# Context engineering vs prompt engineering: the real difference

DevFeed: [Context engineering vs prompt engineering: the real difference](<https://devfeed.tech/articles/context-engineering-vs-prompt-engineering-the-real-difference-4788.md>)

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

Author: Jim Allen Wallace

Published: 2026-06-23T00:00:00Z

Content type: tutorial

Language: en

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

Topics: [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [context window](<https://devfeed.tech/topics/context-window.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [data](<https://devfeed.tech/topics/data.md>), [MEAN](<https://devfeed.tech/topics/mean-stack.md>), [Redis](<https://devfeed.tech/topics/redis.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [context-window](<https://devfeed.tech/tags/context-window.md>), [customer](<https://devfeed.tech/tags/customer.md>), [data](<https://devfeed.tech/tags/data.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [guide](<https://devfeed.tech/tags/guide.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [llm](<https://devfeed.tech/tags/llm.md>), [memory](<https://devfeed.tech/tags/memory.md>), [model](<https://devfeed.tech/tags/model.md>), [production](<https://devfeed.tech/tags/production.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>), [redis](<https://devfeed.tech/tags/redis.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [support](<https://devfeed.tech/tags/support.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [tool](<https://devfeed.tech/tags/tool.md>)

## AI overview

This guide explains why improving prompts alone often fails for production AI agents. It contrasts prompt engineering with context engineering, which manages retrieved documents, memory, tool outputs, user state, and other context available during inference. It presents stale or fragmented context as an infrastructure problem and introduces Redis Iris for connecting memory, live data, and retrieval.

## Source excerpt

A customer asks your support agent whether their refund went through. The agent checks, says yes, and cites a confirmation number. The refund actually bounced back twenty minutes ago, but the lookup the agent ran hit a store that only syncs overnight....