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IBM Technology: Context Engineering for AI Agents: 4 Failure Modes to Avoid

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Context Engineering for AI Agents: 4 Failure Modes to Avoid
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Video von IBM Technology auf YouTube: Learn more about Context Engineering here → https://ibm.biz/~5YM1VAeG0 More context should make AI agents better. It…

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Learn more about Context Engineering here → https://ibm.biz/~5YM1VAeG0



More context should make AI agents better. It often does the opposite. Martin Keen explains context rot, the four major context failure modes, and how context engineering improves long-running AI agents. Learn why better agents often require less context, not more.



00:00 Bigger Context Windows, Better AI Agents? Not So Fast

00:45 Context Rot: Why AI Models Become Less Reliable Over Time

01:05 What Is Context Engineering and Why Does It Matter?

01:50 Inside an AI Agent’s Context Window: What’s Taking Up Space?

04:35 Context Poisoning: When Bad Information Becomes ‘Truth’

05:20 Context Distraction: How Long Histories Derail Agent Performance

06:03 Context Confusion: Why Too Many Tools Hurt AI Accuracy

06:55 Context Clash: When Conflicting Information Breaks Reasoning

07:32 4 Context Engineering Fixes: Validate, Compact, Curate & Prune

09:50 The Key Lesson: Why AI Agents Often Perform Better with Less Context



AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~D9ApFMnpA



AI was used in the creation of the transcript and metadata for this video.



#aiagents #contextengineering #aiworkflows #ai



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