Building an AI Chat App from Scratch: Architecture and Challenges
The author shares their experience of building a fully functional AI chat app, covering the project overview, technical stack, architecture design, and key challenges faced during the development process.
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Why it matters
This project showcases the author's hands-on experience in building a real-world AI chat application, addressing challenges like asynchronous data flow and responsive UI design.
Key Points
- 1Developed a Windows-based AI chat app called
- 2 with features like streaming responses, live UI updates, and chat history management
- 3Followed a layered architecture based on the MVVM pattern to separate UI logic from business logic and API handling
- 4Integrated an open-source SDK (OllamaSharp) to communicate with the AI API and focus on application logic rather than low-level HTTP operations
- 5Encountered version incompatibility issues initially and had to use an older version of the SDK and .NET Framework
Details
The author built an AI chat application called
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