Onboarded on Claude Team with Unlimited credit usage. In the first day, subscription limits were hit and then it silently went on spending 530 EUR in credits before I noticed.
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In a single day? Thatโs insane. Itโs 5 months on the 100$ Codex which is practically unlimited.
In a few hours, yes. Token-based pricing is insane.
I knew token-based was more expensive but didnโt imagine that much. Which is why u canโt compete making alternative coding agents, their own subscriptions are much cheaper, but why they do it on their own Teams package is weird. Maybe targetting companies they feel they can pay.
bill gates built microsoft by making computation cheaper faster and harder for government to restrain. now that he's a billionaire no longer dependent on the free market for his own success he's discovered the virtues of taxing the next wave of computation. 1995 gates would have called it a tax on innovation. classic pull-the-ladder-up-behind-you politics.
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NIH syndrome? I am guilty of it too. I love implementing things from scratch, you learn a lot by doing so and you get to own the codebase end-to-end, so no surprises and fighting around othersโ choices. It can get exhausting too though, in the end I succumb to using off-the-shelf components because my primary goals move at a higher level.
I don't see much point in trying to build software at a "higher level", like whole products and services. I'm going to go down low and train myself on the fundamentals. Hopefully in time I'll be able to contribute to the foundational bits.
You're right, it does get exhausting. At some point you just want to rebuild everything, which is not possible.
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
Coding probably yeah, but still they are bad at generating novel information, new ideas and such. Theyโre also not very good at seeing the bigger picture, they will narrowly perform the task but theyโre not taking into account future revisions, which ends up in refactor after refactor in order to move forward.