Today, with just one week left before the Vietnamese Lunar New Year, I want to share a few reflections on a decade of building dedicated BIM software.

I have witnessed many waves of change since I began my career. Yet a surprising number of software problems have persisted for decades. Almost software I see today still struggles with issues that were present 10 or even 20 years ago.

I met many good people in time when I started until now. Some have become close friends, while others I only see occasionally at conferences or online. I’m grateful for the relationships built over the years.

The most striking shift has been the impact of AI tools on software development workflows. They can be immensely helpful, but also harmful when used without discipline. However, I believe the future remains bright for those willing to adapt and learn. Overall , automation still and important part and will continue to grow in significance than AI alone. The business need to look at the impact of AI think compare with the impact of automation, which more valueable in long term.

Open‑source software has increasingly become a headache for me as AI agents produce messy, hard‑to‑maintain code. It’s scattered across GitHub and other repositories, making it harder than ever to find high‑quality source code.

I’m glad to see engineers getting more involved in automation and applying AI to their processes. It saves time and lets them focus on higher‑value work. But it also means you must control your data carefully. The internet is not always correct, and AI is generating a lot of misleading information.

Professional engineers are now on par with many new software developers because AI handles much of the basic boilerplate. This makes software development more competitive than ever. I believe companies will increasingly hire experienced programmers to fix and optimize AI‑generated code in the years ahead.

What Comes Next?

Looking ahead, I see a few key trends shaping the future of BIM software:

• AI‑Driven Design: AI will play a larger role in automating design tasks, generating models, and optimizing workflows. However, human oversight will remain crucial to ensure quality and creativity.

• Cloud Collaboration: Cloud‑based BIM platforms will continue to grow, enabling real‑time collaboration across teams and geographies. This will enhance project coordination and reduce errors.

• Data Integration: BIM software will increasingly integrate with other construction technologies, such as IoT devices and project management tools, to provide a more holistic view of projects.

• Sustainability Focus: As sustainability becomes a priority, BIM tools will evolve to support green building practices, energy analysis, and lifecycle assessments.

• Speed and Efficiency: With advancements in computing power and AI, BIM software will become faster. Nowadays, users expect instant feedback and real-time updates, pushing developers to optimize performance continually.

Hardware Evolution

• The hardware always come first, before the software. Over the past decade, we've seen significant advancements in hardware capabilities, from more powerful processors to enhanced graphics cards. These improvements have enabled BIM software to handle larger datasets and more complex models, leading to better performance and user experiences.

Conclusion

I now look beyond the narrow lens of BIM and into a broader view spanning software development and construction. I remain focused on progressive data workflows that help businesses operate more efficiently. But I also recognize that technology is only part of the story. People, processes, and organizational culture are equally critical to long‑term success.

Wishing you a prosperous new year and success in every area of life!