KitchenAI

Over the past year of building AI-enabled SaaS applications, I kept hitting the same wall. Going from a Jupyter notebook full of AI RAG techniques to something usable in my app was a nightmare. Here's the problem: - Notebooks are great for testing ideas, but they’re not meant for building applications around them. - I had to manually dissect notebooks, build a proof-of-concept API server, integrate it into my app, and pray it worked. - The feedback loop was *painfully* long—and most of the time, I canned the project because it didn’t quite fit. This frustration comes from a gap in roles: 1. Data Scientists/AI Devs want notebooks to experiment with methods and techniques—but it's not their main focus to also create an API for other applications to use. 2. App Developers just want simple APIs to test and integrate quickly to see if it actually enhances their app. This is where KitchenAI comes in. KitchenAI bridges this gap by transforming your AI Jupyter notebooks into production-ready API server in minutes. But why?? - Shorter Development Cycles Test, iterate, and deploy AI techniques faster and cut the feedback loop in half. - Vendor and Framework Agnostic Use the libraries you’re comfortable with, no lock-ins. - Plugin Architecture Extend functionality with plugins for evaluation frameworks, observability, prompt management, and more. - Open Source and Local-First Built on trusted technologies like Django, so you stay in control—no 3rd-party dependencies required. - Docker-Ready Share your API server as a lightweight container for easy collaboration. We’ve released KitchenAI as an Apache-licensed open-source tool, so anyone can use it. Up next is a managed cloud version with deeper integrations, metrics, analytics, and workflows for teams with more complex needs. One short term goal is to go straight from colab to a KitchenAI cloud hosted API so development can be absolutely seamless. Give it a spin and a star: https://github.com/epuerta9/kitc... Let us know what you think! What's next?? Be part of our KitchenAI Cloud launch program! Over the coming months, we’ll roll out the first versions of KitchenAI Cloud, and we’re looking for a small group of developers to join us. to be part of the early devs register here: https://tally.so/r/w8pYoo 🎁 Why Join the Program? As part of the KitchenAI Cloud program, you’ll get: - 🌟 Early Access: Be the first to try out cutting-edge features. - 📞 Direct Support: A dedicated line to the KitchenAI team for feedback and assistance. - 📣 Influence the Future: Shape the direction of KitchenAI Cloud with your insights. - 💎 KitchenAI Credits: Enjoy tons of credits to experiment and build. - 🎁 Exclusive Swag: Special gifts for early adopters.

KitchenAI should be a valuable piece of any internal dev team's AI roadmap. As we see the LLM services and tools infrastructure continue to grow amidst widespread AI adoption, having this plug and play solution will shorten AI feature timelines and get your dev team up to speed and pushing production scalable code in weeks instead of months.

This will be a life saver. The amount of different boilerplates required to do the same thing in the AI space is crazy at the moment. I think KitchenAI's approach solves this.