Google Gemini AI with Azure DevOps to deploy literally ANYTHING on Cloud | AI Code Generation
Writing code for every cloud resource using Terraform takes time. Isn't it?
What if I tell you you that, we can generate our Cloud Infrastructure code for anything using AI directly from our DevOps Pipeline and deploy that?
Yes, that's absolutely crazy. Users who do not have any infra coding knowledge (might know the resource requirements from application perspective), can write the requirements in English language in the prompt and let AI handle the coding for the Infrastructure Coding.
Google AI Studio or Gemini API can produce Structured Outputs (JSON) based on our Inputs. We can easily pull out the contents from the JSON as per our requirement.
Please let me know your thoughts in the comment section.
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Resources:
Code link of this episode: https://github.com/daslearning-org/de...
Getting Started with Google AI Studio API with Python: • How to use Google AI Studio or Gemini API ...
Azure DevOps API Trigger: • How to Run Azure DevOps Pipeline using API...
Azure DevOps with GCP (Secure File, Variable Groups): • Azure DevOps Variable, Variable Groups, Se...
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Contact me: https://daslearning.in
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Keywords:
Gemini API with Python
Gemini Structured Response
Gemini JSON Response
Gemini API Structured Output
Artificial Intelligence on DevOps
Google AI Studio or Google Gemini Code Generation
Cloud Provisioning Automation using AI
Google AI Code Generation
#ai #devops #googleai #terraform #python #cloudcomputing #artificialintelligence #geminiai #aistudio