Nigel Hunt - Short Bio

Nigel Hunt has spent more than three decades working at the intersection of architectural visualisation, visual effects, filmmaking, software development, and creative entrepreneurship. Best known as the co-founder and CEO of SiNi Software,

Nigel has been involved in the evolution of computer-generated imagery since the early days of architectural rendering in the 1990s. Alongside building SiNi into one of the industry's leading workflow tool developers, he has directed and produced visual effects, animation, and architectural visualisation projects across more than 2,500 productions in over 40 countries. His career has also included founding creative studios, mentoring artists, judging international awards, publishing industry content, and helping build communities through events such as 3ds London and Uplift London. Throughout that journey, a recurring theme has been the desire to remove technical barriers so creatives can focus on storytelling, image-making, and innovation.

Although Nigel is not a professional software developer, he has spent much of his career working closely alongside programmers, first through internal development teams and co-founding the world's first online 3D furniture library in 1998, and later through SiNi Software itself. His introduction to AI-assisted coding came from a practical business need: accelerating development and removing time spent on repetitive tasks. Today, he uses vibe coding to rapidly prototype ideas, expand product development, and help create bespoke tools for artists and designers. Having spent decades watching technology transform the creative industries, he sees AI coding as another major inflection point, one that gives non-programmers the ability to build useful software while allowing experienced developers to focus on more complex engineering challenges. At SiNi, AI has become a force multiplier that increases development capacity rather than replacing human expertise.

For Nigel, the greatest advantage of vibe coding is democratisation. Architects, visualisers, designers, and artists can now create their own scripts, plugins, and applications without needing years of formal software training. However, he is equally aware of its limitations. AI can dramatically accelerate development, but it regularly reaches a "glass ceiling" where deeper technical understanding is still required. In his experience, the most successful workflows combine AI-generated output with human judgement, testing, and problem-solving. This is particularly important when developing production-ready tools where reliability, scalability, and user experience matter.

Advice

His advice to newcomers is simple: invest time in creating clear documentation and structured knowledge before asking AI to generate code. Well-organised markdown files, workflows, coding standards, and project requirements give AI the context it needs to work effectively and consistently. Without that foundation, AI quickly loses focus and wastes both time and resources. 

More broadly, Nigel believes AI should be viewed as a creative partner rather than a replacement for expertise. Just as advances in rendering technology allowed artists to focus more on composition and storytelling, AI coding is allowing a new generation of creators to build tools that solve their own problems and shape the future of their industries.