Security, performance, and product discipline for modern web apps. White canvas, dark code, no extra noise.
A founder-first production hardening playbook for AI-built apps on Supabase and Next.js.
Three vibe-coded apps were breached in the last year. All three had working products. All three failed at the same layer. Here is what happened and what every founder building with AI tools needs to check now.
I was deep in product. Auth worked, payments worked, the demo looked clean. Security was something I kept telling myself I'd get to. Then I actually looked.
For six months I would paste my code into Claude and ask if it looked secure. It always said yes, with caveats. I felt good. I was wrong to.
An exposed API key is not just a future risk — it is an active incident the moment the key is in a public place. Here is exactly what to do in the next 10 minutes.
Enabling RLS is not the same as having working RLS. These are the exact policy logic errors that cause Supabase Row Level Security to compile correctly and still expose the wrong data.
Moltbook shipped with Supabase and no RLS. 1.5 million auth tokens exposed on day three. Lovable had a BOLA flaw open for 48 days. These aren't edge cases — they're the default output of vibe coding without a security pass.
Secure Next.js shipping in 2026 means validating runtime authorization, RLS integrity, and secret boundaries, not just passing static checks.
Most AI-built app incidents come from authorization drift, leaked secrets, and generated logic mistakes. This baseline focuses on the exact controls that block those failures without slowing shipping.
Start with side-by-side competitor pages built for founder purchase decisions, not generic top-funnel content.