Buy them the tools
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Jensen Huang wants engineers spending $250k/yr in tokens. Others say that’s reckless. But the debate over company-sponsored tool budgets isn’t new — and neither is the answer.
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Jensen Huang wants engineers spending $250k/yr in tokens. Others say that’s reckless. But the debate over company-sponsored tool budgets isn’t new — and neither is the answer.
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AI coding agents are prolific. They’re also unsupervised interns who will happily polish a bonus feature while the core product sits unfinished. A real-world retrospective on building tss-ceremony with agentic AI — and the harness improvements that came out of it.
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I built an open source Go tool that animates a 2-of-2 threshold ECDSA signing ceremony in your terminal. Real keys, real nonces, real signatures — all computed live. Here’s why I built it and how it works.
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Private keys are the backbone of digital security — and a single point of failure. Threshold signatures split that risk across multiple parties, and the DKLS23 protocol does it in just three rounds. Here’s how it works and why it matters.
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There’s a pattern in tech where people mock the setup cost of automation without accounting for the return. I spent a day building a Grunt-based WordPress bootstrapper in 2013. Fortune 500 companies are still running code built on that foundation today.
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I wrote earlier about why defense AI companies drift toward offensive applications. Today for a hackathon I built the engineering solution I wish had existed when I was inside that world. Firebreak is a policy-as-code enforcement proxy that makes pre-negotiated AI boundaries hold — automatically, at machine speed, with full audit trails.
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There’s a common perception that em-dashes may indicate AI-generated writing. But for those of us who use tools like WordPress for publishing … we might be using em-dashes regularly without even knowing. Our tools polish our typography, letting us focus on the content. While em-dashes can signal professionalism, they shouldn’t be solely equated with AI…
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The Secretary of Defense has pressured Anthropic to permit military use of its AI for “all lawful purposes,” threatening to invoke the Defense Production Act. Anthropic refuses to enable mass surveillance or autonomous weapons, highlighting the industry’s shift from defensive to offensive applications. The situation reflects broader challenges in maintaining ethical AI boundaries amidst government…
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Docker Compose and Kubernetes solve the same problems with different vocabulary. Once you see the translation, production deployment stops feeling impossible.