LLMs are becoming the primary consumers and manipulators of digital information, which means we need to design software that caters to these agents.

As LLMs evolve, they are increasingly seen as complex operating systems rather than simple utilities, shaping a new software ecosystem.

The future of software development will involve rewriting a significant amount of code, with LLMs acting as utilities and operating systems.

LLMs can build partially autonomous products, enhancing accessibility in software development by allowing programming in English.

The unique aspect of LLMs is that they are not just tools for corporations and governments; they are accessible to everyone, democratizing technology.

LLMs aren't just for coding; they can assist with non-coding tasks as well. For example, I used AI to configure DNS servers and set up hosting, significantly speeding up my progress.

LLMs can be seen as 'people spirits,' simulating human-like behavior and psychology, which allows us to work productively alongside them.

The trend of LLMs and AI is creating numerous new dev tools, but entering this market requires a clear differentiation strategy to stand out among many competitors.

The emergence of partial autonomy apps, like Cursor, illustrates how LLMs can enhance traditional software interfaces by managing context and orchestrating multiple calls. Software is fundamentally changing again, as we enter the era of 'Software 3.0,' where natural language becomes the new programming interface.