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I don't trust agents writing specs without human approval.

I've been bitten by agent-written ADRs. Agents carelessly add extrapolated details and speculated nice-to-haves that I never asked for, and this becomes a source of bloat that keeps coming back like a boomerang.

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I’ve found that Agents cannot differentiate between a general principle or abstraction to be followed vs a one-off code review comment that’s applicable only to a single PR.

Lack of this capability makes automated principles or patterns update a recipe for more bloat.

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Perhaps this is precisely the type of work product that humans should produce instead of LLMs. Humans are the ones making these decisions, after all.
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Of course I meant you review the docs the agent writes (as well as everything else the agent writes)
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There is a hierarchical distillation of understanding in human processes that agentic processes do not yet execute.
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There are some systems that do that, but I don't know how effective they are. I've been meaning to evaluate AWS AgentCore Memory which has strategies you can apply for reconciling and organizing memories.
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