The Risks of Using AI-Generated Code in Your Technology Projects

With the rapid rise of generative AI tools in recent years, organisations are increasingly tempted to rely on AI to automate the creation of code, accelerate development, and reduce costs. Platforms such as GitHub Copilot, OpenAI Codex, and others promise to transform how we build software. However, beneath the marketing gloss lies a host of risks that can jeopardise your technology projects — especially when adopting AI-generated code without due diligence.

Why Does AI-Generated Code Go Wrong?

Let’s break down the key risks associated with entrusting generative AI with your codebase:

1. Quality and Reliability Concerns
   AI models generate code based on their training data, which doesn’t guarantee correctness, security, or style consistency. The code produced can have subtle bugs, vulnerabilities, or performance issues that aren’t immediately obvious. Unlike seasoned developers, AI systems lack domain-specific judgement and context.

2. Lack of Transparency and Explainability
   When code is automatically produced, understanding why it was written a certain way — or how it works — becomes difficult. This lack of explainability complicates debugging, auditing, and compliance efforts.

3. Security Risks
   Automated code can unwittingly introduce security flaws or reuse insecure patterns seen in its training data. If unchecked, these vulnerabilities can be exploited, resulting in breaches, data loss, or compliance penalties.

4. Intellectual Property and Licensing Issues
   Generative models are often trained on vast sources of public code, some of which may be proprietary or licensed under restrictive terms. Without careful scrutiny, you risk inadvertently breaching intellectual property rights if the AI reproduces such code.

5. Technical Debt and Maintenance Nightmares
   Machine-generated code, especially when not well documented or aligned with project standards, can become “spaghetti code”. Future developers may struggle to understand or improve the system, increasing long-term maintenance costs and slowing innovation.

6. False Sense of Productivity
   The speed at which AI can churn out code is alluring. Yet, volume does not equal quality. Organisations may celebrate initial rapid progress, only to suffer later when hidden flaws, failures, and rework emerge, echoing the high failure rate MIT observed.

How to Mitigate the Risks:

Organisations succeeding with AI projects employ several best practices, which are essential to apply when considering AI-generated code:

• Keep Humans in the Loop
  Use AI as an assistant, not a replacement. Skilled developers should review, test, and adapt machine-generated code rather than deploying it wholesale.

• Establish Clear Governance
  Develop policies for code review, validation, and security testing. Maintain a transparent process for tracking where generative tools have contributed to your codebase.

• Invest in Training and Change Management
  Upskill your team to understand the strengths and limitations of generative AI, fostering a responsible and informed approach.

• Prioritise Explainability and Documentation
  Demand thorough documentation for any code written — whether by humans or machines — to safeguard future maintainability.

Enhance, Don’t Replace

AI-generated code has the potential to revolutionise software development, but it is not a cure-all. With most enterprise AI projects failing, often due to overconfidence and lack of oversight, taking a measured and risk-aware approach is critical. Treat generative AI as a powerful tool — but remember, it cannot yet replace the experience, judgement, and contextual awareness of human professionals. Invest in best practice, maintain rigorous standards, and you’ll be better placed to join the select few who harness AI successfully.

Roq is sponsoring the UK IT Leaders Community Day in Manchester on 24th September 2025 and hosting a breakout session entitled 'AI at Speed, Quality at Risk', in which we will be discussing this topic and others in more detail. We'd love to see you there! Find out more about the event, or get in touch to discuss how Roq's solutions can support your organisation.