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I want more, more, MORE! Continuing our AI journey in an OSS project (stream 264)
Summary
In this live stream, Frank shares how if finished of camera the work started in the previous stream to generate blog post summaries. Then planning to work on a bigger feature, he decided to push to production the current version. The CICD failed at first du to missing secrets, once fixed, the deployment worked and the new AI feature was live. He then spent some time planning the next big feature to work on.
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Using AI in an OSS Project to generate summaries (stream 262)
Summary
This is a live coding stream where Frank, a developer, works on integrating AI functionality into his project called Notebookmark, a tool he uses to generate weekly blog posts with reading notes and summaries. He’s specifically trying to implement an AI feature using the Reka API to automatically generate introduction paragraphs for his blog posts by analyzing the content and categories of articles he’s read. The stream shows him setting up the technical infrastructure, including creating a new class library service in his .NET project using JetBrains Rider, though he encounters timeout issues with the API calls that prevent the feature from working by the end of the session.
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OSS Project Maintenance, planning, tooling(stream 262)
Summary
In this stream we created a Github dashboard (under projects) to track the work of most active open source projects. The board is available here: https://github.com/users/FBoucher/projects/15/. This will help us track issues, PRs and plan future work on: AzUrlShortener, 2d6-Dungeon-App, NoteBookmark, and other repo.
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Adding AI to an App: Let's it do [task] for us (stream 261)
Summary
In this stream, frank shares some c# code do to call Reka AI APIs using the .NET 10 preview, sharing the good and the less good parts of the experience. THen he starts to integrate the AI calls into NoteBookmark.
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Adding AI to an App: Let's it search online for us (stream 260)
Summary
The plan was really to add a AI feature to the NoteBookmark app, seriously. But we needed to fix some bug where a new post couldn’t be added. And it took the entire stream to fix this weird issues. Nevertheless it was a good stream I we (well mostly I) learned a lot about Rider, thanks to the chat and my amazing community. Next stream we will add the AI feature, I promise!
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