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The annoying part of long Claude sessions is not the model, it’s the plumbing

What jumped out at me is that Anthropic is mostly admitting something developers already feel in their bones: a lot of “slow AI” is really “slow request packaging.” If you’ve built anything agentic, the pain isn’t always the model thinking. It’s the overhead of dragging a gigantic conversation history through the API again and again.

That makes message threads feel less like a flashy new capability and more like Anthropic finally sanding down an obvious rough edge. I’d actually want to try this on a real coding agent, because the claimed improvement is in the part that annoys you most during long sessions: the pause before Claude even starts responding. Cutting that by about a third on very long contexts is not a small tweak. It won’t change what the model can do, but it could make the loop feel much less glacial.

What I find slightly slippery is the emphasis on speed without cost savings. The article is clear that Claude still reads the whole conversation every turn, so this is not some magical token bill reduction. It’s a transport and orchestration improvement, not an inference breakthrough. That distinction matters, because people will read “send only new messages” and instinctively assume cheaper usage. Apparently not. Anthropic is leaning on cache price cuts for that story instead.

The five-minute thread lifetime is also interesting, and a little restrictive. It makes sense if Anthropic wants to keep memory-based state ephemeral, but it means developers still need to own the source of truth. So this is not “Anthropic stores your agent session for you.” It’s more like a short-lived accelerator layered on top of your existing conversation store. Fine, but not as magical as the marketing gloss might imply.

Still, I think this is the kind of boring infrastructure feature that ends up mattering more than the headline model releases. If Claude Code is already using it for most users, Anthropic probably has enough internal evidence to make the latency win believable. And if you’re running long agent loops over huge context windows, shaving friction off every turn can change how the whole product feels.


Reference: Anthropic's message threads let Claude agents skip resending chats

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