
Building Chat Memory That Still Works at Turn 900
Replaying the full chat history works at turn 3. At turn 900 it is why your bill is high and your assistant is wrong.
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Prompt engineering, system design, and building AI products that hold up past the demo. Cross-posted from Substack.

Replaying the full chat history works at turn 3. At turn 900 it is why your bill is high and your assistant is wrong.
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Every social feed you scroll runs a scoring function on every post, in real time, before you ever see it.
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Last weekend I spoke at CodeCon Summit. The talk was called “O Guia do Mochileiro da Engenharia de IA” — the hitchhiker’s guide to AI engineering — and the premise was ambitious: walk through 42 concepts anyone entering this field needs to understand today, in one session, for a room of over 300 engineers.
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There’s a type of cognitive overhead that engineers have normalized so completely they stopped noticing it.
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Most teams add streaming to their AI products because it feels faster.
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Every company I’ve worked with has the same problem dressed in different clothes.
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Traditional SaaS has a comforting property: infrastructure costs are largely fixed.
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There’s an idea that circulates in AI engineering circles called “caveman prompting.” The premise: write your instructions in stripped-down, telegraphic English — almost no grammar, no courtesy, just the bare intent — and the model will still deliver.
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