A developer details how they built an automated system to publish content across four different platforms, using an AI agent to scrape GitHub Trending. This resolved synchronization issues and incorrect canonical URLs that arose from the manual process.
This article details a full-stack AI-powered system designed to automate event feedback collection and reporting. Utilizing Gemini 2.5, FastAPI, and Supabase, it transforms raw feedback into branded PDF reports with AI-generated sentiment analysis and improvement suggestions, delivered directly to organizers.
A solo developer built the CodecityApp, a coding challenge platform with 1,334 challenges across 10 languages. The stack included Lovable, Supabase, and Claude, with AI used for mentoring and outreach, and a low-code approach where only 20% of the code was handwritten.
The author built and ran a fully autonomous AI agent system 24/7 on a home PC for several weeks, without human intervention. This multi-agent pipeline, based on Claude and Supabase, features a "God Agent" orchestrating specialist workers for task creation and self-improvement, all monitored via a real-time dashboard.
Part 2 of the "Spec-Driven Development with Claude Code" series focuses on implementing authentication and data layers using Supabase. It guides users through backend configuration and creating an authentication module with a spec-first approach.
The author addressed three recurring pain points in their indie dev workflow (meeting notes, X threads, blog drafts) by leveraging a single Edge Function with AI writers. They added new cases to an existing function on Supabase to optimize quota usage and efficiently manage writing tasks.
This content details the development of Rutiq, a system designed for last-mile orchestration. It highlights the integration of modern technologies like FastAPI, Supabase, and Telegram, alongside applied artificial intelligence, to build a robust solution.
This article, the second part of a series on Spec-Driven Development with Claude Code, covers the implementation of authentication and data layers. It details setting up the backend with Supabase, emphasizing the 'spec first, code later' approach.
This content discusses production-ready design patterns for Supabase Edge Functions, which run on Deno. It provides practical examples for setting up functions, handling CORS, and interacting with Supabase services in a serverless environment.
This thread details a debugging issue for a Next.js 14 application deployed on Vercel using Supabase Storage. Image uploads work locally but intermittently fail in production with 403 errors or missing database entries.
This article analyzes the Vercel and Supabase stack, a common choice for web development, highlighting its benefits and common friction points encountered in production. It aims to guide developers on what works and what breaks, suggesting a cleaner path for full-stack builds.