In the fast-paced world of digital design, staying ahead requires constant learning, adaptation, and efficiency. As a designer with experience in web development, animation, photography, videography, and AI integration, I’ve seen firsthand how artificial intelligence is reshaping the way we work. From streamlining mundane tasks to unlocking new creative possibilities, AI has become an essential tool in my workflow.
AI as a Creative and Technical Assistant
When people hear about AI in design, they often assume it’s just about automating repetitive tasks. While that’s a huge benefit, AI offers so much more. It acts as an intelligent assistant, helping me generate ideas, improve efficiency, and even enhance my learning curve. As I migrate from Adobe XD to Figma, I’m particularly excited about AI-driven text-to-design features, which can speed up wireframing and prototyping.
Mockups and wireframing are crucial parts of my design process. Traditionally, creating layouts involved sketching ideas, refining them, and manually structuring components. Now, with AI-assisted design tools like Figma’s AI integrations, I can generate prototypes faster, receive intelligent suggestions, and focus on refining the user experience rather than getting stuck on the initial setup.
Since I work with HTML, SCSS, JavaScript, WordPress, and Ruby on Rails, AI-powered code assistants like ChatGPT and GitHub Copilot have been game changers. These tools help me debug issues, generate code snippets, and optimize website performance. For example, when working on my custom WordPress plugin, ‘FullCircle,’ AI-assisted coding has significantly reduced development time and allowed me to explore new possibilities without getting bogged down by technical hurdles.
Additionally, the launch of Deepseek has opened new possibilities for advanced code editing and review. It provides more in-depth code analysis, helping me catch inefficiencies and improve performance. Furthermore, the integration of ChatGPT into Visual Studio Code now allows me to check and refine my code live as I work, reducing the time spent on troubleshooting and debugging.
A big part of UI/UX design involves understanding user behavior. AI-driven analytics tools help me gather insights on user interactions, heatmaps, and performance metrics. This allows me to make informed design decisions, ensuring a seamless and engaging experience for users.
AI as a Learning and Growth Tool
One of the most exciting aspects of AI is how it helps me learn and grow. Whether it’s refining my skills in Ruby on Rails, exploring new design methodologies, or staying updated on industry trends, AI-powered educational platforms and coding assistants provide instant feedback and resources. With Deepseek’s deeper code insights and ChatGPT’s live coding support in VS Code, my ability to learn and adapt has never been more efficient.
There’s a common fear that AI will replace designers, developers, and creatives. However, my experience has shown that AI is not a replacement—it’s a powerful tool that enhances creativity and productivity. It automates repetitive tasks, generates new ideas, and helps solve problems faster, allowing me to focus on what truly matters: innovation, storytelling, and human-centric design.
As AI continues to evolve, its role in design will only become more significant. From smart layout suggestions to AI-generated assets, we’re moving towards a future where creativity and technology blend seamlessly. By embracing AI, I’ve been able to work more efficiently, explore new creative avenues, and continuously expand my skill set.
For designers, developers, and content creators, AI is not just a trend—it’s a revolution. The key is to leverage it wisely, balancing automation with human creativity to create meaningful and impactful work.