YouTube Videos I want to try to implement!

  • Run Supabase 100% LOCALLY for Your AI Agents



    Date: 02/17/2025

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    Okay, this video looks seriously useful! It’s all about leveling up your local AI development environment by integrating Supabase into the existing “Local AI Package” – which already includes Ollama, n8n, and other cool tools. Supabase is huge in the AI agent space, so swapping out Postgres or Qdrant for it in your local setup is a smart move. The video walks you through the installation, which isn’t *exactly* drag-and-drop but totally doable, and then even shows you how to build a completely local RAG (Retrieval-Augmented Generation) AI agent using n8n, Supabase, and Ollama.

    For someone like me, constantly experimenting with AI coding, no-code platforms, and LLM workflows, this is gold. I can see immediately how this could streamline development. I’ve been fighting with cloud latency when testing, and I love the idea of a fully local RAG setup for rapid prototyping. Plus, the creator is actively evolving the package and open to suggestions – that’s the kind of community-driven development I want to be a part of. Imagine quickly iterating on AI agents without constantly hitting API limits or worrying about data privacy in early development stages – that’s a game changer.

    Seriously, I’m adding this to my weekend project list. The thought of having a complete AI stack, including a robust database like Supabase, running locally and integrated with n8n for automation… it’s just too good to pass up. I’m already thinking about how this could simplify the process of building AI-powered chatbots and data analysis tools for internal use. Time to dive in and see what this local AI magic can do!

  • Gemini Browser Use



    Date: 02/16/2025

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    Okay, this video on using Gemini 2.0 with browser automation frameworks like Browser Use is seriously up my alley! It’s all about unlocking the power of LLMs to interact with the web, and that’s HUGE for leveling up our automation game. Forget clunky, hard-coded scripts – we’re talking about letting the AI *reason* its way through web tasks, like grabbing specific product info from Amazon or summarizing articles on VentureBeat, as shown in the demo. The video bridges the gap from Google’s upcoming Project Mariner to something we can actually play with *today* using open-source tools.

    For anyone like me, who’s been wrestling with integrating LLMs into real-world workflows, this is gold. Imagine automating lead generation by having an agent browse LinkedIn and extract contact details, or automatically filling out complex forms – all driven by natural language instructions. The potential time savings are massive! We’re talking potentially cutting down tasks that used to take hours into mere minutes.

    Honestly, seeing this makes me want to dive right in and experiment. The Github link provides a great start. I’m already thinking about how I can adapt the concepts shown in the video to automate some of the tedious data scraping and web interaction tasks I’ve been putting off. It’s about moving from just generating code to creating intelligent agents that can navigate the digital world – and that’s an exciting prospect!

  • Automate Your Entire SEO for $1 (Free n8n Template)



    Date: 02/16/2025

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    This video is pure gold for developers like us who are diving into the world of AI-powered automation! It lays out a complete SEO automation workflow using n8n, showing you how to generate and post SEO-optimized blog content *without* the hefty agency fees or endless manual writing. The video smartly focuses on two key content types: “cluster” posts for ranking on specific keyword groups and “trend” posts to capture trending searches. It walks you through everything from keyword research using both Google Ads and ChatGPT, all the way to automating the blog posting process.

    What makes this inspiring is the practical application of no-code tools like n8n, combined with the power of LLMs for content creation. I’ve been experimenting with similar workflows to automate mundane tasks in web development, like generating API documentation or even writing basic code snippets. Seeing this applied to SEO—a critical but often tedious aspect of any project—shows how we can truly leverage these tools to free up our time for more creative and strategic tasks. Imagine automating blog posts for a client’s e-commerce site, driving traffic while you focus on building new features – game changer!

    Honestly, the idea of automating two SEO-optimized blog posts per week is incredibly tempting. It’s a fantastic example of how we can blend our development skills with AI and no-code to build powerful, automated solutions. I’m definitely grabbing those templates and prompts – time to experiment and see how this can boost our projects (and maybe even our own online presence!).

  • 5K monitor at HALF the price of the Studio Display



    Date: 02/16/2025

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    Okay, so this video from Oliur seems to be showcasing the ASUS PA27JCV monitor, likely with a focus on its color accuracy, design, and how it integrates into a creative workflow. He probably touches on its use for photo and video editing, maybe even some coding. He’s also linking to his custom wallpapers and gear setup.

    Why is this inspiring for us AI-focused developers? Because it’s a reminder that even with all the automation and code generation, the final product still needs to *look* good and be visually appealing. Think about it: we can use LLMs to generate the perfect UI component, but if it clashes with the overall design or isn’t visually engaging, it’s useless. This video is valuable because it implicitly highlights the importance of aesthetics and user experience, elements we can’t *fully* automate (yet!). Plus, seeing his gear setup might give us ideas for optimizing our own workspaces, making us more productive when we *are* heads-down in the code.

    I can see myself applying this by paying closer attention to UI/UX principles, even when using no-code tools or AI-generated code. It’s a good reminder that we’re building for humans, not just machines. I’m definitely going to check out his wallpaper pack – a fresh visual environment can do wonders for creativity and focus. And honestly, anything that makes the development process a little more enjoyable and visually stimulating is worth experimenting with, right? Especially when we’re spending countless hours staring at code!

  • Cursor AI & Replit Connected – Build Anything



    Date: 02/14/2025

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    Okay, so this video about connecting Cursor AI with Replit via SSH to leverage Replit’s Agent is pretty cool and directly addresses the kind of workflow I’m trying to build! Essentially, it walks you through setting up an SSH connection so you can use Cursor’s AI code editing features directly with Replit’s Agent. I have been looking for a way to get the benefits of a local LLM workflow using Cursor with a fast to deploy workflow on Replit.

    Why is this exciting? Well, for me, it’s about streamlining the entire dev process. Think about it: Cursor AI gives you powerful AI-assisted coding, and Replit’s Agent offers crazy fast environment setup and deployment. Combining them lets you build and deploy web or mobile apps faster than ever before. I’m thinking about how I can apply this to automate the creation of microservices that I can instantly deploy on Replit for rapid prototyping.

    Honestly, what’s making me want to dive in and experiment is the promise of speed. The video showcases how you can bridge the gap between local AI-powered coding and cloud deployment using Replit. If this workflow is smooth, we can build and iterate so much faster. It’s definitely worth spending an afternoon setting up and playing around with, especially with the rise of AI coding and LLMs.

  • Getting bolt.diy running on a Coolify mananged server



    Date: 02/14/2025

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    Okay, this video is about using Bolt.diy, an open-source project from StackBlitz, combined with Coolify, to self-host AI coding solutions, specifically focusing on running GPT-4o (and its mini variant). It’s a practical exploration of how you can ditch relying solely on hosted AI services (like Bolt.new) and instead, roll your own solution on a VPS. The author even provides a `docker-compose` file to make deployment on Coolify super easy – a big win for automation!

    For a developer like me, knee-deep in AI-assisted development, this is gold. We’re constantly balancing the power of LLMs with the costs and control. The video provides a concrete example, complete with price comparisons, showing where self-hosting can save you a ton of money, especially when using a smaller model like `gpt-4o-mini`. Even with the full `gpt-4o` model, the savings can be significant. But it’s also honest about the challenges, mentioning potential issues like “esbuild errors” that can arise. It highlights the pragmatic nature of AI integration; it’s not perfect, but iterative.

    Imagine using this setup to power an internal code generation tool for your team or automating repetitive tasks in your CI/CD pipeline. This isn’t just about saving money; it’s about having more control over your data and model access. The fact that it’s open-source means you can tweak and optimize it for your specific needs. Honestly, the potential to create customized, cost-effective AI workflows makes it absolutely worth experimenting with. I’m already thinking about how to integrate this with my Laravel projects!

  • Build Slack Apps with Replit Agent



    Date: 02/13/2025

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    Okay, so this video is basically about turbocharging your Replit apps by hooking them up to Slack. Think automated notifications, custom workflows, all triggered right from your development environment. It walks you through building two example apps – a Dad Joke generator (hilarious, right?) and a PDF summarizer that drops markdown summaries into your Slack channels.

    What’s super valuable here is the practical approach. As I’m moving more into AI-driven development, no-code tools, and leveraging LLMs, understanding how to tie these pieces together is crucial. This video shows you exactly how to configure Slack’s API, OAuth, and Replit’s environment variables. No more copy-pasting snippets from scattered documentation! Plus, it touches on using Replit’s agent, which can seriously streamline the whole process. Imagine building a custom alert system for your CI/CD pipeline or a chatbot that answers common questions from your team, all powered by LLMs in the backend and communicated through Slack.

    Honestly, the thought of automating mundane tasks and centralizing communication is what excites me most. I’ve wasted countless hours manually checking logs and relaying information. The examples alone are worth checking out, but the real power lies in adapting these concepts to your own projects. I’m already envisioning a system that automatically summarizes client feedback from different sources (emails, surveys, etc.) and posts them to a dedicated Slack channel for my team to review. That’s the kind of workflow automation that makes this video a must-try for any dev looking to level up their game with AI and no-code tools.

  • Migrating a Laravel app from Forge to Coolify



    Date: 02/13/2025

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    Okay, so this video is all about migrating Laravel applications from Laravel Forge to Coolify, primarily to reallocate Forge costs towards server upscaling. I’m all ears, because managing infrastructure costs while scaling applications is a constant balancing act.

    As someone diving into AI-powered workflows, this video hits home because it automates server management tasks that used to take me hours. Instead of manually configuring servers, setting up deployments, and tweaking configurations, Coolify offers a more streamlined, potentially no-code approach. This is valuable because it frees up time to focus on what matters: implementing those cool AI features and optimizing LLM-based workflows.

    Imagine using Coolify to automatically provision new environments for testing AI models or to scale your application’s resources based on the load from your LLM-powered features. This shift from manual server wrangling to automated infrastructure management is exactly the kind of efficiency boost I’m looking for. Plus, if the video author sorted through the common hang ups, then I will be way more efficient than trying to work it out for myself. Definitely worth checking out to see how it streamlines Laravel deployments and frees up budget for more powerful servers!

  • How to Connect Replit and Cursor for Simple, Fast Deployments



    Date: 02/13/2025

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    Okay, this video on connecting Cursor to Replit is seriously inspiring for anyone, like me, who’s diving headfirst into AI-assisted coding. It’s all about setting up a seamless remote development workflow using Cursor (an AI-powered editor) and Replit (a cloud-based IDE). You basically configure an SSH connection so Cursor can tap into Replit’s environment. This lets you use Replit’s beefy servers and cloud deployment features directly from Cursor’s AI-enhanced interface. Think about the possibilities: Code completion, debugging, and refactoring powered by AI, all running on scalable cloud infrastructure.

    Why is this a game-changer? Because it bridges the gap between local AI coding and real-world deployment. Instead of being limited by your local machine’s resources, you can leverage Replit’s infrastructure for complex tasks like training small models or running computationally intensive analyses. The video even shows how to quickly spin up and deploy a React app. I’m particularly excited about Replit’s “deployment repair” feature; it’s like having an AI assistant dedicated to fixing deployment hiccups – something I’ve definitely spent way too much time debugging in the past!

    Honestly, I’m itching to try this out myself. The idea of having a full AI-powered IDE experience with effortless cloud integration is incredibly compelling. It could seriously boost productivity and allow for faster prototyping and deployment cycles. Plus, Matt’s LinkedIn is linked, which is pretty handy!

  • INSANE AI Creates Entire Games! (No Coding Needed)



    Date: 02/12/2025

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    Okay, this video is *definitely* worth a look if you’re like me and trying to blend traditional development with AI. Essentially, it’s a tour of how AI is making game development crazy accessible. We’re talking about things like Google DeepMind’s Genie 2 creating entire game worlds from simple prompts, AI handling object interactions and physics, and even Nvidia’s AI-powered NPCs that can drive dynamic storytelling. It’s mind-blowing!

    The cool part is, it’s not just about games. The underlying tech and concepts showcased in this video – like using natural language to define complex systems or solving temporal consistency issues in AI-generated content – are directly applicable to automating tasks and streamlining development workflows in web applications. Imagine describing a complex data transformation pipeline in plain English and having AI build it for you! Plus, the video touches on the commercial aspects too — selling AI-generated indie games, finding AI side hustles. Very interesting!

    For me, the most inspiring thing is seeing how these AI tools democratize creativity. The video presents Rosebud.ai for example, a fully functional AI-powered game development platform. I’m itching to experiment with these tools, not necessarily to make games, but to prototype new features, rapidly iterate on UI designs, or even generate test data. It could cut development time significantly. I am particularly interested in looking into how temporal consistency is tackled in the video, I bet the same approach can be used to improve data transformation pipelines or any kind of recurring process where previous iterations influence current and future state. I’m grabbing that free ebook for sure.