Vibe Coding Review
Find out what your AI-generated code will actually do in production — before it does it.
- Code Review
- Security Assessment
- Architecture Review
- AI-Generated Code
What Is a Vibe Coding Review?
Vibe coding — using AI tools like Cursor, GitHub Copilot, or Claude to generate code quickly — can produce working software fast. What it doesn't produce, by default, is secure, maintainable, or production-ready software.
A vibe coding review is a structured assessment of AI-generated code by an experienced development team. We read through what was built, identify the problems that aren't visible on the surface, and give you a clear picture of where things stand — what's solid, what's risky, and what needs to be fixed before this code goes anywhere it matters.
The output is a documented set of findings with a severity rating for each issue, and a conversation to walk through what they mean and what to do about them. You don't have to act on everything immediately — but you'll know exactly what you're carrying.
Why Vibe Coding Review?
AI-generated code tends to have a consistent set of problems: exposed API keys, SQL injection vulnerabilities, no input validation, no error handling, dependencies with known security issues, and architecture that works fine at one user but breaks at fifty. None of this is visible from the outside. The app looks like it works — because for a prototype with two users, it does.
The risk shows up when the code moves: when a founder hands it to a development team and the team has to unpick what was built, when an internal tool gets rolled out to the whole business, or when a client builds on top of it and finds out it doesn't hold up.
A review before that happens is significantly cheaper than a rescue after.
You might need this if:
- You built a prototype or MVP using AI coding tools and want to know what you're actually sitting on before raising or launching
- Your team has been using AI to ship internal tools quickly and you want a check before rolling them out more broadly
- You've received code that was AI-generated — from an agency, a contractor, or a partner — and want an independent assessment before building on it
- You're handing off a vibe-coded codebase to a development team and want to know what you're asking them to inherit
How We Approach a Vibe Coding Review?
Read the code — not just the summary We review the actual codebase, not a description of it. That means reading the code, running it where relevant, and looking at what it does rather than what it's supposed to do.
Focus on the risks that matter Not every issue in an AI-generated codebase is urgent. We prioritise by severity — security vulnerabilities that need to be fixed now, architectural problems that need to be addressed before scale, and quality issues that will create cost and drag over time. You get a clear picture of what's critical, what's important, and what can wait.
Document findings clearly Every finding is documented with a description, a severity rating, and a recommendation. The output isn't a code dump — it's a structured document you can act on, share with a team, or use to brief a developer.
Walk through it with you The review findings are worth more when someone can explain them. We walk you through the document, answer questions, and help you understand what the recommendations actually mean for your situation — whether that's a quick fix list or a decision about what to rebuild.
Key Benefits
Benefit 1: Know what you have before it becomes a problem AI-generated code that looks fine on the surface can carry real security and stability risks. A review before the code is in production or in more people's hands is significantly cheaper than a fix after something goes wrong.
Benefit 2: Independent, experienced eyes Sentia's team has built production software across complex integrations, enterprise clients, and regulated industries. We know what production-ready code looks like — and we know where AI tools tend to cut corners.
Benefit 3: A document you can actually use The findings aren't delivered as verbal feedback. You get a structured report — with severity ratings and recommendations — that you can share with your team, use in a brief to a developer, or reference when making decisions about what to fix.
Benefit 4: A clear next step, not just a verdict A review isn't a pass/fail. It tells you where things stand and what to do next — whether that's a targeted fix, a more thorough engagement, or a decision to rebuild a specific part before going further.