Tag: #ai
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AI agents across many services: read with SQL, write with approval
A design, running in production, that lets AI agents work with many services at once. They read any data with read-only SQL, and change data only through API calls that a person approves after a draft run on the real service.
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I don't need someone else's news algorithm anymore
news.lyabah.com picks the AI news I want, by rules I wrote in plain English, and explains its picks every day so I can fix the rules.
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23 Claude Code mistakes, checked against the docs
I took a popular video listing 23 Claude Code mistakes and checked every claim against Anthropic's docs. Most of it holds up. Here is the correct way to work, and the parts I don't agree with or couldn't confirm.
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The No That Came for Free
The budget used to refuse features for me. It was a blunt filter, and now it's gone — which changes what my judgment is actually about.
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The chess Elo analogy: AI progress looks slow right until it doesn't
Chess engines improved in a straight line for forty years. The effect on humans was a cliff. AI may be walking the same path.
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We Never Wanted the Truth Anyway
Musk wants a truth-seeking AI. Harari says competition breeds liars. And even science — our best truth machine — really just solves problems.
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Harari's Fixes — And Which Ones Might Work
Harari's three-layer protection plan against AI — legal bans, slowing down, strong institutions — and which parts actually hold up.
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I Asked an AI If Harari Is Right About AI
Harari's gloomy Economist interview, summarized — and then judged by the very kind of entity he's warning about.
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The Age of the Creator Is Falling
Every time knowledge got cheaper, creators got younger. AI is the third round — and what gets built changes with the age of the person building it.
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What to learn in the age of AI
A filter for deciding what's worth learning while AI keeps eating layers of competence: skip what it takes first, invest in what it reaches last.
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The skill that survives AI
I started arguing that PM skills beat coding skills when building with AI. By the end of the argument, both were gone.
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Frameworks were built for humans. So what are they for now?
Frameworks are switching audience: from the human who writes the code to the machine that writes it and the human who verifies it. Six criteria for what matters now, and a tour of JS, Python, Go and CSS through that lens.
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Opus 4.8: the boring upgrade that actually matters
Claude Opus 4.8 is an incremental benchmark bump, but the agent-shaped quality-of-life fixes — tighter tool calling, mid-session system messages, cheaper fast mode, adaptive thinking — are what make it worth adopting.