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YouTube Videos I want to try to implement!

  • Self-Host Supabase Edge Functions



    Date: 06/02/2025

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    Okay, this video on Supabase Edge Functions on Fly.io is gold for any of us transitioning to AI-driven workflows. Jon Meyers walks through deploying a Supabase Edge Function, essentially a serverless function, on Fly.io using Deno and Oak middleware. This means we can ditch some of the heavier backend lifting and focus on orchestrating logic with tools like LLMs.

    Why’s it valuable? Because it showcases how to self-host these functions, giving us control and flexibility. Instead of being tied to a specific cloud provider’s serverless platform, we can deploy these lightweight functions anywhere, including environments where we’re integrating AI agents or no-code solutions. Imagine using an LLM to generate the core logic within the Edge Function, then deploying it to a cost-effective and scalable platform like Fly.io, orchestrated entirely by AI. We can have AI write the function, write the tests, and orchestrate the deployment!

    The real-world application is huge. Think automated content generation, dynamic API endpoints, or even real-time data transformation triggered by AI models. By experimenting with this, we’re not just learning about Supabase or Fly.io; we’re building a foundation for a whole new level of automation and intelligent applications. It’s definitely worth carving out an hour to play with!

  • Complete Guide ⚡️ Supabase Self-Hosted ➕ Custom S3 ➕ Authelia



    Date: 06/02/2025

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    Okay, this video on self-hosting Supabase with S3 storage, custom domains, and Authelia is exactly the kind of thing I’m diving into! It’s a walkthrough of setting up a complete backend infrastructure, and what’s killer is the focus on self-hosting. We’re talking full control, reducing reliance on external services, and potentially big cost savings down the road. It’s not just about slapping together a quick prototype; it’s about building a robust, production-ready environment.

    What makes this video inspiring is that it bridges the gap between traditional backend setups and the newer, “serverless” world that Supabase offers. The inclusion of Authelia for authentication shows a real-world security mindset. We, as devs, can leverage the techniques shown here to move away from the complexity of frameworks such as Laravel and use Supabase as BaaS and build an entire scalable app using Vue, React or Svelte (my favourite). The video even acknowledges some initial hiccups (which the author immediately fixed), it adds a layer of authenticity.

    I’m already thinking about how I can use this setup for a client project where data sovereignty and control are paramount. Instead of relying on a managed Supabase instance, I can deploy this on a Hetzner or DigitalOcean server, giving the client complete ownership of their data. This video is a must-watch for any developer looking to level up their backend game and explore the power of self-hosted solutions, and the mentioned hiccups only add credibility. I’m going to experiment with this over the weekend.

  • Make RAG 100x Better with Real-Time Knowledge Graphs



    Date: 06/02/2025

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    Okay, so this video is all about tackling a major pain point in RAG (Retrieval Augmented Generation): keeping the knowledge base up-to-date. It introduces Graphiti, an open-source platform for building real-time knowledge graphs, and demonstrates how it supercharges your RAG agents. Think of it as moving from static textbooks to a living, breathing, constantly updated encyclopedia for your AI.

    For me, as someone knee-deep in transitioning to AI-powered workflows, this is gold. We’ve all been there, right? Spending hours syncing data sources with our RAG systems, knowing it’s inefficient and prone to errors. The promise of a dynamic knowledge graph that evolves with your data is HUGE. The video not only explains the concept but provides a quickstart guide and a demo, making it really practical. The comparison with other RAG strategies like GraphRAG/LightRAG, along with Agentic RAG, is icing on the cake.

    Imagine using this to build a dynamic product catalog for an e-commerce site, or a real-time support system that learns from every interaction. The possibilities are endless. I’m particularly excited about the agentic RAG part, where the AI agent can actively update the knowledge graph based on its interactions. This video is definitely worth experimenting with because it addresses a core challenge in RAG and offers a practical, open-source solution that could save tons of time and unlock new levels of AI-driven automation. I’m already thinking of ways to integrate this with my Laravel projects!

  • Open Source AI Beats ChatGPT, ElevenLabs & Manus!



    Date: 05/31/2025

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    Okay, this week’s AI roundup video is seriously speaking my language! It’s all about leveraging free and open-source tools to tackle tasks that used to either be expensive or rely on proprietary platforms. We’re talking about AgenticSeek for local web automation (a potential Manus AI replacement!), Resemble AI’s Chatterbox for on-premise, high-quality text-to-speech, and Flux Kontext Pro dramatically cutting image generation costs.

    What makes this video so valuable for us developers diving into AI is that it showcases practical alternatives to the big, well-known AI services. Forget being locked into expensive APIs! AgenticSeek, for instance, offers a chance to build custom web scraping or task automation workflows without relying on third-party services, giving us more control and potentially better privacy. Chatterbox hits home because having a solid, locally hosted TTS model opens doors for accessibility features, voice-based UIs, or even dynamic content generation directly within our apps. And that 86% cost reduction for image generation? That’s HUGE! Think about automating marketing materials, generating custom thumbnails (like they do with “Pimp My Thumb” in the video!), or even prototyping UI elements without breaking the bank.

    For me, the Flux Kontext Pro segment is particularly exciting. Imagine integrating it into a Laravel app where users can generate custom images based on data they input. Suddenly, we’re not just building web apps; we’re building AI-powered creation platforms. It’s absolutely worth experimenting with these tools, even if there’s a learning curve. The potential for automation, cost savings, and unlocking new features in our projects is just too compelling to ignore.

  • The 10 BEST AI Image Generators!



    Date: 05/30/2025

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    This video is absolutely inspiring because it’s not just another AI image generator review. It’s about strategically choosing the right tool for the right job. The presenter, Tim, dives into what makes each platform special – Midjourney’s artistic capabilities, Ideogram’s way with words (literally!), and newer players like Flux and Runway. He highlights strengths, weaknesses, and who each generator best suits. It’s less about a definitive “best” and more about understanding each tool’s unique role in your creative workflow. Plus, he integrates Zapier, which is HUGE for us automation nerds!

    For a developer transitioning to AI-enhanced workflows, this is gold. We’re often thinking, “How can I automate X?” or “Can AI help me create marketing assets faster?”. Understanding the nuances of these image generators allows us to think beyond simple prompt-to-image and explore how they can fit into larger automated processes. For example, imagine using Ideogram to generate marketing copy with perfectly integrated visuals, all triggered by a Zapier workflow based on user data. And with the mention of open-source options, you can even self-host and integrate these tools directly into existing applications. That’s huge for customization!

    Personally, what makes this video worth experimenting with is its practical approach. Tim doesn’t just demo; he gives you a sense of how these tools can truly augment your creative process. And the integration with Zapier? Chef’s kiss! It’s a direct path to automating content creation, marketing campaigns, or even generating dynamic assets within a web application. We’re talking about real-world efficiency gains here, folks, and that’s exactly the kind of AI integration I’m excited about.

  • The Most Underrated Way to Make $2,000 in 48 Hours



    Date: 05/30/2025

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    Okay, so this video showcases a pretty interesting concept: turning Amazon return pallets into a profitable garage sale. While it might seem far removed from coding, hear me out. As developers, we’re constantly looking for ways to optimize processes and create value. This video demonstrates a real-world example of taking discarded or undervalued assets (Amazon returns) and transforming them into something valuable through clever repurposing and salesmanship.

    Why is this relevant to our AI/no-code journey? Think about it: we can apply similar principles to automate processes, optimize code, or even build entire applications using no-code tools and AI assistance. The video highlights the power of identifying inefficiencies and finding innovative solutions to extract value from them. It’s inspiring because it shows how a bit of creativity and effort can lead to tangible results, even without relying on traditional development methods.

    Imagine using AI to analyze market trends and identify niches for no-code applications, or leveraging LLMs to automate customer support in a service built on repurposed existing data. This garage sale example is a great reminder that innovation can come from anywhere, and it encourages us to think outside the box when exploring the potential of AI and no-code tools to solve real-world problems and create value. Plus, it’s a fun way to see the entrepreneurial spirit in action!

  • Build a Powerful AI Image Generator using n8n, Lovable and OpenAI



    Date: 05/30/2025

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    Okay, so this video is exactly the kind of thing I’ve been diving into lately! It walks you through building an AI image generator using n8n (a no-code workflow automation tool), Lovable (a no-code UI builder), and OpenAI’s Image-1 model. The coolest part? No code required! For me, after years of hand-coding everything, seeing how quickly you can prototype and deploy something like this with these tools is frankly, mind-blowing.

  • Discover Neo4j AuraDB – S02E03



    Date: 05/26/2025

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    Okay, so this video is all about the latest features in Neo4j AuraDB, focusing on how it simplifies graph database usage. It highlights new functionalities and why now is a great time to jump in, especially if you’re looking to use graph databases in the cloud. Plus, they’re showcasing practical datasets and diving into Aura Graph Analytics.

    As someone actively integrating AI and no-code solutions, I find this inspiring because graph databases are a HUGE asset when dealing with complex relationships in data – something crucial for effective AI models and automated workflows. The move towards cloud-based, managed graph databases like AuraDB is a total game-changer. Think about it: instead of wrestling with database infrastructure, you can focus on building intelligent applications. The video mentions using London Bicycle Hires data – imagine using that data to build predictive models for bike availability using AI, all powered by a clean, managed graph database. Pretty slick, right?

    What really grabs my attention is the “no-code” aspect AuraDB is pushing. If they’re truly making it easier to build and query graph databases without deep coding knowledge, that’s massive. It means I can quickly prototype solutions, empower non-technical team members, and ultimately, deliver more value faster. I’m definitely going to dive into that Colab notebook they linked and experiment with Aura Graph Analytics. The potential for automating insights from complex data relationships is too good to ignore.

  • AI Comedy with Google VEO 3



    Date: 05/25/2025

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    Okay, this VEO 3 video looks wild! From what I gather, it’s showcasing some seriously impressive AI video generation capabilities. It’s inspiring because it gives us a glimpse into how AI can revolutionize content creation and potentially even automate aspects of our front-end development or marketing workflows. Imagine being able to quickly generate explainer videos or marketing materials from code, driven by AI insights – that’s a game-changer.

    As someone knee-deep in exploring AI-assisted development, I see huge potential in tools like VEO 3. We could use it to prototype user interfaces rapidly or create dynamic video content based on data from our Laravel applications. Think of the time saved on manual video editing and animation! It’s worth experimenting with because it pushes the boundaries of what’s possible and forces us to rethink traditional development processes. While it may not replace developers anytime soon, it definitely opens up exciting new avenues for creativity and efficiency.

  • How to Integrate Claude Code 4 With Cursor (Their Largest Update Yet)



    Date: 05/25/2025

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    Okay, so this video shows you how to hook up Claude Code 4 directly into the Cursor IDE. Why is that cool? Well, I’ve been spending a ton of time trying to streamline my Laravel workflows with AI, and having Claude, which is a pretty powerful LLM, right inside my code editor? Game changer. No more jumping between browser windows and copy-pasting code. You get inline diffs, real-time context, and that’s a major boost in efficiency.

    Imagine refactoring a large codebase. Instead of manually reviewing every change, Cursor with Claude can highlight the impact of your modifications instantly. Think about automating mundane tasks, like writing unit tests or generating API documentation. Now, you can tell Claude exactly what you need right within your project, and boom, the code appears. For me, that’s huge.

    Honestly, it’s worth checking out just to see how much faster you can iterate. I’m excited to experiment with this and see how it impacts my dev cycle. It’s another step towards making AI a true partner in the development process, not just a fancy search engine.