It’s really interesting to see opinions on AI from people outside of tech. Not weighing in on if they are right or wrong — they are as valid as any opinion based on lived experiences. One thing is certain though: the future is here, but it’s not evenly distributed.
There's been a ton of talk about the role of humans in code review, and when and how humans should be signing off on changes.
I believe that, long-term, humans have no role in routinely reviewing code.
@willium I would guess the frontier labs won’t pursue a competitor, because their stated goal is AGI. The appeal of something like Jev is cost efficiency, which has more practical applications. I could certainly see an acquisition just for the purposes of improving homegrown harnesses tho
Eventually I understood that Desktop Linux isn’t really a product. It’s a political movement. Movements want everyone to feel included but taste requires exclusion.
@fmzakari Thinking about it, I guess as long as the paths and relevant files are in the repo, since it serves over http it can be used as a makeshift static read cache
I don’t think remote sandboxes using frontier models and fast local open-source model inference are incompatible visions of the future. Run agents at night on sandboxes for complex tasks/research, and use fast inference for hands-on computer use.
The lack of "feature design" is why so many products over time feel hollow or messy. This isn't visual design. This isn't architectural design. I thought that a short video lecture of what feature design is and a real case study of applying it in Ghostty would be helpful.
Feature design is the planning step behind how you're going to solve one or more user problems with a product feature: what that feature looks like, how it feels, and not just how its going to tactically solve these specific problems, but how that solution is going to interface with the edges of other features that currently exist or are planned to exist in the future.
@mattpocockuk@mitchellh had a great video on strategic vs. tactical thinking from the POV of feature design. Developing strategic thinking requires learning, which requires friction. Totally an open question in the industry as to where that friction is meant to come from in the age of AI