Kevin Michael from Tempo Labs

Code Editing

AI is revolutionizing code editing by enabling consistent and reliable modifications across different coding styles. Kevin Michael shares how Tempo Labs leverages AI to transform code editing, making it possible to edit code written in various ways with unprecedented accuracy. He recalls a pivotal moment with ChatGPT, where it successfully modified react components, demonstrating the potential of AI in this space 1. This advancement opens up new possibilities for collaboration among engineers, designers, and product managers, akin to how Figma facilitates design collaboration 2.

The idea that like the pull request, the code that you're committing to GitHub, that it's something that's like a collaborative process across all the different individuals on the team.

--- Kevin Michael

Tempo Labs aims to bridge the gap between traditional text editors and the collaborative needs of modern development teams.

   

Engineering Shift

The integration of AI in software development is shifting engineering priorities towards focusing on intellectual property. Kevin Michael explains that a small percentage of code represents true IP, while the rest is often boilerplate 3. AI's ability to handle repetitive coding tasks allows engineers to concentrate on innovative and differentiated technology. This shift is expected to increase the proportion of proprietary code in projects significantly.

I think it will shift more and more from like 15% proprietary code to like 85%. And I think AI will write kind of the rest of the boilerplate.

--- Kevin Michael

Michael also highlights the importance of testing and validating ideas with customers, emphasizing a thoughtful approach to product development and hiring 4.