Date: 02/25/2025
This video on self-hosting Lovable with Coolify is super relevant for anyone, like myself, who’s diving into the world of AI-powered development and automation. It essentially tackles a common problem: how do you scale and control your deployments as your AI-driven projects grow, without breaking the bank with managed services? The video walks you through setting up Coolify, connecting it to your GitHub repos (including private ones!), and automating deployments with webhooks. Plus, it even covers troubleshooting common issues like bad gateway errors, which, let’s be honest, we’ve all been there!
What makes this video particularly valuable is that it demonstrates how to leverage no-code/low-code tools like Coolify to handle the deployment pipeline. This frees up time to focus on the core AI coding aspects of a project. Imagine using AI code generation to rapidly prototype a new feature, then having Coolify automatically deploy it to a self-hosted environment. Also, the promise of integrating self-hosted Supabase in part two, now that’s interesting, because that means you are in full control of your data too!
From my perspective, as someone who’s always looking for ways to streamline my workflow and reduce reliance on external services, this video is a goldmine. The ability to self-host and automate deployments allows for greater flexibility and cost control. And the peace of mind in knowing that you control your own servers, your models and your databases is a fantastic proposition. I’m definitely experimenting with Coolify this weekend!