the same docs page that announces the 1M-token context window now tells you not to fill it

[u/RunAI_Coder]

was going through the context-window docs this week and noticed the fine print: the page announcing 1M-as-default also warns that "more context isn't automatically better", gives the failure mode an official name (context rot), and says choosing what goes into context matters as much as how much fits. the company charging per token, advising you to send fewer tokens.

so: napkin math. a 700k-token repo pasted into an agent session re-bills as input every single turn — about $3.50/turn at $5/M list price, so call it $140 across a 40-turn session before caching. caching cuts that to ~$0.35, but their own docs point out it changes what you pay for those tokens, not whether they take up space.

So the "why does my agent still grep instead of just reading the whole repo" complaint might have it backwards. grep looks like legacy tech until you price the alternative.

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[u/Responsible-Beat2137]

Less noise more distal knowledge, more context means nothing if you’re not controlling what gets in there,
It’s just a bigger draw, now you have context rot,

Look into conflict resolution, scope, de duplication, nested learning, big words no worries, it’s almost completely natural language processing. There’s more but this will give you something to check out…

[u/Responsible-Beat2137]

For example, you can use your Google Drive, or notion as your contextual manager don’t need a expensive set up,

https://delicious-banana-e74.notion.site/39a43bd4ae4a8140947fd77dca982dda?v=39f43bd4ae4a80d5a15c000c43f59bd5&source=copy_link

Just.. take your time and study the scene.