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context-engineering

Browse 8 articles tagged with “context-engineering”.

Articles tagged “context-engineering

8 articles

A writer at a warm handheld screen in a softly lit evening apartment sweeps older conversation lines into a small drawer, faded transcript pages curl in a wastebasket nearby, and a slim meter sinks from red toward green, in a Her-style terra-cotta watercolor palette
Knowledge & Memory·16 min read

Build Context Editing Into Your Agent and Cut Token Use 84%

Stale tool results pile up in long conversations, raising cost and hurting accuracy. Context editing and the memory tool fix both. Here's how to build them.

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An archivist with lantern and ledger in a misty dawn library of glowing memory cards, some pinned bright with brass clips, others dissolving into motes; she presses a protective seal onto a card marked with a wheelchair glyph (Arrival film style, dusty-blue watercolor palette)
Knowledge & Memory·16 min read

How to Build a Forgetting Policy for Agent Memory

An agent that remembers everything eventually surfaces the wrong fact. Here's how decay, eviction, and supersession keep memory useful instead of just large.

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A small tinkering robot at a sunlit cluttered workbench fitting a bright new engine into a hand-built wooden frame of pulleys, guards and safety latches that dwarfs the engine (WALL-E film style, sage-olive watercolor palette)
Agent Architecture·11 min read

Your Agent Is Only as Good as Its Harness

Upgrading the model rarely fixes a failing agent. The harness, the code that manages tools, memory, and context, is where agent quality actually lives.

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A slender android at a bare desk in a glass-walled studio at dusk writing one flowing branching script on a translucent pane, while behind the glass a wall of dozens of small labeled levers sits untouched (Ex Machina style, teal-copper palette)
Tools & MCP·12 min read

How to Build an Agent That Writes Code Instead of Calling Tools

One JSON tool call per turn is slow, token-heavy, and brittle. A short script that orchestrates tools in a sandbox is faster and cheaper. Here's how it works.

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A developer reviewing a context pipeline diagram for a customer experience AI agent
Learning AI·15 min read

Context engineering for reliable CX agents

Context engineering is the discipline of deciding what information your AI agent sees, when it sees it, and how it's formatted. Here's how to apply it to production CX systems.

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Developer examining a conversation trace where agent response quality declines across turns
Learning AI·16 min read

Context engineering: why your agent gets dumber mid-conversation

82% of AI teams say prompt engineering alone no longer works for production. Context engineering decides what your agent sees, when, and what gets removed as conversations grow.

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Visualization of an AI agent context window filling up with system prompts, tool definitions, and conversation history
Learning AI·20 min read read

Your AI Agent's Context Window Is Already Half Full

System prompts, tool schemas, MCP descriptions, memory injection, conversation history. They all eat tokens before the user says a word. Learn where your context budget goes and how to manage it.

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Illustration of an engineer assembling context layers for an AI agent, with memory, tools, and knowledge sources flowing into a central pipeline
Learning AI·21 min read

Context Engineering Is What Your Agent Actually Needs

Prompt engineering hits a wall with production AI agents. Context engineering fixes it. Build a full context pipeline with memory, RAG, history compression, and tool resolution.

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