Build Your Own CodeBeasts with Agentic AI

Join Developer Relations Engineer David Jones-Gilardi where he demonstrates how to create unique, visually stunning CodeBeasts based on your GitHub activity and O’Reilly animals! Inspired by his experience at GitHub Universe, David combines generative AI with a fun and creative approach to showcase your coding skills.

In this video, you'll see how to access the GitHub api with agentic AI and tools to generate a personalized CodeBeast using AI services like Stability and DALL-E. David walks you through the app's interface, built with Lovable.dev, Python, and Flask, and explains how it scans your GitHub repositories to create a unique visual representation of your coding history using Agentic AI with Langflow. He also demonstrates using external storage, the If-Else, and Structured Output components in Langflow.

For a little more detail, check out the blog post https://www.datastax.com/blog/generat...

CodeBeasts App: https://codebeasts.onrender.com
CodeBeasts Repository: https://github.com/SonicDMG/codebeasts

Additional Resources:
DataStax Developer Hub: https://dtsx.io/devhub
DataStax Blog: https://dtsx.io/howto
Try Langflow: https://dtsx.io/trylangflow
Try Astra DB: https://dtsx.io/40kQpI6
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Chapters:
00:00:00 - Introduction to CodeBeasts
00:01:38 - Overview of the App
00:02:35 - Generating CodeBeasts
00:05:59 - Using storage components
00:07:05 - Conditional If/Else
00:08:58 - Post processing data with structured output
00:09:46 - Modularity in agentic flows
00:12:26 - Conclusion and Next Steps

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