DeepSeek is practically writing an AI systems engineering textbook in public.
This is a dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
DeepSeek is practically writing an AI systems engineering textbook in public. FlashMLA, DeepGEMM, DeepEP, DeepInfer. And now its latest research tackles one of the hardest problems in long-running AI agents. The engineering behind this one is particularly interesting. DeepSeek proposes treating the LLM context window like a cache, rather than a database containing everything the agent has ever encountered. Think about an agent working continuously for weeks. It processes GitHub issues, code reviews, CI logs, tool outputs, and messages from multiple people. Even a million-token context win
Posted by Tech with Mak (48.4k followers) 4 h ago · 33 likes · 2k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: dsh-superagent-prototype.
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