@vibe_and_go · X

@Sakthi_in · X

- Ship AI written code confidently. Catch drift before it compounds.

@Nqspq · X

been building a security scanner for vibe-coded apps — it catches leaked API keys, open databases, logins you can bypass. tested it on a repo made for testing scanners. it caught everything — report below free if you want to check yours:

@RElharrak39428 · X

@Ajathinfotech · X

How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents

@itskalenai · X

stop writing bad prompts. #ai #claudecode #vibecoding

@nathanghart · X

Submitting for approval. I built a free tool for anyone about to ship a vibecoded app. It scans your repo for what bites you in prod (leaked keys, no auth, no error handling). I ran it on 1,868 AI-built apps and even caught my own scanner being ~42% wrong.

@atenyun · X

Hi everyone! If you're getting into vibe coding and have questions about LSPs or need a hand with reviewing your smart contract, feel free to post on Hup. We're here to help you out! Creator: 0x20e229667Cec8A0e9D3C6Fb89693B2a44ec2C50e via @hupsocial

u/ramu9703 · Reddit

I built a public ledger that tracks a software idea from "shower thought" to shipped code hey everyone, I spent my weekend building a public backlog called vibehub (thanks 5.6 sol :) ) the main problem i wanted to solve is that too many good micro-ideas die in notes apps, and too many open-source projects launch without anyone knowing why they were built, who had the original spark, or how they evolved vibehub tracks the entire lineage of a project: - public feed of software briefs

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

@emir_ogz · X

Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly

u/dumbfoundded · Reddit

Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db