I Stopped Hitting Claude Code Usage Limits (Here's How)
Brad Bonanno | AI Automation · 2,207 words · 11 min read · EN

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I was constantly hitting my Claude code limits, and now I can use it all day and haven't hit a usage limit in weeks. Here's what I changed. I dug into my setup and figured out that I was wasting a huge amount of tokens on invisible context blow I didn't even know was there. Since then, I've been testing the
best ways to keep my usage down, and right now I'm going to walk you through what I changed in my setup so I never hit my usage limits. Plus, give you a Claude skill that audits your whole Claude code setup, tells you exactly what's costing you and how you can fix it. You can install it and run it
whenever you're looking to keep things clean in your repo, and giving it away for free at the link in the description. So, let's get into it. Just a quick primer in case you haven't seen this explained already, but every time that you message Claude code, it rereads the entire conversation, every single message. In fact, message 30 actually
costs 31 times more than your first message when you're in a Claude code session. On top of that, all of your Claude.md files, your MCP servers, skills are all preloaded into your context window on every single session. More context means better results usually, but it also means more cost and more usage. It can even sometimes result
in a worse output because as context bloats, the LLM only pays attention to the end of your context, and you miss out to miss the beginning of your context window. So, bloated context means you're paying more and getting less output. So, the key strategy that I put in place was reducing that starting
context by removing a bunch of invisible sources of context that were bloating my Claude code environment. So, here's how you would actually see this. If you go and run {slash} context in front inside of a fresh Claude code session, you'll see exactly how many tokens you're already paying for without sending a single message. That'll be your system
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