ent101 · HN

The Safe, Production-Ready Backend for AI-Generated Apps

@SanikaSurse · X

u/bob__io · Reddit

What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

@SpalaAi · X

@GuidedBase · X

@AllAffiliateC · X

So the first OverSkill Games 24 Hour Vibe Coding Hackathon is finished. The winner is Aimee with Mindboard Check it out! @russellbrunson

u/texo_optimo · Reddit

I got tired of leaving claude code for image assets so I made Img-Forge - a remote txt2img MCP, API SoloDev here (doing this outside of my 9-5); I've decided to start shipping instead of remaining in a state of perpetual build. I'm shipping the tool I use most in my own work: Img-forge. Link is here but I have a Product Hunt listing for it here. There is a small free tier to check it out. Stackbilder.com is the platform UI; but Easiest way to get your agent working with it is via mcp

@erdemwrites · X

@NikChr1414 · X

u/yousefemz · Reddit

18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,

u/12qwww · Reddit

I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

@Starexgames2026 · X

Hey elon :D is it ok if I can make it in my app so people can use their supergrok sub to build with the AI in the app? Its like X but for vibe coded apps :3 very simular to websim before but with a X interface :D it would mean a lot :D