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insight-genie
Insight Genie is set to revolutionize knowledge management and content generation for individuals and teams alike. With its advanced AI features and integrations, it stands as a powerful tool in the digital era.
For this tutorial, I used a combination of my own "Knowledge Bot"—an OpenAI Assistant custom-tailored to my specific knowledge base and positioned as a pair programming partner with many of the concepts and knowledge I appreciate. Additionally, for the development side, I leveraged "Cursor.sh." Cursor.sh is like GitHub Copilot on steroids; it's an AI IDE rather than just a plugin in a traditional Visual Studio Code environment. I started with my assistant for many of the setup and project questions. Then, as I was writing code, I relied on Cursor and its built-in integration with ChatGPT 4o. This setup was fantastic because Cursor automatically picked up the context of the files I was viewing or the entire workspace if necessary.
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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assistify
Assistify connects you with tailored AI assistants to boost productivity across programming, product management, content creation, and more.
The complete code for this project is available on GitHub here. You can also check out the live application here.
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Configuring Tools and Dependencies: Hatch, a package manager and environment tool, was used to simplify the setup process. Installing and configuring Hatch was straightforward, ensuring the Python environment was set up correctly. Essential dependencies like FastAPI and Uvicorn were specified in the pyproject.toml file for easy management.
