Soon the times of AI for $20/$200 a month will be long gone.
Forcing developers to pay for models that were build on code they scraped scott-free
A tax to do their job that developers are jumping at the chance to pay
Everybody's finally realising that node dependencies are a threat, but letting these AI companies gatekeep the industry is a bandwagon people are scrambling towards
Yes this makes me sad behound explanation. Specially when I see open source developers happily using these tools. These companies stole your, free, hard work and charge you a subscription!! Not to speak about them torrenting books and (most likely) training on private repos.
This and devs paying a subscription to use a tool that is marketed as trying to replace them.
I had 150$ monthly budget thatbI used for various open source projects and I've cut that entirelly.
In case you weren't aware, Anthropic, OpenAI and GitHub Copilot all have programs that provide access to open source maintainers for free:
GitHub: https://docs.github.com/en/copilot/how-tos/copilot-on-github...
Anthropic: https://claude.com/contact-sales/claude-for-oss
OpenAI: https://developers.openai.com/community/codex-for-oss
> Six months of ChatGPT Pro with Codex for day-to-day coding, triage, review, and maintainer workflows
Those are free trials pending their approval in hopes of more paying customers, nothing more.
Then you say you had money that you used to donate(?) to OS and have cut that because of the frustration?
Open source just means sharing the source code for people to learn off or have the ability to customize on their own. I don't think there is any need to be frustrated about that (now if it was copyright/private of course).
Yes people, not corporations. The point is there a licenses to be respected that weren't.
We could fix that, but it requires a political will to change the law.
> To summarize the analysis that now follows, the use of the books at issue to train Claude and its precursors was exceedingly transformative and was a fair use under Section 107 of the Copyright Act. And, the digitization of the books purchased in print form by Anthropic was also a fair use but not for the same reason as applies to the training copies. Instead, it was a fair use because all Anthropic did was replace the print copies it had purchased for its central library with more convenient space-saving and searchable digital copies for its central library — without adding new copies, creating new works, or redistributing existing copies.
That's also caused by some very smart (even brilliant) developers (you can see many of them in this very thread) choosing to be oblivious about all this and bury us all under, hoping that they'll be among the last ones to go. Writing this down I realise that they maybe aren't all that smart.
It would not surprise me one bit to see anywhere from $80k-$100k/seat pricing.
Most of us don't need a model that can prove the Riemann hypothesis or Goldbach's conjecture in order to get work done.
Not everyone needs a Ferrari to go for a weekly shopping.
Maybe? If you talk to executives, the impression that I am getting is that they tend to be somewhat misinformed at best, which, yes, is bound to result in some really bad decisions down the road. But, and it is not a small but, the ones I did talk to ( and, amusingly, those are the ones with strong opinions ) don't seem to have a lot, um, practical exposure to this tech beyond what they heard at the watercooler. Honestly, it is kinda infuriating. And all this before we get to how companies want to say they use AI, but also keep cost down.
You and your work are not that special, you are not participating in car races, and you don't need a Ferrari.
You might want to ask the guy who said it first what he meant; I was just pointing out that your work isn't particularly Anthropic-biased, in my experience.
Words apparently don't mean anything anymore.
I’ve done the same thing with opus multiple times with no issue. According to ccusage I racked up just shy of $100 of tokens using Fable.
It spun up subagents or workflows or whatever so obviously that contributed but “double opus” was not my experience. I’ve done the exact same prompt with opus on the highest setting and only once before (not even while using this prompt) hit my limits.
My prompt? I’m not a prompt wizard or anything but it was literally:
> Please review the uncommitted code in this repo for bugs/issues/code smells.
I use variations on that all the time with opus and never had issues. I figured it was a good one to kick the tires with Fable. Little did I know it would mean no more Claude Code for the next 4.5hrs (unless I wanted to pay) after this being the first time I had used CC that day (yesterday).
All in all, a pretty crappy first experience.
uvx agentsview usage daily
And run the command again. I get $126.89 for yesterday.
DATE INPUT OUTPUT CACHE_CR CACHE_RD COST MODELS
---- ----- ------ -------- -------- ---- ------
2026-06-09 142015 85315 321224 6880110 $10.96 claude-fable-5, gpt-5.5, claude-haiku-4-5-20251001
I think the $10.96 is coming from gpt-5.5 since I switched to it once I exhausted all my usage on CC. CCusage reports completely different numbers so I don't know which one of those is right.
Thanks for trying, for yesterday ccusage says "$92.02" for claude, which I assumed was the Fable usage.
uvx agentsview serve
Unfortunately it's not telling the whole story. The last message from the _only_ Fable session it monitored was:
> The data layer looks clean — <REDACTED>. Now waiting on the 11-angle workflow — verification and the gap sweep run after the finders; I'll compile the full ranked findings list when it completes.
And my memory jives with that, I could see in the footer that it had spun up 11 agents (though agentsview says it used 0 subagents, don't know if it was "actually" workflows that it spun up?). It's like it didn't record the sub-sessions/sub-agents info?
I'm still shocked that my prompt (which I now can see thanks to this tool) of:
> Please review all the uncommitted work in this repo and identify any issues.
was able to burn so much, so quickly, and, most frustratingly, without actually doing anything useful because killing it was my only option lest it spend even more of "extra usage".
Overview of usage: https://cs.joshstrange.com/RjGzWVXy
Stats for that 1 session: https://cs.joshstrange.com/Fj5qv1wl
I've been watching my usage quota bars drop as I use the model, so I don't think I have a weird quota issue going on here.