All that observability tooling around is only benefiting ai wave . They can vibe re-write everything .

https://platform.claude.com/docs/en/agents-and-tools/tool-us... Also Claude Cowork, etc.

1. You don't need compilation... run and test faster. Compilers were primarily built to prevent human error, and only very secondarily to guard your business logic.

2. Your validators quite often need to evolve. With Python or JS, this is a pydantic edit + run. Imagine 3–4 iterations of the same in Rust?

3. Composition. The entire cycle of software changes. An agentic system takes orders from a human, reads some kind of cache and snippets, writes/combines snippets, tests it, runs it, and fixes it. This almost pushes you toward snippets the size of a function, which still need to be covered with tests. I can easily build 10 function-sized Python files and write an agent that will mix and match 3 of them into a final result. With a compiled language, you'd need to compile 10 times — or store the binaries and think about what platform they'll execute on, etc.

I love the fact that the author is questioning this. No doubt the market for your favorite language will change. 80% of languages will go away — there is no market anymore for such a big variety of languages.

Oh yeah , it feels independent and not lazy , sure

Tesla despite fsd gimmick and clearly failing timelines and promises... They really created an infotainment system with a very clear and functional design in mindm that is very understandable and extensible:

1. long(er) vs gas car charges need a "TV/gaming experiences"

2. real self driving car needs the same as #1 ^

3. every ui needs to be fully remotely accessible/adjusted due to no human driver. Temperature, seats preferences, even how A/C blows your face. Ideally by voice. This is why grok lands very well, even on very old cars with powerful enough chip.

German cars just blindly follow tesla "large screen" with no idea how to even watch a movie or plan any real game there. In same manner they are not built to survive autonomy.

Once you've found the path, patches are trivial and the savings are tiny unless you're doing refactoring/cleanup.

testing gets more and more complicated. Take a look at opencode go, and you see this:

>Includes GLM-5.1, GLM-5, Kimi K2.5, Kimi K2.6, MiMo-V2-Pro, MiMo-V2-Omni, MiMo->V2.5-Pro, MiMo-V2.5, Qwen3.5 Plus, Qwen3.6 Plus, MiniMax M2.5, MiniMax M2.7, >DeepSeek V4 Pro, and DeepSeek V4 Flash

and now on your own with bugs, all of these models can produce at scale. Am i missing anything in this picture. What is the real use of cheaper models?

First , I interview people, Junior skills in manual coding dropped sharply this year. These are people who started they school manual and switched mid-course. In two years there will be no such people.

well, that will never happened anymore in this world unless we will go back to caves, especially for juniors. Junior that writes good code is already a dying unicorn.

The outcome will be ... you will hire a junior ... who will burn more tokens, and chances of mistakes with less expensive model, less tokens are even higher.

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To make it look even more absurd . SQLite is not concurrent and you’ll have tons of problems using it practically .

Cars for sure are less convenient.

bla blah blah, marketing... we are fun people, bla blah, goblin, we will not destroy the world you live in.. RL rewards bug is a culprit. blah blah.

In general if you have an affordable enough option you'd never walk into subway, with your several luggages, to travel longer. Train is a decent plan b.

Yes, it is better compared to helicopter. cheaper, less noise. e.g. you can place it more applications, for less money.