Visual Studio now has over 50 million users, and GitHub has 150 million users, with GitHub Copilot being used by more than 15 million developers.

Excel empowers non-coders to program, demonstrating that powerful tools can have a steep learning curve but ultimately provide significant capabilities.

The global developer community, estimated at 30 million, has the potential to generate trillions in value through increased productivity with AI tools.

The future of software engineering will see an increase in the number of programmers and engineers, as AI tools like Devon enable more efficient workflows and task management.

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

Microsoft predicts that by 2030, 95% of code will be generated by AI, highlighting the growing reliance on AI in software development. This shift emphasizes the need for new skill sets in the tech industry.

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especially in fields like industrial and semiconductor engineering, struggle with coding because their tools are outdated, often running on systems like Windows XP.

The demand for engineers will continue to grow as software development becomes more complex, and AI tools will augment rather than replace the need for skilled professionals.

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.