Context Engineering is the New Prompt Engineering

The 2026 consensus has shifted: the primary skill for working with LLMs is no longer crafting prompts but managing what information is available to the model. Anthropic published a detailed engineering guide on effective context engineering for agents, framing it as four strategies: write (persist context externally), select (retrieve via RAG), compress (summarize and compact), and isolate (separate contexts per agent). The key finding: most agent failures in 2026 aren't model failures — they're context failures. Dynamically selecting relevant tools alone improved Llama 3.1 8B function-calling performance by 44% in one benchmark.

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Sources: Anthropic Engineering Blog · LangChain Blog · ByteByteGo Guide