Shadow AI Code and the invisible technical debt of Vibe Coding

Developers and business users are adopting AI tools at a frantic pace to generate features in just a few minutes. However, this race is fueling a dangerous phenomenon: Shadow AI Code.

What Shadow AI Code is and why you should know about it

Just like Shadow IT, which has historically come to account for as much as 40% of corporate IT spending^[1], Shadow AI Code occurs when staff use artificial intelligence tools outside the channels approved by the IT department.

The risk is enormous: an estimated 35% of AI tool usage in software development takes place through unmanaged personal accounts^[2]. This creates a security and compliance blind spot, where sensitive data and intellectual property can leave the protected corporate environment. 

Vibe Coding and the looming software quality crisis 

Vibe Coding promises speed, but it hides deep pitfalls. Gartner® states that, “By 2028, prompt-to-app approaches adopted by citizen developers will increase software defects by 2500%, triggering a software quality and reliability crisis."^[3] 

The problem is not limited to citizen developers, because it can affect any developers within a company who rely on AI without full architectural awareness or careful code review. This creates technical debt that is difficult to maintain, making the code unfit for production systems. 

The growing risk created by the combination of these two factors

Prioritizing immediate speed through ungoverned prompts can turn digital assets into systemic liabilities, undermining the company’s long-term stability, because... 

• Repair costs can explode (Remediation): Fixing these deep contextual bugs is exponentially more expensive than fixing traditional bugs, ultimately “hijacking” the budgets originally intended for innovation. 

• Invisible liabilities can be created: Unlike traditional Shadow IT, Shadow AI Code remains invisible until it breaks, leaving blocks of code inside corporate infrastructure that no one truly understands and that make systems more unstable and more vulnerable to security risks.

While there may be short-term savings in development costs, in the medium to long term those costs can increase dramatically, silently accumulating over time and only becoming visible when they are no longer sustainable—ultimately leading to the loss of the original investment made in developing enterprise solutions.  

Low-Code: the same speed, without the risk of higher costs, lower quality, and with platform governance 

If generative AI is a powerful but often undisciplined assistant, Low-Code platforms are now well-established and reliable technologies that bring rigorous structure to software development.

Gartner states that Low-Code Application Platforms, “LCAPs generally generate less unnecessary code than traditional coding approaches or vibe-coding tools. LCAPs abstract boilerplate code through visual models, reusable components and declarative configuration. An LCAP generates only necessary runtime logic behind the scenes, most of which the developer never sees or maintains”^[4] 

Low-Code does exactly what an AI assistant promises: accelerate software creation, but with unique structural advantages... 

• Standardization and Quality: Unlike the variable output of AI, Low-Code enforces coding rules and architectural standards guaranteed by the platform. 

• Reduced Technical Debt: Visual models allow the reuse of already validated components and, by updating the platform, code can be automatically regenerated to keep pace with technological progress.

• No need to review generated code: Unlike Vibe Coding, the time required for code review is saved thanks to the architectural consistency guaranteed by the platform. 

• Centralized Governance: Low-Code turns “invisible” departmental activities into a transparent and governed environment, eliminating the data security risks typical of Shadow IT and Shadow AI.

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Sources

[1] How to avoid wasting 40% of your budget on Shadow IT

[2] https://www.sonarsource.com/blog/shadow-ai-is-already-writing-your-code

[3] Gartner, Predicts 2026: AI Potential and Risks Emerge in Software Engineering Technologies, Annie Hodgkins, Brent Stewart, Howard Dodd, Joachim Herschmann, Philip Walsh, Arun Batchu, 3 December 2025. GARTNER is a trademark of Gartner, Inc. and/or its affiliates.

[4] Gartner, Why AI Won’t Replace the Need for Low-Code Application Platforms, Adrian Leow, Kyle Davis, 7 October 2025.