cd /news/large-language-models/the-new-rules-of-context-engineering… · home › topics › large-language-models › article
[ARTICLE · art-83136] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=· neutral

The New Rules of Context Engineering for Claude 5

Anthropic's Claude 5, with its 1M-token context window, requires a new discipline of context engineering, as capacity does not equal attention, according to a Medium article by an unnamed author. The piece outlines a decision framework for using RAG, memory, compaction, context editing, and subagents to manage what the model forgets, emphasizing that compaction is a handoff, not a trash can, and that context should be a measured product surface.

read1 min views1 publishedAug 1, 2026
The New Rules of Context Engineering for Claude 5
Image: Pub (auto-discovered)

Member-only story

A 1M-token window isn’t a 1M-token attention span. Here is the decision framework for RAG, memory, compaction, context editing, and subagents.

A 1M-token context window does not give your agent a 1M-token attention span. It gives your system a massive, expensive attic to hide stale tool output, obsolete decisions, and silent performance degradation until production reliability collapses. The real Claude 5 advantage is not more context — it is an operating system for deciding what the agent should forget.

If you are using free version of Medium, [Please consider]use link to access this article for free.[, share this article with your friends to support my work. Thank you.]following and subscribing

In this Article you’ll learn

· [The 1M-Token Trap: Capacity Is Not Attention](#7228)

· [The Context Routing Map: Five Jobs, Five Primitives](#294c)

· [Start With the Bottleneck, Not the Feature](#9db2)

· [Compaction Is a Handoff, Not a Trash Can](#da38)

· [Forget Selectively: Editing and Memory Need Governance](#02bd)

· [Subagents Earn Their Keep Only When Work Is Truly Separate](#43c1)

· [Make Context a Measured Product Surface](#3427)

· [Conclusion](#319d)
source & further reading
pub.towardsai.net — original article Building Production-Ready AI Agent Middleware with LangGraph: Enterprise Patterns, Guardrails… Kimi K3 beats Opus 4.8 but costs the same as Sonnet 5: The End of the "Open Equals Cheap" Era Speculative Decoding Collapses at Batch 224 on Llama-3-70B and Never on gpt-oss-120B
── more in #large-language-models 4 stories · sorted by recency
── more on @anthropic 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
→ Live at https://your-agent.zahid.host ✓
Get free account → Pricing
from €0/mo · no card required
LIVE [news/the-new-rules-of-con…] indexed:0 read:1min 2026-08-01 · —