AI can speed up development tasks, but it can also introduce risk when code is accepted without understanding, testing or proper review.
Where AI can help developers
AI can be useful for explaining unfamiliar code, generating small examples, suggesting improvements, writing comments, drafting documentation and speeding up repetitive tasks. Used carefully, it can reduce friction.
Where AI can create problems
The danger comes when AI-generated code is copied into a live project without sufficient understanding. It may appear to work in isolation but cause performance, security or compatibility issues elsewhere.
Websites are systems, not isolated snippets
A business website may rely on templates, data, integrations, accessibility requirements, SEO considerations, security rules and hosting constraints. AI does not automatically understand all of that context.
Use AI with development discipline
The same standards should apply whether code is written by a person or suggested by AI: review, test, document, deploy carefully and monitor afterwards.
AI can support development by helping with
- Small code examples
- Documentation drafts
- Refactoring suggestions
- Error explanations
- Test case ideas
- Admin and reporting scripts
AI does not remove the need for experienced developers.
BBI uses technology pragmatically, but we also understand that business-critical websites need careful development, testing and long-term support.
Final thoughts
AI can be a valuable development assistant, but it should not be treated as a replacement for technical judgement.
The safest approach is to use AI where it improves speed, while keeping experienced developers responsible for quality, security and maintainability.