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Tag: supabase

  • Announcing the Supabase UI Library



    Date: 04/01/2025

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    Okay, this Supabase UI Library video is exactly the kind of thing I’m geeking out about these days. It’s all about pre-built UI components – authentication, realtime collaboration, file uploads, even AI-powered coding rules integrated directly into your Supabase workflow. Forget spending hours building basic UI elements from scratch; this library lets you drag-and-drop your way to a functional app, which frees up time to focus on the actual innovative parts of your project. As someone knee-deep in AI coding and no-code solutions, this resonates big time!

    Why is this valuable for developers moving into the AI/no-code space? Well, think about it: we’re trying to offload the repetitive tasks to AI and automation so we can focus on architectural design and complex logic. This library does the same thing for the front-end. For instance, instead of hand-coding a file upload feature, you drop in a pre-built component and spend your time integrating it with, say, an LLM to automatically tag and categorize the uploaded files. That’s real-world automation powered by AI, and this UI library is the perfect jumping-off point.

    Honestly, the AI Rules feature alone makes this worth experimenting with. The video hints at using AI to guide code quality, which is HUGE. Imagine integrating that with existing LLM workflows to generate code that’s not only functional but also adheres to best practices. This is the sweet spot where AI enhances, not replaces, our coding, and it’s why I’m planning to spend some serious time playing with this Supabase UI Library. Plus, anything that helps me “ship faster” gets a gold star in my book!

  • I replaced my entire tech stack with Postgres…



    Date: 03/04/2025

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    Okay, so this Fireship video on 10 unusual uses for PostgreSQL? It’s gold for us right now. As developers diving into AI-assisted workflows, we’re not just trying to automate code generation; we’re aiming for *smarter* solutions. This video basically shows you how Postgres can be way more than just a place to store data. We’re talking about using it for things like background jobs, message queues, and even simple APIs – stuff you might traditionally reach for Redis or dedicated services for.

    Why is this so valuable? Because understanding these advanced Postgres capabilities opens doors for more efficient automation. Imagine using LLMs to generate SQL queries that leverage these unusual features. You could build complex data pipelines or event-driven systems with significantly less custom code. The video’s “build a fullstack app with Postgres” section is particularly interesting. By deeply understanding SQL and database-level logic, we can train AI models to generate optimized database interactions, abstracting away boilerplate and improving application performance.

    For me, this video is inspiring because it challenges the traditional “code first, database later” mindset. It hints at a future where the database itself becomes a more active participant in application logic. It’s worth experimenting with because, even if you don’t use *all* 10 tips, mastering even a few can unlock new possibilities for AI-driven development and automation, making our workflows leaner and more powerful. Plus, Neon’s free tier making it easier than ever to spin up Postgres databases is a total win!

  • Implement Authorization using Row Level Security (RLS) with Supabase (Step By Step Guide)



    Date: 02/23/2025

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    This video on Supabase’s Row Level Security (RLS) is gold for anyone like me who’s been diving headfirst into AI-assisted development. It basically shows you how to enforce data access rules *right in the database* itself using PostgreSQL’s RLS policies, rather than relying solely on your application code. It walks you through using the Supabase dashboard to visually set up policies that control who can see, edit, or delete data, and shows how these rules play out across different tables and user roles. It even demos using Supabase’s AI tools to simplify policy creation.

    What makes this particularly valuable is that RLS can become an essential part of your application’s security architecture. It’s all about moving security closer to the data itself. Instead of relying on potentially buggy or leaky API code to filter data, you define the rules at the database level. This means queries sent directly to the database are automatically filtered based on the user’s role and permissions. The video clearly explains how you can test these policies to ensure they work as expected for different user types. It’s a massive shift towards more robust and secure applications, especially as we start generating more code with AI. This also ties into the broader no-code/low-code movement, because Supabase AI tools are lowering the barrier to entry for complex security configurations, and they are doing it in a way that makes it auditable and repeatable in code!

    Honestly, it’s worth experimenting with because it’s a fundamental piece of the puzzle when building secure, scalable applications. It’s no longer enough to just trust your API layer. With AI generating so much of our code, having that extra layer of database-level security gives you much more peace of mind. Plus, Supabase makes it surprisingly easy to get started, even if you’re not a database expert, especially using their AI tools. This is something I’m going to be incorporating into my next project!

  • FREE: Self-Host Supabase On Coolify!!⚡ Firebase Open Source Alternative🔥 Complete Setup & Bug Fix🐛



    Date: 01/26/2025

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    Okay, so this video is all about self-hosting Supabase on Coolify, which is a total game-changer if you’re looking for a Firebase alternative. It walks you through the complete setup, and even tackles a common bug related to `POSTGRES_HOST` and `POSTGRES_HOSTNAME` in the Docker Compose file. Sounds pretty straightforward, right? But the real value here, for someone like me who’s been diving deep into AI-assisted development, is the power and freedom this unlocks.

    Why is this inspiring? Well, think about it: we’re constantly looking for ways to automate infrastructure and reduce reliance on vendor lock-in. This video essentially provides a blueprint for deploying a powerful backend solution (Supabase) on your own terms, using Coolify’s no-code interface. Imagine using AI tools to generate the initial database schema, setting up your API endpoints through Supabase, and then deploying the whole thing with a few clicks in Coolify. That’s a huge win for agility and control. For example, in the past, setting up a similar backend stack might have taken days with manual configuration. Now, with this approach, it could potentially be done in hours, freeing up time to focus on the core logic and AI integrations.

    What makes it worth trying? It’s about owning your data and infrastructure. I can see this fitting perfectly into projects where data privacy is paramount, or where you need highly customized backend logic that goes beyond what Firebase offers. Plus, let’s be honest, the prospect of self-hosting and having complete control over your stack is always appealing! I’m personally eager to experiment with this to create a fully AI-powered workflow, from code generation to deployment, all within a self-hosted environment. It feels like a step towards true end-to-end automation.