I-Finity Sees Increase in Fix Requests for AI-First Builds

YORK, U.K. - EntSun -- I-Finity is asking businesses to not confuse AI-built prototypes with production-ready software, after seeing a noticeable increase in requests to fix AI-generated software applications.

The York-based custom software development agency says many organisations are turning to AI tools to build apps, platforms, and internal tools quickly, only to encounter issues when attempting to deploy or scale them.

Industry surveys and academic research support these findings, showing that AI-generated code can contain measurable security vulnerabilities and logic flaws.

As more organisations rush to ship AI-built products, the gap between prototype and production-ready software is becoming increasingly costly.

AI-generated code can be highly effective for creating quick demos, proofs of concept, and early prototypes. However, businesses are finding that many AI-first builds struggle with bugs, performance issues, scalability, and complex compliance requirements once exposed to real-world usage.

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Russ Huntington, Chief Technology Officer at I-Finity, said: "AI is brilliant for exploring ideas quickly, but we're seeing a growing number of businesses discovering that their AI-built apps simply aren't designed to scale or meet compliance requirements."

AI coding on the rise

So-called "vibe coding", where people rely on AI tools to generate code, is becoming increasingly common.

Searches for the term have risen from virtually zero two years ago to more than 33,000 searches per month.

Russ added: "Vibe coding helps lower the barrier to entry, reduce upfront costs, and allows teams to explore ideas without committing to a full development cycle. But when those early builds are pushed further than they were designed for they often fail.

"And if issues around GDPR and secure data storage aren't addressed early on, a quick-fix AI app can quickly become a significant risk."

Vibe coding is also being used by professionals - 84% of developers use AI coding tools in their workflows with these tools responsible for around 41% of all code being written in production environments.

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And this has led to issues with nearly half of developers reporting quality issues or incorrect outputs from AI coding tools.

A survey from Sonar found that while 72% of developers use AI tools daily, less than half consistently reviewed the code.

Independent research from Cornell University found that AI-generated code can contain measurable security vulnerabilities and logic issues. Quality of the final code varies significantly between tools.

I-Finity is advising businesses to treat AI as a starting point — not a substitute for proper engineering or a custom software development team (https://www.i-finity.co.uk/services/custom-software-development).