The transformation in software engineering due to AI code generation has intensified the need for better tools for code review, which has always been a bottleneck in large companies.

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.

Building trust with enterprise customers is crucial for an AI code review company, which involves progressively adding value, consistently delivering on promises, and ensuring best practices for security.

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.

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.

The integration of AI in coding processes is expected to create a more efficient and innovative engineering landscape.

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.

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

As AI takes on more coding tasks, maintaining a balance between automation and preserving core engineering skills is essential for the development of effective programmers.