This is a tiny setting most people never touch — and it's the difference between cruising all day and slamming into a usage limit by mid-afternoon. Here's why it matters 👇 Claude Code counts against your limit by tokens — basically the words going in and coming out. The trap: when you ask for a small change, Claude often rewrites the *entire* file and prints all of it back, plus a paragraph explaining what it did. Change two lines in a 400-line file and it can reprint all 400. Every reprinted line is output you pay for — for code you already had on your screen. The fix is one rule pasted into your CLAUDE.md: tell it to show only the changed lines — no full-file rewrites, no explanations unless you ask. It still reasons just as hard on tough problems. It just stops re-typing code you already have, and your token use drops off a cliff. I put together a short step-by-step guide with the exact line to paste, a no-file version for one-off chats, and an *honest* model setup (default to Sonnet, jump to Opus only when it's worth it, put Haiku on the grunt work) — about 10 minutes, no new software. 👉 Grab it here: https://flicker-celestite-7b6.notion.site/Stop-Hitting-Claude-Code-Usage-Limits-The-One-Line-CLAUDE-md-Fix-38ad180d8c80812786cdce0da53dd10f?source=copy_link What's eating your Claude limits fastest right now — long sessions or whole-file rewrites?

OpenAI dropped six plugins for Codex with 110 skills inside, and none of them are about code — OpenAI said it themselves: no coding required. If you only know Codex as a coding tool, this is the quiet shift from a developer tool into a tool for the whole company. - Two words to know. A plugin is a pack you install (a starter kit for one job). A skill is a folder with three things — a name, a description, and a set of instructions — that Codex runs when you @ it. That's the whole model. - Six role-specific plugins. Data Analytics, Creative Production, Sales, Product Design, Public Equity Investing, and Investment Banking. 62 apps and 110 ready-made workflows out of the box. You won't use them all — you live in the one or two that match your job. - I ran Data Analytics live. Fed it a sales CSV and one sentence. It wrote a script, checked all 425 rows, then told me March revenue fell ~41% (paid-ads orders dropped 58→17, not refunds) and built a shareable dashboard with an export button. Every number right. - I ran Creative Production live too. A product photo plus one line got a mood board, 5 ad variations, and lifestyle shots — real generated images, not stock. Honest: ~10 minutes, messy in the middle, I'd bin a couple. It's your first round of ideas, not a finished ad. - The real unlock is the connectors. A plugin on its own is just instructions. Plugged into your data, Figma, CRM, and inbox, it does real work. And you can hit Create to build your own skill or plugin in plain English. My take: you don't need all six. Turn on the one that matches what you do all day — that one might save you more time than anything else you try this month. 📎 Full Codex Plugins guide PDF pinned below — what a plugin and a skill actually are, all six broken down with their skills and apps, and both live demos. This is exactly the kind of drop we break down inside The AI Accelerator (free, 19k+ members). Come share which plugin matches your work. 👉 Which of the six would you turn on first? Drop it in the comments.

Anthropic shipped its most capable model today. The part nobody's saying out loud: the version you and I get isn't technically the full model. It's the same brain with a leash on it. Mostly that doesn't matter — here's the real breakdown. - Fable 5 and Mythos 5 are the same model. Same weights, same capability. The only difference is safeguards. Mythos 5 (raw, cyber guardrails lifted) stays locked to government cyber partners via Project Glass Wing. Fable 5 is the public, safe version — and for 95%+ of sessions you're driving the full thing. The leash only pulls on cyber, bio/chem, or trying to copy the model. - It's a coding + agent release first. SWE Pro: Fable 80.3% vs Opus 4.8 at 69.2% and GPT 5.5 at 58.6%. Stripe migrated a 50M-line Ruby codebase in a day (manual estimate: 2+ months). It beat Pokémon Fire Red from raw screenshots alone. The longer and gnarlier the task, the bigger the lead. - Price: $10 in / $50 out per million. Roughly double Opus, priciest flagship on paper. But the old Mythos preview was $25/$125 — so you're getting a stronger model for less than half. Don't run cheap high-volume jobs on it; reach for it when the task is hard enough that one good run beats five cheap failures. - One behavior to know. Hit a guarded topic and the answer quietly falls back to Opus 4.8 (they disclose it). Filters are tuned cautious, so they sometimes flag harmless stuff. If a normal reply feels a notch less sharp, that's why — not a bug. - There's a clock. Free on Pro, Max, Team, and Enterprise through June 22. Metered on usage credits from June 23. ~2 weeks to test it free. My take: spend the next two weeks finding the 2-3 jobs where Fable clearly beats Opus, then only pay for those after the 23rd. Don't dump your whole workload on it out of hype. 📎 Full Fable 5 guide PDF pinned below — the benchmarks, the full pricing table, the API swap, and the rollout dates. This is exactly the kind of release we break down inside The AI Accelerator (free, 19k+ members). Come compare notes on what's actually worth running on it.

Anthropic just shipped Opus 4.8. While everyone chases speed, the headline feature is weird: it's 4x less likely to write you broken code and not tell you about it. And honestly, that's the one that matters. The big stuff: - Honesty + — stops and flags what it's unsure of instead of bluffing - Coding record — SWE-Bench Pro 64.3% → 69.2%, ~10 points clear of GPT-5.5 - Beat OpenAI on OpenAI's own GDPval — 1890 vs GPT-5.5's 1769 - Fixed the 4.7 token mess — ~61% cheaper doc reads, less chatty - Same price — $5/$25 per M tokens, third Opus with no price bump Also new: dynamic workflows in Claude Code (parallel sub-agents that self-check — the Bun creator rewrote 750k lines into a new language in 11 days), effort control in the app, fast mode 2.5x faster + 3x cheaper, 1M context default, and Mythos (a model above Opus) coming in the next few weeks. My take: 4.7 was rough. 4.8 isn't about the benchmarks — it's that Anthropic fixed the boring stuff (context, compaction, token bleed). If 4.7 burned you, this one earns it back. 📎 Full Opus 4.8 cheat sheet PDF pinned below — every benchmark, every new feature, my switch verdict, all on one page. 🗓️ Free live webinar June 3rd, 7pm ET — the 4 AI agency offers working right now. Show up live for the AI Offer Selection Scorecard. Not recorded. Register: https://theaiaccelerators.com/registration Comment: switching back to Claude, or fully GPT-pilled? 👇 [Watch the video here ▶️]

This is Claude Code — but the model under the hood isn't Claude. It's DeepSeek V4, the open-source model that's trading blows with Claude on coding benchmarks. Two-line swap, five-minute setup, and the bill drops by up to 100x. I just had it build me a full interactive dashboard from one prompt — polished design, live calculations, three minutes start to finish. The kind of output I'd expect from Opus. That same build on Opus would've cost $20–30. I ran it for two cents. The price of a stick of gum. I've been routing my Claude Code work through this DeepSeek endpoint for three weeks across all three of my companies, shipping the same code I shipped last quarter on Anthropic's API. In this video I break down: - The exact one prompt that does the entire install (Claude Code sets itself up) - Why this works NOW — DeepSeek V4 (April, MIT license) finally caught up on SWE-bench - The pricing math: Opus at $5/$25 per million vs DeepSeek at $0.14/$0.28 - The 70/30 workflow that cut my bill in half without losing quality - The 4 specific places this setup breaks — because nobody's being honest about that ⚠️ This is officially supported. DeepSeek documented the swap themselves — it's not a hack. It also works with OpenCode and OpenClaw. 📎 Pinned below — full step-by-step guide PDF with the install prompt, the env block, the model-picker workflow, the 4 limitations, and the reset commands for when you're done. This video is sponsored by Snapdragon. The whole build ran on the HP Omnibook X 14" powered by Snapdragon — dedicated AI engine in the silicon, so long Claude Code sessions run all day with no throttling, fan noise, or battery drain. #SponsoredBySnapdragon 👉 https://www.hp.com/us-en/shop/mdp/hp-omnibook-x-3074457345618072174--1/hp-omnibook-x-3074457345618072175--1 Drop a comment: what would you build, or leave running around the clock, if your Claude Code bill dropped 90% tomorrow? If a few of you land on the same idea, I'll film the build next.