Comment by caleblloyd

I am the Product/Eng Lead and a Co-founder of a company formed ~1 year ago building AI-native developer tooling for Platform Engineers. Have been able to iterate very quickly through PoC phases and get initial feedback on ideas quicker. For features that make it into production code, we do have to spend some time re-working them with more formal architectures to remove "AI slop" but we are also able to try more things out to figure out what to move forward, so I feel like it is a net gain.

Part of "AI-native" means being able to really focus on how we can improve our Product to lessen upfront burden on users and increase time-to-value. For the first time in a while, I feel like there is more skill needed in building an app than just doing MVC + REST + Validation + Form Building. We focus on the minimum data needed for each form upfront from our users, then stream things like Titles, Icons, Descriptions, etc in a progressive manner to reduce form filling burden on our users.

I've been able to hire and mentor Engineers at a quicker pace than in the past. We have a mix of newer and seasoned Engineers. The newer Engineers seem to be learning far quicker with focused mentoring on how to effectively prompt AI for code discovery, scaffolding, and writing tests. Seasoned Engineers are able to work across the stack to understand and contribute to dependencies outside of their main focus because it's easier to understand the codebase and work across languages/frameworks.

AI in development has proven useful for some things, but thoughtful architecture with skilled personnel driving always seems to get the best results. Our vision from our product is the same, we want it to be a force multiplier for skilled Platform Engineers.