context window as bottleneck

4 articles · 15 co-occurring · 0 contradictions · 0 briefs

Lynch explicitly argues context window is the scarce resource organizing AI systems, not model capability

Related concepts

prompt engineering 2 multi agent orchestration 2 context window management 2 tool use and plugins 1 state persistence across turns 1 state management 1 state machine patterns 1 retrieval augmented generation 1 prompt engineering vs context engineering 1 multi turn dialogue requirements 1 memory persistence across sessions 1 memory persistence 1 mcp ecosystem 1 lost in the middle phenomenon 1 information salience in prompts 1

Evidence chain (4 articles, showing 4)

Context Window: AI's Limited Working Memory | Jack Lynch posted on the topic | LinkedIn example_of

Lynch explicitly argues context window is the scarce resource organizing AI systems, not model capability

Why context engineering matters more than prompt engineering | Around The Web | laconiadailysun.com supports

Uses 'desk as RAM' analogy to explain why context window is the limiting resource in AI agent performance

@jeffreyhuber: 2026 is the year of memory, the year of context supports

Directly validates that context management is THE limiting factor, not model capability

Langgraph tutorial | Build a sales agent | Medium supports

The article demonstrates that without proper context architecture, even simple business logic (discount policies) gets lost. This supports the thesis that context management is the bottleneck, not mod

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