Father of two daughters and a Software Solutions Architect, I specialize in designing innovative software architectures and supporting Web, Digital, Cloud, DevSecOps, and Enterprise projects.
I have deep expertise in backend API/Java/Spring development and frontend development. My experience also includes project management using agile methodologies. Always seeking simple and business-tailored software solutions, I am known for my pragmatic and efficient approach. I am a strong advocate for simplifying IT for everyone.
As an active speaker, I share my knowledge at events like Devoxx France, JUGs, or API Days, and on my YouTube channel, The UnBullshIT, where I simplify IT for everyone. My hobbies include football, volleyball, cooking (Instagram blog Raf Cooking), cinema, geography, and traveling.
The rapid evolution of AI applied to software development has given rise to powerful tools such as Github Copilot. However, dependence on an internet connection, lack of control over the model, associated costs and concerns about data confidentiality have paved the way for a revolutionary alternative: Tabby.
Tabby offers a similar experience to Github Copilot, but stands out for its 100% FREE accessibility and open source status, giving its users complete autonomy. With one click, you can deploy your own Tabby instance, either locally or on your own servers. Imagine AI-assisted coding on a plane or train, regardless of Wi-Fi availability! The Tabby extension for VSCode, IntelliJ and others lets you start coding without worry.
With Tabby, the AI model used for code generation can be chosen from various Huggingface Hub models, and the whole thing can run directly on your computer, without requiring an internet connection.
In this presentation, we'll explore Tabby's features, its architecture, and how it's redefining our approach to AI-based code generation. Join us to discover how Tabby can unleash your creative potential while preserving your freedom and privacy.
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