One developer, around a dozen real projects, built in the open with AI doing a lot of the typing. This is where I write down what actually happened: the decisions, the mistakes, and the things that turned out to matter. No hype, no guru voice.
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Every gate in my system is a scar
How a single TODO.md per project grew into an order queue across ten projects, and why every safety gate in it exists because something broke first. Claude Code multi-project orchestration, honestly measured.
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The number that lied: rebuilding a usage meter that actually helps
I hit the Claude Code weekly usage limit with four days left in the billing cycle, no warning at all, and had to buy emergency tokens at list price. Here's how I built a usage meter that actually tracks the weekly limit, in four attempts.
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Autonomous agents are the easy part
I gave ten projects one order queue that runs itself every five minutes. Here is how it is built, the rules that keep it safe, and the night it buried me in its own status reports.
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Your CLAUDE.md is a briefing, not a boundary
Three parallel Claude Code sessions, one shared config file, no lock. One deleted an exception another had just added and took a production feature offline. The fix was not a better prompt, it was a hook that returns an error.
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A required field made my AI fabricate statistics
My content pipeline never researched a single number. A mandatory statistic field quietly forced the model to invent them, with real-sounding sources, in content people rely on. The fix was not a better prompt. It was deleting the field.
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I auto-published 2,300 AI articles. Google buried 90% of my traffic.
Sixteen months of fully automated content, one honest look at the Search Console data, and the moment I killed the machine. The mistake that made me start writing by hand instead.
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