Question 1

Why wouldn't I just hire engineers to fix this instead of bringing in an outside team?

Accepted Answer

Hiring takes 3–6 months and runs $150K–$200K per engineer per year — and that's before they've learned your codebase. AI-generated code has its own failure patterns that most traditional engineers haven't worked with before. For a full hire-vs-partner comparison, see How we engage or contact us for a scoping call. In short: a viteus.ai team is live within two weeks, specialized in AI-built code, with no recruitment fee and 30 days notice to scale up or down.

Question 2

Won't bringing in an outside team slow my roadmap down while they get up to speed?

Accepted Answer

Most outside teams would, but AI-generated codebases are all we work with, so there's no "getting up to speed" phase the way there would be with a generalist agency or a new hire. We work in your tools, your repos, and your standups from day one, on two-week sprint cycles with full visibility throughout. The more common experience is the opposite: founders who've been firefighting bugs every night find that having a dedicated team handling that layer frees them up to actually move the roadmap forward instead of being stuck in the weeds.

Question 3

How is this different from just handing it to our internal IT team to productionize?

Accepted Answer

Internal IT teams are typically backlogged 6–18 months and weren't built to work with AI-generated code — their instinct is usually to rebuild from scratch, which means months of delay and $50K–$500K in rebuild costs before anything is production-ready. viteus.ai works with what already exists. We stabilize, refactor, and harden the app you have rather than replacing it, which means your prototype gets to production in weeks, not quarters, without waiting in an internal queue or losing the momentum that got the board excited in the first place.

Question 4

What if something breaks again after you fix it, are we just dependent on you forever?

Accepted Answer

That's exactly the dynamic we're designed to avoid. Every engagement includes capability transfer: we document the architecture, set up proper monitoring and observability, and build the kind of test coverage and CI/CD pipelines that mean your team can see problems before users do, not after. If you want ongoing support, we offer SLA-backed Run retainers starting at $3,000/month. If you'd rather hand it back to your team once it's stable, we hand it back clean with a full health report, runbook, and no lock-in beyond 30 days notice. The goal is that you own the engine, not us.

Question 5

Why viteus.ai over a traditional dev agency or MSP?

Accepted Answer

Traditional dev agencies want to rebuild from scratch — it's how they bill. Traditional MSPs don't understand AI-generated code; they were built for legacy enterprise systems. Neither was designed for the specific problem of a vibe-coded app that works but isn't production-ready. viteus.ai sits in the middle: we fix and evolve what you already have, using engineers who work with Cursor, Claude Code, and Copilot daily. We understand how AI-generated code fails, where the security gaps typically live, and what it takes to make it scale.

Question 6

How do I know your team will actually understand my app? It was built with AI tools, most engineers don't know how to work with that kind of code.

Accepted Answer

You're right that most don't, that's why we built a team specifically for this. Our engineers use Cursor, Claude Code, and Copilot as their default tools. They understand the patterns AI code produces, the ways it tends to fail at scale, and how to refactor it without breaking what already works. AI-generated codebases have specific failure modes — excessive I/O operations, missing error boundaries, security gaps from skipped validation — that generalist engineers often misdiagnose. We've seen enough of them to know exactly where to look first.

Question 7

This feels expensive for something my team already half-built. Can't we just patch it ourselves?

Accepted Answer

Patching works until it doesn't. When it stops working, it usually stops at the worst possible moment: month-end close, a major customer demo, a scaling push. The average cost to rebuild a vibe-coded app from scratch runs $50K–$500K, and that's before the cost of downtime, lost trust, or the engineering time spent firefighting instead of building. An Audit starts at $2,500 and gives you a clear picture of exactly what's at risk and what it would actually take to fix it, so you're making the patch-vs-fix decision with real information rather than guessing. Most clients find the Audit pays for itself in the first avoided incident.

Question 8

What stops this from becoming another vendor I'm permanently dependent on?

Accepted Answer

Nothing about our model requires permanent engagement. One-shot services like Audit and Rescue are fixed scope with a defined end point — you get the deliverable, you own it, and you're done if that's what you want. For ongoing Run or Build & Evolve retainers, the contract is monthly with 30 days notice to scale up, down, or out. No long-term lock-in, no recruitment fees, no penalty for leaving. More practically: every engagement is built around transfer, not dependency. We set up your monitoring, document your architecture, and build the test coverage your team needs to run things independently. The measure of a good engagement is that you need us less over time, not more.

Question 9

Can't I just feed the broken code back into ChatGPT or Cursor and let it fix itself?

Accepted Answer

For small, well-scoped bugs — sometimes yes. But the problems that show up at Stage 3 of a vibe-coded app's lifecycle (load issues, auth failures, data corruption, security gaps) aren't single-file fixes. They're architectural: the way the app handles state, the way it manages I/O, the way it authenticates users across edge cases. AI tools are good at generating code in isolation; they don't have context over the whole system, and they don't know what they don't know about production behavior. That's the gap we fill — engineers who can read the whole codebase, understand how the pieces interact under real load, and make fixes that hold rather than fixes that work in a demo.

Question 10

We need this fixed now, how long does this actually take before we see results?

Accepted Answer

Depends on where you're starting. An Audit (diagnosing what's wrong) takes 2–5 business days for most apps. A Rescue (actually fixing it) ranges from 3–5 days for a targeted spot fix to 2–3 weeks for a full stabilization. A Run retainer can be live within two weeks of first contact. The full process from first call to live support typically runs about two weeks: Discovery in week 1–2, Technical Assessment in weeks 2–5, and Execution starting from there. If there's a specific incident already happening, we can scope an emergency Rescue faster than the standard process.

Question 11

Who owns the code after you fix it? Do we get full access to everything?

Accepted Answer

You own everything, always. We work in your repos, not ours. All code, documentation, architecture decisions, and test suites are in your tools from day one and stay there when we're done. There's no proprietary layer, no viteus.ai-specific infrastructure you'd need to maintain, and no handoff process to worry about because we never took ownership in the first place.

Question 12

Your team is Vietnam-based, how does that affect communication, timezone, and quality?

Accepted Answer

Vietnam puts our engineers in the same timezone band as APAC clients (Singapore, Australia, Japan) and within a reasonable overlap window for US and EU teams. Communication runs through your tools (Slack, Teams, Jira, whatever you already use) with weekly steercos, sprint standups, and a Viteus Delivery Lead as your single point of contact. On quality: our engineers aren't new to AI tools — Cursor, Claude Code, and Copilot are their daily defaults, not tools they're learning on your project. Vietnam-based delivery also means 30–50% cost savings compared to US, EU, or Singapore rates, which is part of how we can offer a full cross-functional team at a retainer price most companies would expect to pay for one mid-level hire.

viteus.ai: Frequently Asked Questions

Persona-Specific Objections

General Objections

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