Context Engineering
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What is Context Window in AI and LLMs? [Non-Technical Explainer + FAQs Solved]
![What is Context Window in AI and LLMs? [Non-Technical Explainer + FAQs Solved]](https://appliedai.tools/wp-content/uploads/2025/12/image-1-e1764926978383.png)
The context window defines an AI’s information processing limits, impacting its problem-solving capabilities and influencing AI industry economics.
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8 Context Engineering Risks with Mitigation Strategies Explained
Context engineering’s rise presents critical infrastructure challenges for AI agents, exposing them to new security risks like indirect prompt injection, data leakage, and cognitive degradation, necessitating tailored mitigation strategies.
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Types of Context Engineering With Examples Explained
The transition from prompt to context engineering in AI aims to improve interaction by optimizing information environments for LLMs. This shift emphasizes strategies like writing, selecting, compressing, and isolating data effectively.
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Learn Context Engineering: Resource List (Lectures, Blogs, Tutorials)
Context engineering is vital for developing effective AI agents. This post compiles resources ranging from beginner to advanced levels, covering various aspects of context management. By following structured learning paths, practitioners evolve from prompt writers to context architects, enhancing AI system capabilities.
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What is Context Engineering? – Learn Approaches by OpenAI, Anthropic, LangChain
Context engineering is crucial for developing reliable AI agents, managing their entire information pipeline beyond just prompt engineering. It encompasses instructions, memory, knowledge retrieval, and tools, divided into four pillars. Effective management of context prevents degradation of AI performance, making sophisticated AI assistants effective in task completion.