The future of programming will involve a more effortless translation of ideas into software, reducing the need for detailed coding.

The future of programming may involve a hybrid approach where AI assists in generating code while developers maintain control over the implementation details.

As programming evolves, the need for manual coding will decrease, with more emphasis on managing agents that handle coding tasks.

The future of programming will involve 'word artisans' who can effectively communicate their creative vision to AI systems, blending human creativity with AI capabilities.

The future of coding will involve a mix of traditional coding practices and AI-assisted development, with a focus on collaboration between human programmers and AI agents.

In the next 5 to 10 years, we believe it's possible to invent a higher-level, more productive way to build software that focuses on defining how the software should work and look.

The evolution of programming may lead to a new class of engineers who operate at a higher level without needing to know all the low-level details, focusing more on user experience and interaction design.

Being an engineer will increasingly feel like being a logic designer, emphasizing the specification of intent over traditional coding skills.

Formal programming languages like Python and Java will remain essential, even as natural language interactions become more common in coding.