Webinar
Live review: reading an AI-generated backend for security gaps
Forty minutes, one real app, and the checks we run before anything is allowed near a user.
Plutonapps Engineering41 min watch
This is a sample entry. The structure is final; the full write-up is on its way.
The recording is being prepared. Chapters and takeaways are below.
Who is speaking
Mira Kovač
Data & architecture
Daniel Roth
Auth & permissions
Chapters
- 0:00What we are looking at
- 4:00Reading the data model first
- 15:00Where permissions are actually enforced
- 26:00The three gaps we find most often
- 35:00What we would fix before launch
Key takeaways
- Read the data model before reading a single screen.
- Assume every hidden control is reachable by someone.
- A permissions rule you cannot demonstrate failing is a rule you have not tested.
We open an app built entirely through prompts and review it the way we review any codebase heading for production — starting with the data, then access, then the journeys that carry money or personal information.
More on this: Lovable mastery & prompting
Built something in Lovable you want people to rely on?
We are the engineers who take it the rest of the way — secured, tested, released and supported.