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.

Quality in product development often suffers because companies prioritize task completion over quality; we need to incentivize quality work.

The complexity of programming tools has increased over time, making software development feel more like a domain for experts rather than something accessible to everyone.

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.

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.

AI tools are enabling smaller software teams to accomplish what previously required larger teams, which will lead to improved product design and quality.

As AI tools handle more low-level programming tasks, the role of software designers will increasingly focus on higher-level design, making software design more important than ever.

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

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