Context Window
12 articles about context window.
Context Windows Are Not Memory
Context windows are working memory, not storage. Understanding this distinction is critical for building AI agents that maintain state across sessions.
Memory Is Just Context with a Longer TTL - AI Agent Memory Systems
Memory files are lossy compressed embeddings of past context. Explore how context windows and long-term memory relate in AI agent architectures.
MCP Server Context Window Bloat and Why You Need a Toggle
Too many MCP servers trash your context window with tool definitions. A toggle approach lets you activate only the servers you need for each task.
Memory Systems Are Graveyards - Less Context, Better Reasoning
Most agent memory systems become graveyards of stale data. Aggressive memory pruning leads to better reasoning because the model focuses on what actually
Real Users Broke My AI Agent - Failures Testing Never Catches
How real users break AI agents in ways that testing never predicts. Context drops on interruption, unexpected inputs, and the gap between demo reliability
The Noise Floor Problem in AI Agent Context Windows
Every irrelevant token in your agent's context window raises the noise floor and degrades decision quality. Learn how to keep context clean and signal-rich.
Why Backend Tasks Still Break AI Agents - Tool Response Design Matters
AI agents fail on backend tasks not because models are weak but because tool responses are poorly designed. Write full data to files and return compact
Why Explaining a Process Is Harder Than Running It - The AI Agent New Hire Problem
Every new AI agent session starts from zero - the eternal new hire that never builds institutional memory. Why process documentation is now a core skill.
MCP Servers That Pipe Raw Data Beat REST API Wrappers
The most useful MCP servers send raw data into context - transcripts, accessibility trees, full documents. The ones that just wrap a REST API add a layer of
The 1M Context Trap: Why More Context Makes Claude Lazier
Research on 18 frontier models confirms every one degrades with more context. The 'lost-in-the-middle' effect causes 30%+ accuracy drops. The counterintuitive fix: use less context, not more.
Why Scoped 50K Context Agents Outperform One Million Token Context
One million token context windows sound impressive, but scoped agents with 50K context each consistently outperform a single giant context for real
Using Opus as Orchestrator, Delegating to Sonnet and Haiku
The real win of using Opus as an orchestrator that delegates to Sonnet and Haiku is not cost savings - it is context window management. Opus burns through
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