Only complain would be that its sometimes difficult to see the parent comment(s) when you scroll down.

HN could fix this quite easily by making the current parents sticky while you scroll.

Reader view makes the text too narrow: https://imgur.com/a/yQqzxco

Sure i could take extra steps to make it more readable, but at that point I rather not read it as im not that interested nor invested.

Totally fine, no complains from my side. But If the author wants to increase the reach of their posts they just might use agentic coding to have the llm optimize the website for readability.

This blog is quite unreadable for 27/32" monitors.

With node and deno there are reasonable alternatives for everyone who don't want to use bun anymore.

Have the best of both worlds.

Last week I encountered a bug where my merge request simply didn't show that I deleted a file. Apparently it's because my MR included the creation of a folder with the same name as the basename of the deleted file. Unacceptable for a code hosting platform.

Other than that I miss GH Actions, a clear ui (gitlab has way too many sub-menus), a responsive ui (gitlab feels very sluggish). And while we don't have the Gitlab duo activated, it still pops out regularly eventhough I can't use it besides closing it. ...and I don't even want to start with their issue buard.

It strongly reminds me of Jira in terms of quality, which is no compliment.

Though its quite sad that the community had more creativity (and engineering talent) to develop classic(+) wow.

Everything Blizzard now touches is bland, lacks soul, or is straight up bad.

Normal users don't profit from anything you listed. They do have to buy a notebook with all components, and thus currently have to pay more for linux/windows hardware compared to Apple.

Also, RAM isn't backwards compatiple. Literally had this problem with my old ddr4 not fitting in the newer ddr5 slots when my ddr5 acted up.

It might still be worth it for those who hugely value open source and repairability but as for value I think its save to say that Apple is currently in a league of their own. Even if the altest os update is a flop.

Also, the Macbook has improved repairability. While its still not great its better than a few years ago.

A skill can also act as an abstraction layer over many tools (implemented as an mcp server) to save context tokens.

Skills offer a short description of their use and thus occupy only a few hundled tokens in the context compared to thousends of tokens if all tools would be in the context.

When the LLM decides that the skill is usefull we can dynamically load the skills tools into the context (using a `load_skill` meta-tool).

1. unreliable in GH copilot. Lots of 500 and 4XX errors. Unusable in the first 2 months

2. not available in vertex ai (europe). We have requirements regarding data residency. Funny enough anthropic is on point with releasing their models to vertex ai. We already use opus and sonnet 4.6.

I hope google gets their stuff together and understands that not everyone wants/can use their global endpoint. We'd like to try their models.

A 10$ GitHub Copilot or 20$ ChatGPT/Claude subscription get you a long way.

And if the employer isn't willing to spend this little money to improve their workers productivity they're pretty dumb.

There are valid concerns like privacy and oss licences. But lack of value or gain in productivity isn't one of them.

Doesn't matter anyways wether their customers are people who search for shortcuts or people who search for "the best designs".

Their problem was and is that tailwind is used by many of the most profitable companies in the world for free.

Thats so unbelievable stupid. You have corporations paying millions for MS 365 subscriptions, confluence, and other software and basically nothing for a totally optional ui library. If the use of tailwind saves 10 engineering hours per month then it's worth it to pay a few hundred $ for a licence.

Given that their team isn't big they don't even need that many customers. Add a bit consulting for a decent hourly rate and they should be golden.

The more I think about it the more I blame the CEO for poor decisions.

There needs to be a greater distinction between models used for human chat, programming agents, and software-integration - where at least we benefitted from gemini flash models.

They, and other companies, should rather depend on corporate users. Don't let multi-billion revenue companies use your tech for free.

Seems like many companies leaned it a bit late, we always have the same news every fewe years (docker, mongodb, terraform, elastic).

What actually makes it an AI platform? Some tight integration of an intel ARC GPU, similar to the Apple M series processors?

They claim 2-5x performance for soem AI workloads. But aren't they still limited by memory? The same limitation as always in consumer hardware?

I don't think it matters much if you're limited by a nvidia gpu with ~max 16gb or some new intel processor with similar memory.

Nice to have more options though. Kinda wish the intel arc gpu would be developed into an alternative for self hosted LLMs. 70b models can be quite good but still difficult / slow to use self-hosted.

That's not even limited to linux or gaming. A few weeks ago i tried to apply the latest Windows update to my 2018 lenovo thinkpad. It complained about insufficient space (had 20GB free). I then used a usb as swap (required by windows) and tried to install the update. Gave up after 1 hour without progress...

Hardware+OS really seems unfixable in some cases. I'm 100% getting a macbook next time. At least with Apple I can schedule a support appointment.

It's just an anti-competitive move that could be very bad for the consumer as it makes the inference market less competitive.

The few people I know back then used keras instead. I switched to PyTorch for my next project which was more "batteries included".