Tag: context-engineering
All the articles with the tag "context-engineering".
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Building a Personal Brain OS for Your AI Agent
An agent does not need your entire knowledge base in every prompt. It needs a structure that reveals the right instructions, memories, and source material when the work calls for them.
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The Great Agent Tooling Debate
MCP offers discovery and a standard interface; CLIs offer composability and familiar controls. I compare their costs and explain why my default is CLI-first, not CLI-only.
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Surviving the Context Window in Practice
A context window is a budget. These are the tactics I use to manage it: scope each session, write durable state to disk, isolate research, and clear between phases.
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Context Engineering: The Skill That Replaced Prompt Engineering
A prompt is only one part of what an agent sees. This four-layer framework covers instructions, context, intent, specifications, and when each belongs in the workflow.
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Building Agent Memory That Survives Between Sessions
Teresa Torres's three-layer context system and Patrick Zandl's claudecode-kb show how to preserve useful context between sessions without loading everything every time.