Chat GPT For Programming: 100+ Coding Prompts For Chat GPT

OpenAI has created a powerful tool called ChatGPT, which uses vast amounts of text data to develop a language that sounds like it’s coming from a human. It can be used for things like translating languages and answering questions.

However, the incredible AI chatbot can, among other things, help programmers with their coding issues by generating solutions on the spot.

ChatGPT can write codes for free, but it’s best not to ask it to make up codes unless you know exactly what you’re looking for. Do not expect the model to do your work for you in its current form, as it is too new and naive, but it is upgrading and learning day by day.

ChatGPT can be a valuable tool for both finding errors in your own code and quickly generating simple coding programs. Instead of spending hours searching for solutions on Stack Overflow, ChatGPT can complete the task in minutes.

In any case, if you’re looking for a way to get your coding projects done 20 times faster, here are some of the best Chat GPT coding prompts you’ll find.

Best Coding Prompts For Chat GPT

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:

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

Bug detection:

11. Locate any logic errors in the following [language] code snippet: [code snippet].
12. Identify potential performance issues in the given [language] code: [code snippet].
13. Find any resource leaks in the following [language] code and suggest fixes: [code snippet].
14. Check for potential deadlock issues in the given [language] code: [code snippet].
15. Review the following [language] code for potential SQL injection vulnerabilities: [code snippet].

Code review:

16. Analyze the given [language] code for code smells and suggest improvements: [code snippet].
17. Check the following [language] code for proper logging and monitoring practices: [code snippet].
18. Review the given [language] code for potential scalability issues: [code snippet].
19. Assess the test coverage of the following [language] code: [code snippet].
20. Evaluate the given [language] code for compatibility with [platform or technology]: [code snippet].

Natural language processing:

21. Perform text classification on the following text: [text sample].
22. Generate a summary of the following video transcript: [text sample].
23. Analyze the sentiment of the following product reviews: [text sample].
24. Identify the key phrases in the following social media posts: [text sample].
25. Extract information from the following structured text: [text sample].

API documentation generation:

26. Create an API documentation template for the following [language] code: [code snippet].
27. Generate a user guide for the given [language] RESTful API: [code snippet].
28. Document the functionality and usage of the following [language] command-line tool: [code snippet].
29. Create an API reference for the given [language] library or framework: [code snippet].
30. Produce a tutorial for using the following [language] API with example code: [code snippet].

Query optimization:

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

Series query optimization:

35. Optimize the following database query for a time-series database (e.g., InfluxDB, TimescaleDB): [time-series query].
36. Analyze the given time-series query for any potential performance issues: [time-series query].
37. Suggest indexing or partitioning strategies for the following time-series database query: [time-series query].
38. 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:

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

User interface design:

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

Automated testing:

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

Code refactoring:

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

Algorithm development:

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

Code translation:

64. Translate the following [source language] code that uses [design pattern] to [target language]: [code snippet].
65. Convert the given [source language] data processing pipeline to [target language]: [code snippet].
66. Migrate the following [source language] code that interacts with [database or service] to [target language] with a similar database or service: [code snippet].
67. Rewrite the given [source language] data structure implementation in [target language] with equivalent performance characteristics: [code snippet].
68. Adapt the following [source language] code snippet to [target language] while adhering to [target language’s framework or library conventions]: [code snippet].
69. Translate the given [source language] method that performs [specific task or operation] to [target language]: [code snippet].

Personalized learning:

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

Technical writing:

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

Requirement analysis:

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

Networking and security:

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

Data visualization:

90. Generate a data visualization for the following dataset: [dataset description or URL].
91. Suggest improvements to the existing data visualization for better readability and understanding: [visualization description or URL].
92. Design a dashboard or data visualization that highlights [key insights or patterns] in the given dataset: [dataset description or URL].
93. Create a data visualization in [language or library] that allows users to interact with the data and explore [specific relationships or trends].
94. 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:

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

DevOps and deployment:

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

Chat GPT Coding Prompts Examples

With Chat GPT’s ability to generate code quickly and accurately, it can help developers solve coding problems and find bugs more efficiently.

Its ability to act as a coding teacher, by providing explanations and demonstrations of specific coding concepts and techniques, makes it an invaluable resource for developers of all skill levels.

However, we would highly recommend that as ChatGPT is still a relatively new model and may lack the experience and understanding of the context that human coders possess. As such, it’s best used as a tool to assist with coding tasks rather than a replacement for human effort.

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