This blog post introduces ChatAWS, a ChatGPT plugin that simplifies the deployment of AWS resources through chat interactions. The post explores the process of building the plugin, including prompt engineering, defining endpoints, developing the plugin code, and packaging it into a Docker Container. Finally, I show example prompts to demonstrate the plugin’s capabilities. ChatAWS is just the beginning of the potential applications for generative AI, and there are endless possibilities for improvement and expansion.

Builders are increasingly adopting ChatGPT for a wide range of tasks, from generating code to crafting emails and providing helpful guidance. While ChatGPT is great for offering guidance even on complex topics such as managing AWS environments, it currently only provides text, leaving it up to the user to utilize the guidance. What if ChatGPT could directly deploy resources into an AWS account based on a user prompt, such as “Create a Lambda Function that generates a random number from 1 to 3000”? That’s where the idea for my ChatAWS plugin was born.

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