# Context engineering for AI: what it is & how to build it

DevFeed: [Context engineering for AI: what it is & how to build it](<https://devfeed.tech/articles/context-engineering-for-ai-what-it-is-how-to-build-it-4785.md>)

Original publisher: [Read original article](<https://redis.io/blog/context-engineering-ai/>)

Author: Simba Khadder

Published: 2026-07-29T00:00:00Z

Content type: tutorial

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [apps](<https://devfeed.tech/tags/apps.md>), [crm](<https://devfeed.tech/tags/crm.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [history](<https://devfeed.tech/tags/history.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [latency](<https://devfeed.tech/tags/latency.md>), [llm](<https://devfeed.tech/tags/llm.md>), [model](<https://devfeed.tech/tags/model.md>), [policy](<https://devfeed.tech/tags/policy.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [support](<https://devfeed.tech/tags/support.md>), [systems](<https://devfeed.tech/tags/systems.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [tool](<https://devfeed.tech/tags/tool.md>)

## AI overview

A guide to context engineering for AI agents: selecting and managing the instructions, history, retrieved documents, tool outputs, and state sent to an LLM during inference. It explains how deliberate context management helps avoid hallucinations, excessive context, latency, and degraded reasoning in multi-step agent workflows.

## Source excerpt

Your support agent confidently tells a customer they qualify for a refund under a 60-day return policy. Your actual policy is 30 days. The agent hallucinated the longer window, and the easy reaction is to blame the model. But the model never saw your ...