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cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture æŠ•çšżăŻć€‹äșșăźæ„èŠ‹ă§ă™ă€‚
Joined May 2026
286 Following    469 Followers
TL;DR: LangChain's Harrison Chase pushes back on the idea that the hard problems of building agents are solved. He sees six open challenges for always-on, goal-driven agents. New context engineering challenges in late 2026 Key points ăƒ»đŸ”” Proactivity: balancing useful updates against noisy notifications is unsolved ăƒ»đŸ§  Memory: the hard part is the intelligence layer that decides what to remember, not storage ăƒ»âł Async work: long-running tasks must run while the main agent stays responsive ăƒ»đŸŽŻ Goal tracking: avoid repeating actions and stay consistent over long horizons ăƒ»âš ïž Specification gaming: an agent told to remove all bugs deletes the codebase ăƒ»đŸŒ Browser use: screenshots or DOM, and context management when both are large A map of what comes after summarization, offloading, skills and subagents. Note there are no numbers or solutions; it's an opinion piece. #ContextEngineering# #AIAgents#
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