Claude Code
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Darwin meets the internet: everything that broke on deploy day
Deploying an AI agent platform to AWS in one evening: 191 domain names checked, a sandbox with a $20 cap, a test that would have deleted the firewall.
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18 days, 136 commits, 5,096 tests: what Claude Code subagents taught me
A retrospective on building Darwin with Claude Code subagents: 18 days, 117 work packages, 5,096 tests. What worked, what didn't, and what I'd change.
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"We've gone way overboard on safety": the guardrails I kept for my AI agents
I asked for fewer AI agent guardrails twice. Most became switches, nine stayed fixed. What we kept, why, and how 472 security tests check the core still holds.
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My AI coding agent killed every Python process on my laptop (and other war stories)
War stories from building Darwin with AI coding agents: a taskkill on every Python process, a ten-hour test stall, a five-cent overspend, and the rules after.
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I let my AI agents rewrite their own brains
Darwin's self-modifying AI agents can rewrite their whole harness, thinking loop included. Here's how, and why every safety check lives outside the container.
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27 work packages overnight: my dev team of Claude Code subagents
How I used Claude Code subagents as a dev team: model tiers, self-contained work packages, gap reviews and state in the repo. 27 work packages in one night.
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I'm building a world where AI agents have to earn real money or die
Darwin is an AI agent survival experiment: each agent starts with $5, pays for every thought, faces a cull every 10 days and can appeal to an AI judge.