The article discusses the author's experience with DeepSeek, an AI tool for coding that facilitates the generation of code snippets and functions. Initially skeptical about its reliability, the author learned that the tool performs best with clear and specific prompts. Demonstrating this with examples, the author emphasizes the importance of context and detailed instructions when using DeepSeek to produce accurate and relevant code. Overall, the author shares valuable insights on crafting effective prompts for better results in coding tasks.
When I began, I was both excited and a bit skeptical. Would the generated code be reliable? Yet, over time, I noticed that DeepSeek worked best when I gave it clear and precise instructions.
If I typed something more specific, such as, 'Create a function in Python that reads a JSON file with user data and returns a dictionary of valid users...' the result was surprisingly accurate.
I also discovered that context was crucial. If I asked DeepSeek for code without explaining what I wanted to achieve... it would guess based on limited data.
One of the biggest lessons I learned is that DeepSeek is only as good as the instructions I give it.
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