Many engineers, especially in fields like industrial and semiconductor engineering, struggle with coding because their tools are outdated, often running on systems like Windows XP.

AI tools can enhance programming productivity, allowing engineers to focus on creative problem-solving rather than repetitive tasks.

Engineers do much more than just write code; they review, test, debug, and design, which means we still need a significant number of engineers.

Many engineers find it intimidating to troubleshoot complex codebases, but being able to navigate them is a rare and powerful skill.

If software engineering continues to advance while computer use stagnates, it may lead to a misallocation of resources and talent.

As programming becomes more automated, professional developers will become significantly more productive, as the existing logic in large projects often slows down progress. Many companies are bottlenecked on engineering capacity, but I believe that will improve significantly, leading to the emergence of more niche software solutions.

Founders often get distracted by coding and overbuilding instead of focusing on understanding the core problems their users face.

The nature of software development work is cognitively intensive, yet developers rarely have uninterrupted time to focus on coding due to constant demands for communication and responsiveness.

Many companies still have policies that restrict engineers from using AI-assisted coding, which needs to change for better productivity.