context engineering Prompts
Prompts tagged with "context engineering"
Write a Project Instruction File for a Coding Agent
Turns the tacit conventions of a codebase into a project instruction file (CLAUDE.md, AGENTS.md, or similar) that is short, verifiable, and actuall...
Design an Agent's Memory Across Sessions
Decides what an agent should remember between sessions, what it must forget, how memories are retrieved without flooding the context, and how stale...
Split Work Between an Orchestrator and Subagents
Decides whether a task genuinely needs multiple agents, then draws the boundaries so each subagent has an isolated context and a verifiable contrac...
Design the Tool Surface for an Agent or MCP Server
Decides which tools should exist and at what granularity, names them so the model picks correctly, and prunes the surface — because tool-selection ...
Design Retrieval That Finds the Right Thing
Designs a retrieval layer around the questions it actually has to answer — chunking, what gets indexed, filtering, reranking — and insists on evalu...
Budget an Agent's Context Window
Treats context as a budget to spend rather than a container to fill, allocating tokens across system prompt, tools, history, and retrieved content,...
Guides on context engineering
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What Is a Context Window?
The context window is working memory measured in tokens, shared by your prompt, history, retrieved documents and tool schemas alike. Rese...
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Memory for AI Agents
How AI agents remember beyond the context window: working memory, long-term stores, episodic vs semantic memory, and the pitfalls.
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RAG vs Tools vs Long Context
Three ways to give a model knowledge — and the obvious one is often wrong. When to use long context, RAG, or tools, plus the 2026 shift t...
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What Is Context Engineering
The skill that superseded prompt engineering. Treat the context window as a budget, not a bucket — and manage it with four moves: write, ...
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