Beyond the Vibe: Fixing the 44% Architecture Gap in AI-Built Apps

Quick answer: Vibe coding allows founders to build apps in hours, but SimplyScan's data reveals a 44% architecture gap in these projects. To ensure production readiness, builders must move logic to Server Actions and use automated security scanners to catch the 36% of critical vulnerabilities common in AI-built projects.

By Gabriel CA · Kraftwire Software

Vibe coding has transformed from a niche experimental workflow into a dominant force in software development. This shift allows founders to build complex Next.js applications in hours rather than months by describing intent through natural language prompts. However, the speed of the vibe often masks structural decay. While tools like Bolt.new, Lovable, and Cursor make it easy to generate functional UI, they frequently struggle with the invisible architecture that keeps an app secure and scalable.

In SimplyScan's scans of 186 AI-built apps, architecture issues appeared in 81 apps (44%). This Architecture Gap is the primary reason why vibe-coded apps often break the moment they face real-world traffic or security scrutiny. Building a production-ready application requires moving beyond simple prompting to intentional system design.

What Is Vibe Coding And Why Does Architecture Fail?

Vibe coding is a development style where the builder relies on AI agents to handle implementation details based on high-level descriptions. It prioritizes the vibe · the immediate visual and functional feedback · over the underlying system design. The failure in architecture usually stems from the AI's tendency to solve the immediate prompt without considering the broader system context.

For example, an AI might correctly build a dashboard but fail to implement a consistent data fetching pattern, leading to prop drilling or redundant API calls. This lack of a cohesive database design pattern creates a fragile codebase where a single change in the database schema can break dozens of disconnected components.

The Cost of Architectural Debt

When 44% of AI-built apps suffer from medium-severity architecture issues, the cost is both technical and financial. Poor architecture leads to:

• Circular dependencies that crash build pipelines.
• Inconsistent state management that causes ghost data in the UI.
• Hard-to-maintain code that requires a complete rewrite when adding a single feature.

How Can You Fix Next.js Architecture In Vibe Code?

Next.js is the preferred framework for vibe coding because of its file-based routing and server-side capabilities. However, AI agents often default to putting too much logic in the page.tsx files. To bridge the architecture gap, you must enforce a separation of concerns even when prompting.

• Move Logic to Server Actions: Avoid putting complex useEffect hooks for data fetching inside components. Prompt your AI to use Next.js Server Actions for all mutations and data fetching.
• Centralize Types: AI often creates duplicate TypeScript interfaces. Force the AI to use a single types/ directory.
• Use Service Layers: Instead of calling your database directly from a component, instruct the AI to create a services/ folder. This ensures that if you switch from Supabase to another provider, you only change one file.

By following a vibe coding security checklist, you can ensure that the AI respects these boundaries rather than taking the path of least resistance.

Is Your Vibe Coded App Leaking Data?

Security is the most critical victim of poor architecture. In SimplyScan's research, 67 of 186 apps (36%) had at least one high or critical severity issue. Many of these issues are architectural in nature, such as broken access control where the AI forgets to check user permissions on a specific API route.

Common Security Failures in AI Apps

• Exposed API Keys: AI agents often hardcode keys into frontend components.
• Missing RLS: In Supabase-based apps, AI frequently forgets to enable Row Level Security, leaving the entire database open to anyone with the URL.
• Unprotected Server Actions: Assuming that because a function is on the server, it is automatically secure.

To mitigate these, you should regularly use a security scanner specifically designed for AI-built apps. These tools look for the specific patterns of failure common to LLM-generated code, such as code injection risks.

Why Do Bolt AI and Lovable Apps Need Manual Audits?

Platforms like Bolt.new and Lovable.dev are incredibly powerful for rapid prototyping. They allow you to vibe an entire full-stack app into existence. However, the black box nature of AI generation means that the builder often doesn't know how the app works, only that it does work.

When using Lovable or Bolt, you should periodically stop vibing and perform a structural audit. Check for:

• Redundant Dependencies: AI often installs multiple libraries that do the same thing.
• Environment Variable Leaks: Ensure your .env files are not being committed to public repositories.
• Performance Bottlenecks: SimplyScan found that speed issues appeared in 128 of 186 apps (69%). This is often due to unoptimized images or massive client-side bundles generated by the AI.

How To Secure Supabase RLS In A Vibe Coded App?

Supabase is the backend of choice for the vibe coding movement, but it is also a common source of critical security leaks. The AI will often write perfect SQL for your tables but fail to write the RLS policies that actually protect the data.

The Vibe RLS Fix

Do not ask the AI to "make the database secure." Be specific. Use a prompt like:

"Generate PostgreSQL RLS policies for the 'profiles' table. Ensure that users can only read their own data based on auth.uid() and that no anonymous users can write to the table."

After the AI generates the code, verify it. You can use SimplyScan's Supabase checklist to ensure you haven't missed the anon key vulnerabilities or leaked password defaults.

Can You Automate Architecture Reviews For AI Code?

Manual review is the gold standard, but it doesn't scale with the speed of vibe coding. This is where automated tools like the SimplyScan MCP server come in. By integrating a scanner directly into your AI editor (like Cursor or Windsurf), you can catch architectural and security flaws as the AI writes them.

An MCP (Model Context Protocol) server allows the AI to see the results of a security scan. Instead of you finding a bug and telling the AI, the AI runs the scan, sees the security issues, and fixes them before you even commit the code. This creates a feedback loop that turns vibe coding into verified coding.

Why Does Speed Matter For Vibe Coded Apps?

While security and architecture are the foundation, performance is what users notice. The 69% of apps with speed issues in SimplyScan's data suggest that AI agents are not prioritizing performance security.

Next.js apps are particularly prone to layout shift and slow Time to First Byte when the AI fetches too much data on the client side. To fix this:

• Use next/image for all images.
• Implement streaming with Suspense boundaries.
• Use a speed optimization guide to identify which AI-generated components are bloating your bundle size.

Is Vibe Coding Ready For Production?

Vibe coding is no longer just for toy apps; it is being used to build production SaaS platforms. However, the transition from a vibe to a business requires a shift in mindset. You must move from being a prompter to being an architect.

Using SimplyScan is the fastest way to bridge this gap. In about 30 seconds, you can run a free scan that grades your app across 8 dimensions: security, speed, SEO, AI visibility (AEO), accessibility, GDPR signals, domain health, and email security.

With no signup required, you get a clear picture of whether your app is part of the 36% with critical issues or if your vibe is actually production-ready. SimplyScan detects everything from exposed API keys and weak Supabase RLS to broken auth and CSRF vulnerabilities. For founders who need ongoing peace of mind, Pro Monitoring at $24/month provides uptime tracking and scheduled rescans that integrate directly with Slack or GitHub.

Don't let a good vibe hide a bad architecture. Scan your app today and ensure your AI-built project is built to last.