Hey, @AnthropicAI, my Claude Code is broken. It says "Usage limits reached" but my dashboard shows I've only used 13% of my Pro plan and I even have €9.24 in credits.
This has been happening for a week.
Can you fix this billing routing bug. IT'S ANNOYING AF #brokenClaude
I ran the numbers for LAP Coffee's 32 German stores. Effective rating: ~3.8. Displayed: 4.6.
Almost a full star of missing reviews.
https://t.co/oaS5EdifnV
Če bi že gradili metro (u-bahn/s-bahn, bi NUJNO morali podaljšati do Jesenic / Kamnika / Maribora (vsaj Celja) / Zidanega Mosta / Novega Mesta / Ilirske Bistrice (vsaj Postojne) en podaljšek do Kopra in en še do Gorice.
Potem ostaneta od večjih mest brez samo Idrija in Bovec. :)
rable only exists because ldayton's Parable[https://t.co/mcbf7lhAsV] existed first. Couldn't use it directly (Python dep for a Rust binary), but the test suite was invaluable.
https://t.co/6LFld0Kqhz
I had Claude Code build a bash parser from scratch, hands-free, using Parable's test suite as the spec.
The result: rable — 99.9% accuracy across 1,783 test cases.
tree-sitter-bash manages 93.8%.
The timeline:
13h in: 93.6% passing
17h in: 100% on Parable's suite
But the architecture was a mess. The real work was directing the refactor, not generating code.
Lesson: building an AI content system is easy. Making it funny is the hard part.
https://t.co/xtczojZwCg
https://t.co/fF1GrCdHZK
https://t.co/8jt4AONZym
Completely different tone now. Give them a look.
Friends kept saying the same thing about my AI satire sites: "It's clever but... weirdly dark?"
They were right. I let the AI drift into dystopian corporate thriller territory and didn't notice.
So I rebuilt the whole pipeline. The difference is wild.
Before: Bezos tracking "extraction yield percentages." Zuck running "psychological conditioning protocols."
Now: Bezos at a wellness retreat where joy is toxic to him. Zuck brought perfect hexagonal cookies to a bake sale. His wife: "that's somehow worse."
LEAKED: Mark's reaction to Instagram dropping E2EE
"Satisfy attorney general visibility requirements" = compliance theater
"Higher extraction density" = the actual play
"Optimal alignment opportunity" = both at once
His diary decoded this move WEEKS ago #Meta
New post: Getting Into Make, Just, and Hooks
When Claude Code runs `just test`, tokf can intercept the outer command — but what about the `cargo test` inside?
I solved this by injecting tokf as a custom shell and shimming PATH lookups for git hooks.
https://t.co/E1XetyqksA
Also shipped since the last update:
• make/just support via shell-override wrappers
• env var prefix stripping (NODE_ENV=test npm test now matches)
• tokf auth delete-account — removes everything immediately
• Terms of Service: https://t.co/3tNrOq0n0U
tokf now works with Claude Code, OpenCode, and OpenAI Codex CLI.
Also shipping this week: a community catalog of shared filters.
The question I'm watching: does the community converge on better compression than the stdlib? Early data will tell.
https://t.co/oCjTiNPeMD 🧵
Each filter page shows the full TOML with syntax highlighting.
Lua filters are sandboxed and inlined at publish time — what you see is what runs. No network calls, no side effects beyond the filter output.
Smarter pipe handling: simple pipes (`| grep`, `| tail`) get stripped — tokf's filter replaces them. Gain accounting tracks what the original pipe would have consumed.
Complex chains or unknown targets are left alone.
https://t.co/FiRcsEabu5
https://t.co/OJLGPgFm7h
tokf update — the interesting part of building a CLI filter for LLMs is adapting to how the model actually runs commands.
A few things I learned watching Claude Code in the wild 🧵
History hints: tokf can now suggest to the model that raw output is available via `tokf history show <id>` — so it can dig deeper when the filtered summary isn't enough.