buster

I think I see what happens with any new idea. You thought ADRs are important and now the agent produces piles of non-ADRs labeled as ADRs, which are really just some design decision, requirements, etc.

From your screenshot alone I can tell that those are not architecture decision records on the left side.

Ask yourself the question for each: is this truly an architecture decision or merely some design decision or requirement that now got some option a/b/c slapped onto it?

In the end you will just have a repo with hundreds of meaningless ADRs that your agent has to wade through.

And you think this is going to work so well, when Chinese Models and Chinese Hardware dominate the price-to-performance ratio by an order of magnitude? Not sure about that. US may try to hide behind regulations and lose the market. EU couldn't care less if US or China is the evil partner (and hopefully will just stand on its own, even with help of some open source models, for example).

That does not matter so much anymore, when Huawei starts selling those NPUs for a fraction of the NVIDIA price. It's all downhill from there on for OpenAI, Anthropic and NVIDIA.

As a developer myself i hear this so often. Yes, it's (probably) your job on the line as well, BUT everybody nowadays can be a developer. Maybe, don't call it developer. Everybody nowadays can built some software that fulfills some need (or just for fun). It's actually something good, isn't it?

Would you mind, if you could suddenly, over night, be a carpenter, a watch maker or glassblower?

It's one of the greatest stories of all time directed by Nolan. CGI or not, whatever.

+1 for Ente. Replaced Google photos for me

Is it fair when the one is heavily subsidized and the other one is not?

I think it's most fair to compare the plain token pricing that is used by everyone.

No it's probably the most important idea.

> Forget maintaining stability, AI is a downright destabilizer. It worsens understandability, fixability, debuggability, teachability, guaranteability, all the bloody bilities.

This is just an assumption and the whole article falls flat if this turns out to be wrong. In my limited (as everyone else's) experience, working with agentic AI needs good documentation, good specification (spec driven, you know it's all the hype nowadays). Those alone lead to much improvement. Now take into account that probably your senior dev also has more time to think about the big picture, to improve all those little things that were a nuisance in the past but now are a mere "Claude, fix that" in a worktree away.. I would not bet on the assumption of this article.

I am not questioning the benchmark. But the benchmark is NOT measuring a real world application in a real world setting. Anyway, I am merely wondering IF there is a company out there affected, at all. I understand that this was only measured on a graviton 4 setting with very heavy lifting, without huge tables.

For example, this issue aside, I'd rather split such a workload into multiple smaller instances, naturally. Because the impact of a crash on this single node, heavy load, many cores, many clients scenario would be huge.