Vibe coding, describing what you want to an AI assistant and accepting what comes back, has made a working prototype possible in an afternoon. It has also made it easy to ship something nobody on the team fully understands. For an agency, that is a liability, because the client’s trust (and your name) sits on top of that code.
Where does vibe coding genuinely help?
It is strong for first drafts, boilerplate, internal tools, throwaway prototypes and exploring options quickly. It is weak where mistakes are expensive: payments, authentication, personal data and anything that has to keep running reliably for years. AI speeds up typing. It does not take on accountability.
What should a human always review?
- Authentication and permissions. Who can see or change what? AI-written code often checks that a user is logged in but not that they own the record they are editing.
- Anything involving money. Pricing logic, discounts, refunds and webhooks need a human reading every line and testing the edge cases.
- Data handling. Where is personal data stored, logged or sent? Check error logs and third-party scripts as well as the database.
- Dependencies. AI tools happily add packages. Each one is code you now maintain, so check that it is real, maintained and necessary.
- Secrets. API keys pasted into front-end code or committed to a repository are a common find in AI-generated projects.
- Error handling. The happy path usually works. What happens when the payment fails, the API times out or the user enters something unexpected?
A simple review workflow
Start by asking the AI to explain the code it wrote, then confirm the explanation against what the code actually does. Next, run the app with deliberately bad inputs. Then have a second person, ideally a senior developer, read the diff for the risky areas above. Finally, add tests for anything touching money or permissions before it ships, not after the first incident.
Where do agencies get burned?
The common pattern is a fast demo that wins the deal, followed by weeks of unpicking code that was never designed to scale or be maintained. The prototype becomes the product because the client loved the demo, and the technical debt arrives on your timeline and your margin.
What does a sensible policy look like?
Treat AI output as a draft from a fast junior developer: useful, but never merged without review. Decide up front which parts of a project may be vibe-coded (prototypes, internal tooling, scaffolding) and which must be reviewed line by line (auth, payments, data). Write that policy into your delivery process so the whole team applies it the same way.
The takeaway
Vibe coding changes how fast you can start, not how carefully you must finish. Agencies that pair AI speed with real engineering review win on both delivery time and reliability. For more on how AI changes the economics of outsourced development, see our white-label web development cost breakdown.
How to hire Outsorcerer as your technical partner
If your team prototypes with AI but has no senior engineer to review what ships, that is exactly the gap we fill. We review, harden and finish AI-assisted builds under your brand, so the client only ever sees a stable product.
- Step 1: Book a free 15-minute call. Tell us the project, the market and the deadline. No generic quote, no sales script.
- Step 2: Get a scoped proposal. Fixed scope for a one-off build, or a monthly retainer for ongoing work. Regional pricing is on the Services page.
- Step 3: Start with a pilot. One small, real deliverable so you can judge our communication, quality and turnaround first.
- Step 4: Scale into a retainer. Your brand stays in front, our team stays behind it.
Book a free 15-minute call or contact us here if you’d rather write first.
