Bnjoroge

This was pretty obvious to just about anyone tbh. FastAPI is probably next

It was pretty obvious that some sort of acquisition was imminent. Astral is vc-funded and has to somehow generate returns for investors. An IPO is extremely unlikley in this market.

Man I still have scars learning Java in college. Took the entire fun out of coding until I ended up learning C.

yeah a repo with only about 18 or so commits and about 3 days of commit history is definitely not vibecoded

what are some usecases i should try?

Agree. I've been yearning for more insightful posts and there's just not alot of them out there these days

it's a valid question and one that everyone should be asking, unless ofcourse it's for fun which is what I believe this is.

Not to discount your experience, but I dont understand what's interesting about this. You could always build a programming language yourself, given enough time. Programming languages' constructs are well represented in the training dataset. I want someone to build something uniquely novel that's not actually in the dataset and i'll be impressed by CC.

eh works fine for me, much better than I expected.

agree on it potentially being a big market, just not sure it's big enough for multiple unicorn startups trying to justify their valuation. competing on price, especially when code review is the main bottleneck seems misguided imo

bitter lesson applied to platforms

what are the implications for the tens of code review platforms that have recently raised on sky high valuations?

The vision of Bluesky isnt compatible with it existing in a capitalistic society.

It's pretty obvious. Lots of LLM signs. Short sentences that keep repeating the same idea. It's not x, it's this. In fact, the entire blog seems to be LLM-generated.

very cool, and like how minimal it is.

maybe the usecase that makes unikernels alot more mainstream. Always found them intriguing

do you understand every line of code you churn out?

never been a better time to be a swe who doesnt or significantly limits the use of AI agents

Always incredibly to see the confidence with which they say these things too.

yeah I'm sure it wasnt a massive money generator for the folks who invested in their pre-seed round.

Most, if not the entire article reads to me as AI-generated which just makes me uninterested in reading further.

Agree, even through gemini cli, gemini 3 has just been underwhelming. You can clearly tell, the agentic harness/capability wasnt native to the model at all. Just patched on it

Agree with this except that spark is good or worth it. Absolutely not for $200, it's a step or two below opus 4.6 for actual reasoning.

Eh, there's some truth it both. The truth is somewhere in the middle of the spectrum. Distribution absolutely matters, often times even more than the product. And vice versa

You cant. You can only focus on building your own product and making it durable and just much better

iirc like they pivoted from being a github replacement with their own vcs

Did anyone actually think their sole purpose as an org is anything but make money? Even anthropic isnt any different, and I am very skeptical even of orgs such as A12

Im not sure what you consider successful. They've been struggling to get market share vs azure, and the product isnt that good. lots of rough edges, and piss poor support

they did have a late start in terms of productionizing the models. It's definitely improved but there was a time where Gemini and the associated tools werent as good as claude/oai

The human brain seeks novelty and excitement. It’s why new projects are always exciting, new companies to join etc. This obviously extends to most trends. Cloud, crypto, AI. Obviously, there’s some utility(debatably with crypto), but overall it’s moreso that new stuff is just more fun and interesting