I’m testing a small offer: fixing broken AI-built MVPs
A lot of founders are building MVPs with Cursor/Lovable/Bolt, then getting stuck when the app hits real code problems: env vars, API routes, auth, database flows, Vercel deploys, TypeScript errors.
I’m testing a focused debugging offer for this: repo review, scoped fix, stabilization, and handoff notes.
Curious if people here have hit this problem after AI-building a prototype.
This is very real.
I’ve seen a lot of MVPs built with AI tools hit a wall right after the “it works on my machine” stage. Things like broken env configs, messy API routes, auth edge cases, and deployment failures (especially on Vercel) seem to be the common pain points.
What makes it harder is that the code looks complete, but under the hood it’s fragile and hard to debug without solid fundamentals.
Your offer makes sense because it focuses on stabilization, not just building — which is exactly where most founders get stuck.
If you’re open to collaboration or need extra hands on debugging/stabilizing projects, I’d be interested in contributing. I’ve worked on similar issues and can help clean up, fix, and ship reliably.
You can reach me on WhatsApp: +1 (361) 332-6512
Thanks, appreciate it. That “looks complete but is hard to debug” stage is exactly the problem I’m trying to focus on.
I’m mainly working on stabilization/audit workflows right now: envs, API routes, auth edge cases, deploy issues, validation, and clean handoff.
Happy to connect - I’ll keep you in mind if a larger cleanup project needs extra hands.
Hi, mindmnml.
Thanks.
May we connect contact on whatsapp? WhatsApp: +1 (361) 332-6512