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Working on co-author, an AI tool to help creating content (stream 387)
Summary
In this stream, I experimented live with AI-assisted “vibe coding,” trying to one-shot a .NET Aspire app that generates blog posts from videos and extracts keyframes automatically. I compared tools like OpenCode and Copilot, talked through architecture choices (containers, FFmpeg, UI), and debugged issues in real time with the chat. In the end, I realized a fully one-shot approach wasn’t ideal for a project this complex and decided to pivot back to a more iterative, pair-programming style when using smaller (less performant models).
📺 - Twitch archive - stream no. 387
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Building a tool to help me creating content, and yes it uses AI... obviously (stream 386)
Summary
Today we kicked things off by exploring GitKraken’s awesome new 11.8 release with features like ARM support and AI branch explanations—huge thanks to the team for always delivering such polished tools! But the real fun started when we brainstormed our new project “co-author,” a tool designed to help you write blog posts from video files using AI vision APIs and Python, all containerized and ready to go. We mapped out the core features like extracting key moments from videos, managing them in a library, and handling both video URLs and local files—I’m super excited to start building this one out!
📺 - Twitch archive - stream no. 386
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Adding video Q&A feature to our AI n8n custom node (stream 385)
Summary
Today we published a community node for N8N that’s now in review, and while we’re waiting for approval, I started working on version 0.44 with some fresh features. We added a video QA capability so you can ask questions about your videos and images, diving deep into TypeScript structure and figuring out how to properly organize resources and operations in the node. It was a longer stream with some complex learning moments, but we got two more functions implemented and I’m excited to see what else we can build on Friday!
📺 - Twitch archive - stream no. 385
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Writing an AI n8n custom node (stream 384)
Summary
Today was a fun stream working on building a custom N8N node that integrates with the Reca API for AI-powered video clipping and analysis—I showed how to create clips from YouTube videos with just a prompt and checked out the Zed editor for the first time. We also chatted about Linux distros with the community and I explained how I’m organizing the TypeScript/Node code structure to make it cleaner and easier to publish when it’s done.
📺 - Twitch archive - stream no. 384
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Let's play with n8n and AI (stream 383)
Summary
I kicked off the year with a super chill, fun live coding stream where I rambled a bit, shared holiday projects, and hacked on everything from Cloudflare + Traefik homelab setups to a playable 2D6 Dungeon game. We then dove deep into building an n8n custom node for REA to automate AI video clipping, troubleshooting live, learning as we went, and chatting with folks along the way. Messy, nerdy, and genuinely fun—exactly the kind of stream I love doing.
📺 - Twitch archive - stream no. 383
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