I have Django project with 50 kLOC and it is pretty capable of understanding the architecture, style of coding, naming of variables, functions etc. Sometimes it excels on tasks like "replicate this non-trivial functionality for this other model and update the UI appropriately" and leaves me stunned. Sometimes it solves for me tedious and labourous "replace this markdown editor with something modern, allowing fullscreen edits of content" and does annoying mistake that only visual control shows and is not capable to fix it after 5 prompts. I feel as I am becoming tester more than a developer and I do not like the shift. Especially when I do not like to tell someone he did an obvious mistake and should fix it - it seems I do not care if it is human or AI, I just do not like incompetence I guess.

Yesterday I had to add some parameters to very simple Falcon project and found out it has not been updated for several months and won't build due to some pip issues with pymssql. OK, this is really marginal sub-project so I said - let's migrate it to uv and let's not get hands dirty and let the Claude do it. He did splendidly but in the Dockerfile he missed the "COPY server.py /data/" while I asked him to change the path... Build failed, I updated the path myself and moved on.

And then you listen to very smart guys like Karpathy who rave about Tab, Tab, Tab, while not understanding the language or anything about the code they write. Am I getting this wrong?

I am really far far away from letting agents touch my infrastructure via SSH, access managed databases with full access privileges etc. and dread the day one of my silly customers asks me to give their agent permission to managed services. One might say the liability should then be shifted, but at the end of the day, humans will have to deal with the damage done.

My customer who uses all the codebase I am mentioning here asked me, if there is a way to provide "some AI" with item GTINs and let it generate photos, descriptions, etc. including metadata they handcrafted and extracted for years from various sources. While it looks like nice idea and for them the possibility of decreasing the staff count, I caught the feeling they do not care about the data quality anymore or do not understand the problems the are brining upon them due to errors nobody will catch until it is too late.

TL;DR: I am using Opus 4.5, it helps a lot, I have to keep being (very) cautious. Wake up call 2026? Rather like waking up from hallucination.

Datacenters in my country usually had some rooms with tower servers 20 years ago here, well my first colo was for the tower server I brought in the large backpack:-). But density requirements, cold/hot aisles etc. prevailed and towers are generally considered inefficient for the datacenter purposes.

And then you have Hetzner datacenter that probably all people running DCs I know would ridicule, but they would not be able to respond to fan replacement at the same time. I wonder how many rack server chassis are recycled each year because the manufacturer just won't let you reuse them with new motherboard, power supply due to new shape, design, ports placement etc.

It is not just about a fresh machine which hopefully sits in each datacenter. I can imagine they needed the clone of the system due to the design of the fly.io service and that's where the "fun" begins.

I don't understand how datacenter SSD manufacturer can so blatantly ignore Linux.

My early 2020 16inch required lots of tweaking to prevent complete discharge every night and battery is sub 7500mAh now. It still happens several times a year and I am not sure why. I am probably not paying over 4000 EUR next time. User since the 2006 MB Pro.

“One of the issues is that the officially recommended way to install it seems to be rook-ceph with kubernetes.“

I believe the recommended way is using cephadm.

I have been using ceph-ansible since luminous and had to deal with nasty issues or quirks as well caused probably by complexity and human errors.

Switching apps is often plagued with at least noticable up to utterly annoying lag. Starting even optimized apps sometimes feels surprisingly slow. If the CPU is even under the light load (20 % reported by Activity monitor), these issues happen more frequently and overall responsivness gets much worse. It is not due to the low memory which I try to spare on Mini.

Yeah, Safari is fast, even faster than on the iPad Pro. But I am developer, often use multiple browsers, many docker containers, might spin up IDE and I am certainly not the one who they made it for.