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The Data Scientist

When Designers and Engineers Collaborate, They Build Better Websites

You must also have started to believe that UX designers should learn to code or explore AI-augmented website development processes to achieve better outcomes. While the idea sounds exciting and promising, the reality is that even AI agents went through years of conditioning and training to understand computation before delivering coding capabilities. In fact, their functional code still lacks maturity, reliability, and contextual understanding in many areas. What does this mean? Only an engineer understands why a JavaScript event handler created a particular piece of code. They know the logic and technical reasons. Designers cannot match this simply because they have access to AI-powered tools. 

To be precise, designers and engineers can collaborate and create more powerful websites. Their combined expertise is needed to achieve usability, aesthetics, functionality, and performance. You should find a web design company where designers and engineers work closely to deliver a production-ready interface. This can help avoid unwanted website performance issues and challenges.

Risks of designer-generated AI code

It’s encouraging to hear how AI tools are making website design and development tasks simpler day by day. Unfortunately, most people fail to notice the dangerous notion that this popular discussion is silently propagating: a UX designer can be a coder. Fundamentally, you should understand that this is just like expecting your cook to handle your plumbing job. If you rely too much on designer-generated AI code, you are basically inviting the following troubles, including poor code quality, lack of scalability, and maintenance issues.

  • Poor performance 

Human-written code tends to be less verbose than AI-generated code. AI agents can duplicate code up to 4 times more often. It can affect a web page’s load time. Multiple CSS files may be generated, increasing page weight. All of this can negatively affect SEO performance. Users may also leave the site due to slow screen readers or poor connection performance.

  • Security risks

Recent findings suggest that many AI-generated code repositories contain at least one major vulnerability. A designer may use an AI agent to create a functional login form without knowing that its XSS defense is significantly weakened. Unfortunately, it empowers hackers to attack websites with malicious scripts and gain unauthorized access to private data.

  • Unoptimized code

An engineer understands the importance of the prompts. Hence, they can handle AI-generated code more effectively and refine the output as needed. Designers cannot examine code as they lack technical knowledge. As a result, there can be several quality issues in the website design. You can face issues with inconsistent design and maintenance.

  • Debugging challenges

A designer may not fully understand how AI-generated code works. That’s why a dead end is reached when code behaves strangely. It hampers the scope of debugging because your designer cannot identify and fix errors.

Final thoughts

A website design should be both functional and aesthetic. A designer who is mediocre at coding cannot be trusted with it. Instead, you need a designer who can work with an engineer who is an expert in AI technologies. A designer can manage intent, user flow, and accessibility. An engineer can handle architecture, performance, and technical implementation. For website design and development projects, you can contact BigDropInc.com.