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A conversation with your architecture
- Software and architecture diagrams are critical tools as they help developers and stakeholders understand complex systems.
- A diagram can help bridge the gap between technical and non-technical stakeholders.
- It’s important to make sure your diagram has the right level of detail for its purpose and audience.
- Using generative AI can help you to better understand diagrams, gain deeper insights, make decisions, generate diagrams, and even generate infrastructure code.
- We can have a conversation with our diagrams, gain insights, make decisions, and use real-time data and best practices from our company, using a demo app built with Python using the Amazon Bedrock Converse API.
- There are approaches and tools to manage diagram challenges, but generative AI opens up more possibilities for visualizing our systems, making decisions, implementation, and getting customers using our software earlier.
- Generative AI can be used as another tool in our toolbox with diagrams to bring real-time data into our app and gather insights based on our own internal data, like our company's best practices or policies.
- To support this, we use Amazon Bedrock Knowledge Base to provide contextual information to the model.
- Codes and assets are available to work with own architecture diagrams through code, workshop or from other platforms.
- Using generative AI with diagrams helps developers work with complex systems, make informed decisions, and implement them for better customer experiences.
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