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Feels like they were first in the space but then somehow Ramp ran away from dev with a higher dev pace. Fascinating to see.

It's cool how lightweight it is. Recently added support to Vision Agents for Pocket. https://github.com/GetStream/Vision-Agents/tree/main/plugins...


They could build something like Lovable but with better design/frontend defaults.

10 years ago we started out with Python. We switched to Go probably 8 years back. I think my little startup would have utterly failed without Go. Thx google :)

But yes Enums are so much nicer in Kotlin vs Go. That's true, it doesn't impact productivity much, but he has a point.


I think some pythonistas maybe got their feeling hurt by your comment causing it to grey out.

Over the last 25 years in the SaaS world, I have never seen python evolve into a system that is easy to reason about and debug. It lets you do too many things. In over 30 cases, I have seen teams deliver better software faster in Go after replacing their Python.


Well.. there are many fast growing companies that provide UI + APIs for certain components of your app. Sure you can build things easier in-house, but the opportunity cost of doing so also went up. Supabase, Stream, Clerk, Stainless all growing very well.


Why hate on someone doing their best and building.


I wrote this forever ago in AI terms :) https://getstream.io/blog/cursor-ai-large-projects/

But the summary here is that with the right guidance, AI currently crushes it on large codebases.


It depends. For AI to work for large projects (did a post on this forever ago in AI terms. https://getstream.io/blog/cursor-ai-large-projects/)

But you need: a staff level engineer to guide it, great standardization and testing best practices. And yes in that situation you can go 10-50x faster. Many teams/products are not in that environment though.


I work on a big ball of open source spaghetti and AI has become invaluable in helping me navigate my way through it. Even when it's wrong - it gives me valuable clues.


Tend to agree here. The slowdown here has more to do with the financial ecosystem. IE less capital available for some companies, higher salaries and a changed approach to work.

The AI wave didn't start yet. Will hit in 26/27


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