Gemini 3.7 may have fast token output but holy cow does it waste it on useless output. Several times now I've given it a shot and watched it's reasoning trace go through a bunch of unnecessary / off-target steps relative to what I asked. Don't have this issue with 5.6 models. MAI Code 1.1 is also solid and fast for non-complex tasks.
The tiring part for me is the waiting and/or context switching to fill that time. When agents of this intelligence or better can get you results in seconds instead of minutes we can start thinking single threaded again and it will be more enjoyable.
If you are talking about the Copilot built into vs code, that's not been my recent experience at all. Very capable in agent mode since gpt 5.4 came out.
Agree with this, though I've mostly been using Gemini CLI. Some of the simplest things, like applying a small diff, take many minutes as it loses track of the current file state and takes minutes to figure it out or fail entirely.
I use markdown files in vs code. Supports folding of sections, combined with a few keyword/char patterns that I highlight different colors. Also get code highlighting in properly labeled code sections.
Well, pretty much everyone is less valuable than they think!
I've bootstrapped and sold two startups, first time with 5 (!) equal cofounders and second time with 3. I've learned a lot along the way, obviously some of that through mistakes of my own. Have my cofounders been perfect? Heck no -- one lacks the same level of drive, the other is less trustworthy (always multiple irons in the fire kinda guy). But we all have strengths, are all generally better off together, and have the combined skill set to run super lean. Even if you think you can do some things better alone, you can never do it all, and that grind will take quite a toll.
Related: over the years the topic of going into business with some of my best friends has come up, and I always say I would never do that. Running a fast-moving, high stakes business with multiple founders involves a lot of tough conversations and occasional relationship strain. My business partners are business partners first, friends second, and I think that's important to consider if you really value a friendship.
I just went through this process and ended up getting the HP Omnibook Ultra Flip with a core 7 258v, running Ubuntu 24.10. Performance is excellent, battery life is the best I've ever had on an Intel running Linux. If you truly need more RAM than 32 GB it won't be an option though.
The air or an mb pro seems so nice until I remember the sting of dealing with the dev environment and docker on a Mac compared to Linux. No amount of battery life or marginal jump in performance (which gets lost through needed virtualization) will make up for that for me.
It does seem quite nice. Is the pen input decent?
If the build quality is OK the pricing is quite good, in France with 32Go/1To is 650€ cheaper than an equivalent MacBook Air.
I have not looked for a proper CPU comparison but I don't that it matters that much for a device of this type, and as you said, with Apple Silicon you lose a lot of the performance once you venture away from optimized software (which is still quite restrictive).
Considering the (relative) failure of the ARM push for Windows PCs I doubt ARM is going anywhere in the consumer market (that probably means it will stay niche in the server market as well but we'll see).
