Building enriched Prompts

Building Correct Prompts

One of the issue that is keeping me a bit concerned about my ability to build agents is around prompt engineering. Reading the examples particularly in the multi-agent module 5 course, I realized that to make LLM write the efficient code to execute multi-step instructions, one needs to know how to write a good prompt. I am wondering if we should be first doing a prompt engineering course before we really start building AI agents or we simply use reflection pattern to keep enriching the prompts based on the output?

Hi. Welcome to the community. I think one can do both same time. Take courses and experiment at the same time. The practice will make one better in prompting and the implementation in general. Also, reading other people’s code on Github can help in improving one’s skills.

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