CloudForge AI: Build Cloud Architectures with Google AI Studio & Gemini

This post details CloudForge AI, an AI-powered tool that designs cloud architectures based on natural language descriptions of application requirements. The system generates a comprehensive cloud architecture, including components, security measures, scalability recommendations, observability insights, cost estimates, and Terraform starter code.

CloudForge AI operates within the Google AI Studio environment, leveraging the Gemini AI model. The user interface is built using a modern React + TypeScript framework. Key functionalities include AI-driven architecture generation, interactive visualization, security audits, high availability and scalability analysis, observability recommendations, cost estimation, component breakdown, Terraform starter code, architecture export, historical tracking of changes, and offline sample architectures for demonstrations.

One of the primary prompts used in Google AI Studio instructed Gemini to create a production-style AI cloud architecture designer. The prompt asked Gemini to convert a user's natural language description of an application into a structured cloud architecture, incorporating components, relationships, security analysis, HA and scalability recommendations, observability recommendations, cost estimates, and Terraform starter code.

The application offers a live demonstration at https://cloudforge.ai.studio/. Users can input natural language requirements, which are then analyzed by Gemini to produce a structured architecture, displayed in a series of comparison tables showing security, HA/Scale, and observability considerations. The resulting architecture can be visualized interactively, with export and historical tracking features.

The application also provides rough cost estimates and a Terraform starter kit to help implement the designed architecture.