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    <title>Context on Tenu Tech Brief</title>
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    <description>Recent content in Context on Tenu Tech Brief</description>
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      <title>Field-Theoretic Memory for AI Agents: Continuous Dynamics for Context Preservation</title>
      <link>https://cluster-site.onrender.com/posts/field-theoretic-memory-for-ai-agents-continuous-dynamics-for-context-preservation/</link>
      <pubDate>Thu, 26 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/field-theoretic-memory-for-ai-agents-continuous-dynamics-for-context-preservation/</guid>
      <description>• Computer Science &amp;gt; Computation and Language [Submitted on 31 Jan 2026] Title:Field-Theoretic Memory for AI Agents: Continuous Dynamics for Context Preservation View PDF HTML (exp</description>
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      <title>Latent Context Compilation: Distilling Long Context into Compact Portable Memory</title>
      <link>https://cluster-site.onrender.com/posts/latent-context-compilation-distilling-long-context-into-compact-portable-memory/</link>
      <pubDate>Thu, 26 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/latent-context-compilation-distilling-long-context-into-compact-portable-memory/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 31 Jan 2026] Title:Latent Context Compilation: Distilling Long Context into Compact Portable Memory View PDF HTML (experimental)</description>
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      <title>Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking</title>
      <link>https://cluster-site.onrender.com/posts/untied-ulysses-memory-efficient-context-parallelism-via-headwise-chunking/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/untied-ulysses-memory-efficient-context-parallelism-via-headwise-chunking/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 24 Feb 2026] Title:Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking View PDF HTML (experimental)Abstra</description>
    </item>
    <item>
      <title>Why Model Context Protocol is suddenly on every executive agenda</title>
      <link>https://cluster-site.onrender.com/posts/why-model-context-protocol-is-suddenly-on-every-executive-agenda/</link>
      <pubDate>Tue, 24 Feb 2026 15:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/why-model-context-protocol-is-suddenly-on-every-executive-agenda/</guid>
      <description>• Why Model Context Protocol is suddenly on every executive agenda As AI agents begin operating across enterprise systems, MCP is emerging as the connective layer IT leaders can&amp;rsquo;t</description>
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      <title>Context Engineering for Coding Agents</title>
      <link>https://cluster-site.onrender.com/posts/context-engineering-for-coding-agents/</link>
      <pubDate>Tue, 24 Feb 2026 00:38:22 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/context-engineering-for-coding-agents/</guid>
      <description>• Context Engineering for Coding Agents This article is part of âExploring Gen AIâ. • A series capturing Thoughtworks technologists&amp;rsquo; explorations of using gen ai technology for sof</description>
    </item>
    <item>
      <title>Assessing LLM Response Quality in the Context of Technology-Facilitated Abuse</title>
      <link>https://cluster-site.onrender.com/posts/assessing-llm-response-quality-in-the-context-of-technology-facilitated-abuse/</link>
      <pubDate>Mon, 23 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/assessing-llm-response-quality-in-the-context-of-technology-facilitated-abuse/</guid>
      <description>• Computer Science &amp;gt; Human-Computer Interaction [Submitted on 11 Jan 2026] Title:Assessing LLM Response Quality in the Context of Technology-Facilitated Abuse View PDF HTML (experi</description>
    </item>
    <item>
      <title>Context Engineering for Coding Agents</title>
      <link>https://cluster-site.onrender.com/posts/context-engineering-for-coding-agents/</link>
      <pubDate>Sun, 22 Feb 2026 00:38:38 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/context-engineering-for-coding-agents/</guid>
      <description>• Context Engineering for Coding Agents This article is part of âExploring Gen AIâ. • A series capturing Thoughtworks technologists&amp;rsquo; explorations of using gen ai technology for sof</description>
    </item>
    <item>
      <title>Solving Context Size Issues with Docker Model Runner</title>
      <link>https://cluster-site.onrender.com/posts/solving-context-size-issues-with-docker-model-runner/</link>
      <pubDate>Fri, 13 Feb 2026 13:57:36 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/solving-context-size-issues-with-docker-model-runner/</guid>
      <description>• Context window limits hinder large language model usage. • Context packing packs multiple messages into single prompt. • Docker Model Runner supports context packing techniques.</description>
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    <item>
      <title>Salesforce and Anthropic Bring Trusted Business Context and AI Actions to Claude Through Slack and Agentforce 360</title>
      <link>https://cluster-site.onrender.com/posts/salesforce-and-anthropic-bring-trusted-business-context-and-ai-actions-to-claude-through-slack-and-agentforce-360/</link>
      <pubDate>Mon, 02 Feb 2026 14:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/salesforce-and-anthropic-bring-trusted-business-context-and-ai-actions-to-claude-through-slack-and-agentforce-360/</guid>
      <description>• Salesforce has announced support forAnthropic&amp;rsquo;s Model Context Protocol (MCP) Appswith the launch of new, bi-directional extensions in Claude. • Starting withSlackand expanding ac</description>
    </item>
    <item>
      <title>Speeding Up Variable-Length Training with Dynamic Context Parallelism and NVIDIA Megatron Core</title>
      <link>https://cluster-site.onrender.com/posts/speeding-up-variable-length-training-with-dynamic-context-parallelism-and-nvidia-megatron-core/</link>
      <pubDate>Wed, 28 Jan 2026 16:28:06 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/speeding-up-variable-length-training-with-dynamic-context-parallelism-and-nvidia-megatron-core/</guid>
      <description>• This post introduces Dynamic Context Parallelism (Dynamic-CP), a scheduling approach in NVIDIA Megatron Core used for LLM post-training or DiT pre-training. • It dynamically sele</description>
    </item>
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      <title>Background Coding Agents: Context Engineering (Honk, Part 2)</title>
      <link>https://cluster-site.onrender.com/posts/background-coding-agents-context-engineering-honk-part-2/</link>
      <pubDate>Mon, 24 Nov 2025 14:20:51 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/background-coding-agents-context-engineering-honk-part-2/</guid>
      <description>• Background Coding Agents: Context Engineering (Honk, Part 2) This is part 2 in our series about Spotify&amp;rsquo;s journey with background coding agents (internal codename: &amp;lsquo;Honk&amp;rsquo;) and th</description>
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    <item>
      <title>Background Coding Agents: Context Engineering (Part 2)</title>
      <link>https://cluster-site.onrender.com/posts/background-coding-agents-context-engineering-part-2/</link>
      <pubDate>Mon, 24 Nov 2025 14:20:51 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/background-coding-agents-context-engineering-part-2/</guid>
      <description>• Background Coding Agents: Context Engineering (Part 2) This is part 2 in our series about Spotify&amp;rsquo;s journey with background coding agents and the future of large-scale software m</description>
    </item>
    <item>
      <title>How Dash uses context engineering for smarter AI</title>
      <link>https://cluster-site.onrender.com/posts/how-dash-uses-context-engineering-for-smarter-ai/</link>
      <pubDate>Mon, 17 Nov 2025 19:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/how-dash-uses-context-engineering-for-smarter-ai/</guid>
      <description>• When we first built Dash, it looked like most enterprise search systems: a traditional RAG pipeline that combined semantic and keyword search across indexed documents. • It worke</description>
    </item>
    <item>
      <title>How Dash uses context engineering for smarter AI</title>
      <link>https://cluster-site.onrender.com/posts/how-dash-uses-context-engineering-for-smarter-ai/</link>
      <pubDate>Mon, 17 Nov 2025 19:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/how-dash-uses-context-engineering-for-smarter-ai/</guid>
      <description>• When we first built Dash, it looked like most enterprise search systems: a traditional RAG pipeline that combined semantic and keyword search across indexed documents. • It worke</description>
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    <item>
      <title>Context engineering case studies: Etsy-specific question answering</title>
      <link>https://cluster-site.onrender.com/posts/context-engineering-case-studies-etsy-specific-question-answering/</link>
      <pubDate>Tue, 19 Aug 2025 20:04:41 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/context-engineering-case-studies-etsy-specific-question-answering/</guid>
      <description>• This post investigates the benefits and limitations of prompt engineering in two instances of AI-assisted onboarding relying on large language model (LLM) technology. • Of partic</description>
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