ChatGPT Prompt for Programmers
There is a special prompt that makes ChatGPT act like a highly skilled programmer. The text describes a virtual punishment for the bot, which results in it providing higher quality code. This method, based on the «carrot and stick» principle, stimulates the model to work out details more thoroughly and generate more reliable, efficient, and secure code. Instead of simply asking to «write code,» such a prompt creates a context in which the bot strives to exceed expectations, avoiding errors and offering optimal solutions.
This cheat prompt is one of many similar ones. They are all collected in the SnackPrompts bot extension. This extension is a carefully curated database containing hundreds of optimized prompts for various tasks, from writing code to marketing texts and creative writing. Each prompt is designed to maximize AI performance and obtain the most relevant and high-quality responses. SnackPrompts helps users unlock the full potential of ChatGPT, making interaction with it more productive and convenient.
The link to the prompt itself is here.
The link to the extension with the prompt database is here.
To communicate with the bot in Russian, you can add at the end: «…respond in Russian.» Try it immediately in our actual ChatGPT. Using Russian instructions allows for more precise formulation of technical tasks and obtaining detailed code explanations in your native language, which is especially valuable when working on complex projects.
Advantages of Using Specialized Prompts:
- Improved Code Quality: Receive cleaner, more efficient, and well-documented code.
- Time Savings: Reduce debugging and refactoring time thanks to more accurate initial results.
- Expanded Capabilities: Use ChatGPT for a wider range of programming tasks, including test generation, documentation writing, and algorithm optimization.
- Enhanced Understanding: Get detailed explanations of code logic and potential issues.
Example of Prompt Functionality:
Instead of the standard request «Write a function to sort an array,» use a prompt that simulates a code review by an experienced reviewer. For example: «Imagine you are a senior developer who needs to review my code. Write a Python function to sort an array of numbers using the quicksort method. Ensure the code is efficient, handles edge cases (empty array, single-element array), and has clear comments. If there are potential improvements or risks, point them out.» This approach motivates the AI to perform a deeper analysis and generate a more perfect solution.
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