The initial demo is always flawless. A few natural language prompts are typed into an AI agent, and moments later, a sleek web application materializes. “Vibe coding” has democratized software creation, allowing anyone with an idea to conjure interfaces out of thin air. It feels like the ultimate hack for launching a repeatable SaaS subscription model at lightning speed.
But what happens when the vibes wear off and real users hit the application? Underneath the polished CSS, a purely AI-generated application often hides a fragile, unmaintainable house of cards. When developers substitute rigorous engineering for prompt and pray iteration, critical structural elements are bypassed. Here is a look at what the vibe coding movement consistently misses when building for production.
The Stackless Trap and Vendor Lock-In
True software engineering begins with deliberate architecture. Vibe coders often skip defining a tech stack entirely, letting the AI choose the path of least resistance. Instead of thoughtfully pairing a TypeScript backend with a robust framework, the AI defaults to heavily abstracted, quick-start templates tightly coupled to expensive Backend-as-a-Service (BaaS) providers.
Because the creator doesn’t understand the underlying infrastructure, they become completely locked into these paid services. When the app inevitably needs to scale, pivot, or optimize, migrating away from that black box requires a total rewrite.
JSON Files Are Not a Database
AI models optimize for immediate, visible results. Setting up database schemas, handling migrations, and writing complex joins takes time and context. The AI’s frequent solution? Just read and write data to a flat JSON file.
While dumping state into a .json file works perfectly for a local prototype, it is a catastrophic choice for a multi-tenant web app. It introduces race conditions, corrupts data on concurrent saves, and lacks any relational integrity. Real applications require the transactional safety and querying power of a proper relational database like PostgreSQL and if spatial data is involved, extensions like PostGIS – not a text document masquerading as a backend.
Exposed Secrets and Security Nightmares
Vibe coding treats the happy path as the only path. The AI rarely pauses to set up secure environment variables or credential vaults unless explicitly commanded to do so. As a result, API keys, database passwords, and cloud credentials frequently end up hardcoded directly into the client-side JavaScript. Authentication logic is often mishandled, relying on client-side checks that can be easily bypassed by any user with a web inspector. What starts as a quick prototype quickly becomes a massive vulnerability the moment it is deployed to a public URL.
Runaway AI Bills and Spaghetti Logic
When creators don’t understand the underlying code, they use AI to patch AI. If a feature doesn’t work, they add another prompt. The result is a bloated, inefficient codebase where simple conditional logic is inexplicably offloaded to expensive LLM API calls. Instead of writing a standard filtering function in Node.js, the application might send entire datasets back to an AI endpoint to be sorted. This racks up massive inference bills and slows the application to a crawl. The codebase itself becomes a tangled mess of patched fixes that no human can actually read, debug, or optimize.
The “Looks Good, Doesn’t Function” Mirage
Vibe-coded applications are often the movie sets of the internet: beautiful storefronts with nothing behind the door. The AI excels at generating sleek UI components, but it frequently fails to wire them up to global state management.
Buttons click with satisfying animations but trigger no backend mutation. Forms submit beautifully but swallow the data into the void. When building in modern reactive frameworks like Vue.js, state must be deliberately mounted and managed across components. AI often fakes this interactivity, creating the illusion of a working app that instantly shatters the moment a user does something slightly unexpected.
The Verdict: Architecture Over Vibes
There is a massive difference between blindly generating code and using intelligent tools to accelerate a structured vision.
If the goal is to build scalable, high-velocity software, the foundation matters. This doesn’t mean everything must be hand-coded from scratch. Modern development embraces efficiency, whether that means utilizing an agent-first IDE like Antigravity to speed up scaffolding, or leveraging robust, enterprise-grade low-code platforms like Netcall’s Liberty Create to visually orchestrate complex backend workflows.
The distinction lies in control. True development relies on predictable environments, deliberate data models, and a clear understanding of the execution flow. Vibe coding, by contrast, relies on hope. And hope is a terrible tech stack.