@Fahadh_4444 · X

This is FIGMA FOR SYSTEM DESIGNS

@GroundedIQ · X

GroundedIQ exists to close the gap between what a client asks for and what actually gets built. That gap is where projects bleed — in change orders, blown timelines, and the slow erosion of trust between a consulting team and the people who hired them.

@satulipa_ · X

My workflow: 1. Open Speckit → answer 5 questions 2. Get blueprint (PRD, DB, API, roadmap) 3. Take it to Cursor/Claude Code 4. Vibe code with actual direction Built with Next.js, Vercel, try it on

@9to5_Dad · X

Ai mobile app ui designer with taste

@jordanunegbu · X

Develop apps and websites with natural language?

u/ComfortableCheap1669 · Reddit

I built a way to see the decisions behind an AI-assisted project, not just the final repo I kept running into a weird problem with projects I built using AI. Once the project is finished, GitHub shows the result pretty well. But almost none of the process survives. The first approach that didn’t work. The bug that changed the architecture. The point where I realized I was solving the wrong problem. The AI suggestion I ignored. Why v2 looks different from v1. You

u/mrtrly · Reddit

I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode

heywitt · HN

UnUI – Help coding agents make better design decisions

@edgex11lz · X

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

@knutmt · X

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.