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Writing .NET SDK for Reka's AI API (stream 275)
Summary
Worked through converting reused Reka API models into a proper .NET SDK NuGet package, setting up the new project structure, metadata, and tags, and refactoring NoteBookmark to consume it cleanly. Debugged the earlier Aspire timeout issue (fixed via custom resilience handler options) and validated the class moves and project references. Wrapped with initial commit and versioning groundwork; next step is automating publish and adding more API surface (speech, etc.).
📺 - Twitch archive - stream no.275
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Add AI into NoteBookmark to search the web for us (stream 274)
Summary
This was a live coding stream working on NoteBookmark where I tried to implement web search functionality to pipe AI-generated research suggestions back to the UI. I made some progress refactoring code structure and moving classes to the right places, but hit a frustrating HTTP client timeout issue that kept cutting requests short at 30 seconds despite setting it to 5 minutes. Couldn’t solve it by the end of the stream - sometimes you just need to step away and come back fresh!
📺 - Twitch archive - stream no.274
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Working on NoteBookmark add AI to search the web for us (stream 273)
Summary
This is a live coding stream where Frank works on his open-source project “NotebookMark,” a tool that aggregates reading notes from articles and generates weekly blog posts with AI-powered content suggestions. He discusses his recent setup changes (switching to Arch Linux with Hyprland), shares his experience with various programming languages including starting to learn Go, and works on implementing web search functionality with domain filtering for finding relevant tech blog posts. The stream includes casual conversation with viewers about .NET Conf, streaming tools, learning JavaScript, and his workflow for managing technical reading and note-taking over the past 15+ years.
📺 - Twitch archive - stream no.273
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Let's start by reviewing PRs then working on a new demo C# + AI (stream 272)
Summary
On this stream, Frank works on modernizing an Azure Function deployment project. He reviews a pull request (PR) that updates the deployment from ARM templates to Azure Developer CLI (azd) with Bicep, encounters some regional quota issues while testing, and then works on improving an AI-powered event finder demo by adding better location search options and planning future features like date filtering and CFP tracking.
📺 - Twitch archive - stream no.272
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I am not ready for Meld Studio (stream 271)
Summary
Frank experiences technical difficulties when his usual OBS setup crashes after moving a PCI Express card, forcing them to switch to his work computer with Mel Studio and dealing with audio/video configuration issues. They spend most of the stream troubleshooting washed-out video colors (potentially HDR/SDR conversion problems with their capture card on Linux/Mac) and audio routing challenges, with help from chat viewers. Despite the setbacks, they briefly discuss their coding project—converting a restaurant finder demo to an event finder using AI—but ultimately decide to end the stream early due to frustration and fatigue.
📺 - Twitch archive - stream no.271
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