--- title: Context engineering explained: What every AI developer... description: Context engineering is the practice of carefully curating what an AI model sees at each step, rather than simply writing longer prompts. Unlike prompt... canonical: https://daily.dev/posts/context-engineering-explained-what-every-ai-developer-should-know-myrmh6exh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Context engineering explained: What every AI developer should know | daily.dev og:description: Context engineering is the practice of carefully curating what an AI model sees at each step, rather than simply writing longer prompts. Unlike prompt... og:url: https://daily.dev/posts/context-engineering-explained-what-every-ai-developer-should-know-myrmh6exh og:image: https://api.daily.dev/og/posts/myRmH6exh.png og:image:alt: Context engineering explained: What every AI developer should know og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Context engineering explained: What every AI developer should know **[YouTube](https://daily.dev/sources/youtube)** · 10 min read · 1 upvotes · 0 comments ## Summary Context engineering is the practice of carefully curating what an AI model sees at each step, rather than simply writing longer prompts. Unlike prompt engineering (which focuses on wording instructions), context engineering dynamically assembles the right system instructions, retrieved facts, tools, short-term notes, long-term memory, and output format before every model call. Four common failure modes are identified: poisoning (hallucinated facts reused), distraction (fixating on stale history), confusion (irrelevant details), and clash (contradictory sources). A four-step framework is presented — Write, Select, Compress, Isolate — demonstrated through a security log triage agent called Log Look. The core principle is to curate the smallest set of high-signal tokens rather than dumping everything into the context window. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is the difference between context engineering and prompt engineering? Prompt engineering is how you word and structure the instructions, examples, and constraints given to a model, while context engineering is how you assemble everything the model sees at run time, including tools, retrieved facts, history, and format. Context engineering is dynamic and happens before every model call, curating the smallest set of high-signal tokens rather than just wording a better ask. _Developers building agentic AI systems can dig into context engineering patterns and framework comparisons on daily.dev._ ### What are the four common failure modes of context in AI agents? The four failure modes are poisoning, distraction, confusion, and clash. Poisoning happens when a hallucinated fact enters context and gets reused repeatedly; distraction occurs when a model fixates on a huge history instead of planning fresh; confusion is when unrelated details push it toward a wrong answer; and clash is when two contradictory sources cause it to pick the wrong one. _Teams debugging flaky agent behavior can track context-handling techniques like these on daily.dev._ ### What are the four steps of context engineering for building AI agents? The four steps are write, select, compress, and isolate. Write means saving notes like plans and intermediate results outside the active context window; select means retrieving only the specific facts needed for the current turn; compress means summarizing long histories into short notes while keeping a fresh window; isolate means splitting large jobs into sub-agents that each handle their own context and return a short digest. _Anyone designing multi-step AI agents can follow emerging context-management patterns on daily.dev._ ## Similar posts on daily.dev - [What is context engineering? 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