You built your app by talking to AI, and it works. What you can't see is whether it holds up once real users arrive. Subak checks it for the bugs and broken logic vibe coding leaves behind, then tells you what's wrong in plain English.
Vibe-coding tools optimize for a working demo, so the parts that keep an app standing in production get skipped. The same gaps turn up again and again in AI-built apps: logic that drifts from what you asked, code that falls over under real load, failures with no handling, edge cases no one covered. You won't spot them, because you didn't write the code and it looks finished. Your users will.
A working demo proves the happy path runs once. It tells you nothing about the tenth user, the empty form, or the change you ship next week.
Subak reads your code like a senior engineer, checking where vibe coding goes wrong most often. Every finding says what it is and why it matters.
comes back with what it is, why it matters, and a fix you can paste straight into your AI tool.
Subak maps your project into a dashboard, so you can see how the pieces connect even though you didn't write them. When a finding points to your login flow or database, you see exactly where it lives.
You get a clear list of what's solid and what's risky, sorted by impact, each fix written to paste straight into your AI tool. When you're ready to raise or land your first customer, a signed certificate proves the code was checked, hard proof when you're a team of one.
Hard proof the code was checked, to show investors or your first real customer.
Building with AI and not sure what to check before you ship? These are the questions founders ask us first.
Ask a questionNot on its own. AI tools build for what works in the demo, so they routinely skip the things that keep an app standing in production: error handling, edge cases, and code that scales. It's in much better shape once it's been checked, which is what Subak does.
You check it. The common problems (logic that drifts from what you asked, code that buckles under load, failures with no handling) are invisible in the working app and only show up when you look at the code. Subak looks for them and reports back in plain English.
Logic that doesn't match what you asked for, code that falls over under real load, missing error handling, unvalidated input, and architecture that makes the next change risky. These show up again and again in AI-built apps.
No. Subak is built for founders who built with AI and can't read the code themselves. Every finding is explained in plain language, with a fix you can hand straight to your AI tool.
You built the thing. Subak helps make sure it's ready for real users, so your launch is the story you wanted.