, throughput, or resource usage].
  4. Create a test suite for a [language] library or framework that validates its functionality and stability.
  5. Develop an end-to-end testing strategy for a [web/mobile] app that covers critical user workflows.

Code refactoring:

  1. Suggest refactoring improvements for the following [language] code to enhance testability: [code snippet].
  2. Identify opportunities to apply [architecture pattern] in the given [language] code: [code snippet].
  3. Optimize the following [language] code for lower memory usage: [code snippet].
  4. Refactor the given [language] code to improve its error handling and resilience: [code snippet].
  5. Propose changes to the given [language] code to follow [SOLID or other design principles]: [code snippet].

Algorithm development:

  1. Design a heuristic algorithm to solve the following problem: [problem description].
  2. Improve the accuracy of the given machine learning algorithm for [specific use case]: [algorithm or pseudocode].
  3. Develop a streaming algorithm that can process [data or events] in real-time for [specific task or operation].
  4. Propose a machine learning or AI-based solution to improve the performance of the following algorithm: [algorithm or pseudocode].
  5. Evaluate the trade-offs of the given algorithm in terms of [accuracy, performance, or resource usage]: [algorithm or pseudocode].

Code translation:

  1. Translate the following [source language] code that uses [design pattern] to [target language]: [code snippet].
  2. Convert the given [source language] data processing pipeline to [target language]: [code snippet].
  3. Migrate the following [source language] code that interacts with [database or service] to [target language] with a similar database or service: [code snippet].
  4. Rewrite the given [source language] data structure implementation in [target language] with equivalent performance characteristics: [code snippet].
  5. Adapt the following [source language] code snippet to [target language] while adhering to [target languageā€™s framework or library conventions]: [code snippet].
  6. Translate the given [source language] method that performs [specific task or operation] to [target language]: [code snippet].

Personalized learning:

  1. Curate a list of resources to learn [programming language or technology] based on my preferred learning style: [visual/auditory/kinesthetic].
  2. Recommend a learning path to become proficient in [specific programming domain or technology] considering my time constraints and learning goals.
  3. Suggest coding challenges or competitions to help me improve my skills in [programming language or technology].
  4. Recommend podcasts, videos, or other multimedia resources that focus on [specific topic or concept] in [programming language or technology].
  5. Identify areas of improvement in my coding skills based on the following [language] project or repository: [URL or project description].

Technical writing:

  1. Write a tutorial on how to integrate [library or service] with [programming language or technology].
  2. Create a step-by-step guide on deploying and scaling [application or service] in [cloud or platform].
  3. Draft a README file for a [programming language or technology] project that includes contribution guidelines and project roadmap.
  4. Write a clear and concise explanation of the [programming concept or technique] and its applications in [industry or domain].
  5. Create a comparison or evaluation guide for different [tools, libraries, or frameworks] in [programming language or technology].

Requirement analysis:

  1. Interpret the following project requirements and suggest a technology stack or tools: [requirements description].
  2. Analyze the given project requirements and propose a detailed project plan with milestones and deliverables: [requirements description].
  3. Evaluate the feasibility and potential risks of the following project requirements: [requirements description].
  4. Suggest changes or improvements to the given project requirements to enhance [performance, maintainability, or user experience]: [requirements description].
  5. Convert the following project requirements into user stories or use cases: [requirements description].

Networking and security:

  1. Analyze the given network architecture or design for potential security vulnerabilities: [architecture or design description].
  2. Write a secure [language] function or module that performs [specific task or operation] while preventing [security threat or vulnerability].
  3. Suggest improvements to the following [language] code or configuration to enhance its network performance or security: [code snippet].
  4. Design a secure and efficient protocol for [specific use case or application].
  5. Evaluate the security of the given [language] code or configuration when interacting with [external service or API]: [code snippet].

Data visualization:

  1. Generate a data visualization for the following dataset: [dataset description or URL].
  2. Suggest improvements to the existing data visualization for better readability and understanding: [visualization description or URL].
  3. Design a dashboard or data visualization that highlights [key insights or patterns] in the given dataset: [dataset description or URL].
  4. Create a data visualization in [language or library] that allows users to interact with the data and explore [specific relationships or trends].
  5. Develop a data visualization strategy for [web/mobile] app that presents [complex or large-scale] data in a user-friendly manner.

Machine learning and AI:

  1. Suggest a machine learning algorithm or model to solve the problem: [problem description].
  2. Improve the performance of the given machine learning model for [specific use case]: [model or code snippet].
  3. Design a machine learning pipeline for a [domain] application that includes [data preprocessing, feature extraction, model training, and evaluation].
  4. Propose a deep learning architecture for [specific task or operation] considering [constraints or requirements].

DevOps and deployment:

  1. Write a [tool or script] for automating the deployment of a [language or technology] application to [cloud or platform].
  2. Suggest improvements to the existing CI/CD pipeline for a [language or technology] project: [pipeline description or URL].
  3. Design a monitoring and alerting strategy for a [web/mobile] app deployed on [cloud or platform].
  4. Create a Dockerfile or containerization strategy for a [language or technology] application.
  5. Propose a scaling strategy for a [web/mobile] app to handle [large-scale traffic or high-throughput] on [cloud or platform].

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