{"id":510,"date":"2026-10-09T11:30:10","date_gmt":"2026-10-09T11:30:10","guid":{"rendered":"https:\/\/www.codingsprint.co.uk\/blog\/?p=510"},"modified":"2026-10-09T11:30:10","modified_gmt":"2026-10-09T11:30:10","slug":"vibe-coding-to-production","status":"publish","type":"post","link":"https:\/\/www.codingsprint.co.uk\/blog\/vibe-coding-to-production\/","title":{"rendered":"Vibe Coding: Can You Really Build Production-Ready Software With AI?"},"content":{"rendered":"

AI tools now make it possible for someone with no coding experience to build a working app in a few days. They describe what they want, the tool writes the code, and the result looks ready to launch. The harder question comes next: is it safe to put in front of customers?<\/span><\/p>\n

Nowadays, many businesses are asking this question while comparing <\/span>AI development services<\/a>. AI can help you build production-ready software. But an app that is mostly built by vibe coding often needs some more work before it can be used by real users with real data.<\/span><\/p>\n

In this article, we’ll look at what vibe coding is, where it falls short, and what it takes to turn an AI-built app into software you can safely launch.\u00a0\u00a0<\/span><\/p>\n

What is vibe coding?<\/b><\/h2>\n

Vibe coding is a way to make software in which you tell an AI tool what you want in natural language, and it writes the code. The person making the app is not designing its architecture. They enter a prompt, look at the output, and loop until the app works.<\/span><\/p>\n

The term took off in early 2025, after AI researcher Andrej Karpathy used it in a post on X to describe this prompt-led approach. Tools such as Cursor, Replit, and Lovable have since opened it up to people with no programming background.<\/span><\/p>\n

It’s genuinely useful for prototypes, internal tools, and testing an idea before committing a budget to it. Trouble starts when a prototype goes live as the finished product without further checks.<\/span><\/p>\n

How many businesses are using AI to write code?<\/b><\/h2>\n

A lot, and the number is increasing fast.<\/span> Gartner<\/span><\/a> predicts that by 2028, 90% of enterprise software engineers will use AI code assistants, up from less than 14% in early 2024.\u00a0<\/span><\/p>\n

That doesn’t mean most software will be vibe coded. Most professional teams use AI to support a structured process. It does mean that AI-written code will sit inside most of the systems your business relies on, including those built by your suppliers. Knowing how to check its quality is now part of buying software.<\/span><\/p>\n

Why isn’t vibe-coded software ready for production?<\/b><\/h2>\n

AI tools are built to produce code that works in demos. Real users, unexpected data, and future changes pose challenges for production software, and AI-generated prototypes seldom undergo testing to address these issues.<\/span><\/p>\n

Common problems in vibe-coded applications include:\u00a0<\/b><\/p>\n