The evolution of programming languages has led to higher abstractions, allowing for easier coding, but the artistry and design in software development remain crucial.

In today's software development environment, the quality of decisions made by developers is becoming more important than the sheer volume of work done, as tools increasingly handle repetitive tasks.

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.

AI tools can assist in coding, but the real-world complexities of software development require human insight and creativity to navigate effectively.

Software engineering has always been about having the right tools to bring ideas to life and tame complexity.

The future of software development will involve more people, including those in non-technical roles, building their own software tools, but they will still need to make critical decisions about functionality and metrics.

AI tools are changing the landscape of software engineering, lowering the entry barrier and potentially increasing the number of people creating software.

The world has a growing demand for software, and providing tools for more effective software development will lead to increased productivity for coders.

The rise of AI programmers is changing the landscape of software development, but there are still limitations in building complex systems.