Author(s): Fabio Matricardi
I Analyzed OpenVINO’s Complexities and Built My Own API Server in 20 Hours — From the Idea to the Code
I tested it, because I struggled to install the ovms (OpenVINO Model Server (OVMS)): it was far too complicated. Probably would have worked out-of-the-box with the Docker container, but I really don’t want to use Docker on my Laptop.
The Solution: Coding with AI Assistant
Vibe coding, or Coding with AI assistant… or other hundreds names, you call it.
The Journey Begins
After spending 20 hours with the online Documentation and OpenVINO Notebooks, I gave up on Intel ovms, but I gained some motivation to Do It Myself.
The Results: A 3-Part Series
In this article, I will describe the process (and the results) to write a Python code with Claude Sonnet 3.7 as an assistant.
My Personal Attempt to OpenAI API Compatible OpenVINO Server
github.com
The Plan: A 3-Part Series
how to go from the idea to the code
how to improve the code and include new features
how to publish it — a pip package ???
The Process: A Human-AI Partnership
A good Pareto ratio (80% Claude, 20% me) and a more realistic effort ratio (80% me, 20% Claude 3.7).
Conclusion
This article is the first part of a 3-part series on building an OpenVINO server using Claude Sonnet 3.7 as an AI assistant. In this series, we will explore the process of building a Python code with Claude, from the idea to the code, and eventually publishing it as a pip package.
FAQs
Q: What is OpenVINO?
A: OpenVINO is a software framework for building AI-based applications.
Q: What is Claude?
A: Claude is an AI assistant used for coding.
Q: Why did you choose OpenVINO?
A: I chose OpenVINO because of its compatibility with OpenAI API.
Q: What is the purpose of this article?
A: The purpose of this article is to share my experience in building an OpenVINO server using Claude Sonnet 3.7 as an AI assistant, from the idea to the code.
