The hardest part of programming for me was when I knew everything about a codebase, leading to a lack of creativity and excitement in my work.

The belief that productivity is the only thing that matters in programming can lead to overlooking the importance of deep learning and complex problem-solving.

I learned the importance of understanding existing code when I tried to rewrite a solution without realizing it was already effectively solved by someone else.

When faced with limitations, like not having enough programmers, consider turning the problem around; what seems like a defect can become an asset.

The challenge with AI in programming is that while it democratizes access to information, it may lead to a generation of programmers who rely too heavily on it and don't learn the fundamentals.

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.

Programming is not just a job; it's a source of joy and meaning. Creating something that others use is fulfilling and fun.

The vibe coding approach, where you code without fully understanding the code, doesn't work well in complex projects with many contributors.

The worst thing that can happen to someone creating a product is apathy; if nobody cares about what you've made, that's a failure. The second worst scenario is when everyone is satisfied, indicating there's nothing left to improve.