The rise of AI tools is addressing the software development deficit, allowing for more efficient code generation and management.

Improving the code review process and ensuring confidence in AI-generated changes will be crucial for the future of software engineering.

In the generative AI era, the way we interact with code generation tools is evolving, resembling more of a code review process than traditional coding methods.

In the generative AI era, engineers can write code faster than ever, but this is just the beginning; thorough code review and understanding user needs are essential for product quality and completeness.

When using AI for coding, there is often a gap between the code generated by AI and the user's ability to modify it effectively, highlighting the need for better tools.

The next challenge in software development will be ensuring the verification of code generated by AI, as simply improving code writing won't significantly speed up engineering processes.

The rise of AI coding tools has led to a shift in hiring practices, with founders focusing on software engineers who can create processes using AI rather than hiring more personnel immediately.

90% of the code for some products is now written by AI, leading to unexpected bottlenecks in other areas like the merge queue, which had to be completely rearchitected due to the increase in pull requests.

Our primary focus is to assist professional programmers, as they increasingly use AI to write a significant portion of their code, but they still need to review everything generated by AI.