By 2025, we expect AIs to improve coding capabilities, but they won't be able to operate autonomously for long periods, still making basic errors.

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.

AI's ability to generate code will likely create a net benefit for humanity, as it will change how coding is done but not eliminate the need for human involvement.

The future of coding is being revolutionized by AI, which is significantly improving productivity and making coding more accessible to non-coders.

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.

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.

While AI may automate some programming tasks, there will always be a need for human programmers to handle creative and complex problem-solving.

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 90 or 95% of all code is generated by AI, the human will still be in the loop; we shouldn't overstate the autonomy of AI.