---
title: "Comment by Mateo Ruiz on \"AI Agents Do Not Just Need More Context. They Need a Context Budget\" | Hashnode"
description: "The distinction between long context and usable context is the key takeaway here. A lot of teams assume bigger context windows automatically solve memory proble"
url: "https://hashnode.com/posts/ai-agents-context-budget/6a71f319030746384a2fcb62/comment/6a7325359a8f308a41c76cfb"
---

[Discussion](https://hashnode.com/posts/ai-agents-context-budget/6a71f319030746384a2fcb62)

Comment [AI Agents Do Not Just Need More Context. They Need a Context Budget](https://hashnode.com/posts/ai-agents-context-budget/6a71f319030746384a2fcb62)

[Mateo Ruiz](https://hashnode.com/@mateoruiz)

[Aug 5](https://hashnode.com/posts/ai-agents-context-budget/6a71f319030746384a2fcb62/comment/6a7325359a8f308a41c76cfb)

The distinction between long context and usable context is the key takeaway here. A lot of teams assume bigger context windows automatically solve memory problems, but retrieval quality and information prioritization become the real bottlenecks. I also like the emphasis that compression shouldn't be static what you keep or discard should depend on the remaining budget and the task itself. It feels similar to cache eviction strategies in distributed systems: the challenge isn't storing more, it's deciding what deserves to stay. Nice breakdown of the ContextBudget paper into practical engineering terms.

[Muhammad Azlaan Zubair](https://hashnode.com/@mdazlaanzubair)

[Aug 5](https://hashnode.com/posts/ai-agents-context-budget/6a71f319030746384a2fcb62/comment/6a7325359a8f308a41c76cfb#reply-6a73a8b2ed41826978a89383)

Exactly, [Mateo Ruiz](https://hashnode.com/@mateoruiz "Mateo Ruiz"). The caching parallel is spot on; it's less about raw storage capacity and much more about efficient eviction and prioritization policies as the horizon stretches. Thanks for reading!