In contrast, using prompt-based AI can significantly reduce development time, allowing for quicker deployment of AI solutions, with applications that used to take six months to a year to build now being developed in about a week, opening up a flood of new AI applications.

A software development company expanded its AI feature rollout from 100,000 developers to 25 million in three months, highlighting the fascinating speed of scaling in AI.

The AI community is developing better tools that allow end users to easily customize AI systems without needing extensive technical knowledge.

Using AI assistance in coding significantly increases development speed compared to those who don't use it.

Many startup founders are already using AI coding tools, with a significant increase in adoption from 0% to about 25-50% in just a few months, indicating a shift in how software is developed.

The biggest opportunity for developers in the AI era is that individuals who never thought they could write code will start creating lots of code.

Computer use represents a significant advancement for AI, allowing models to adapt to tools rather than requiring developers to create custom environments for each task.

Developers are early adopters of new technologies, often creating tools to solve their own problems, which drives the adoption of AI in coding.

Exciting low-code and no-code tools are emerging, enabling users to customize AI systems based on their specific needs.