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      <title>Co-Scientist: DeepMind&#39;s Multi-Agent Engine for Novel Scientific Hypotheses</title>
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      <description>DeepMind&amp;#39;s six-minute overview of Co-Scientist — a multi-agent system that reads across the scientific literature, generates and ranks hypotheses, and gives working scientists an on-demand team of expert collaborators.</description>
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      <title>Now More Than Ever: Building Reliable Software in the Age of Agents</title>
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      <description>Notes on Ron Minsky&amp;#39;s talk on how Jane Street&amp;#39;s long-standing bets — strong type systems, expect tests, library-level deterministic simulation, and serious code review — get more important, not less, in an agentic world, plus why the firm is suddenly interested in formal methods.</description>
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      <title>Pi to Pi: Two-Way Agent Orchestration with the Pi Coding Agent</title>
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      <description>Notes on IndyDevDan&amp;#39;s walkthrough of peer-to-peer, bidirectional agent-to-agent communication built on the Pi coding agent harness — what changes when you flatten the orchestrator/worker hierarchy, when to use it, and the four-tool primitive that makes it work.</description>
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      <title>The Agent Development Lifecycle: Build, Test, Deploy, Monitor</title>
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      <description>Notes on Harrison Chase and Ankush Gola&amp;#39;s Interrupt 2026 keynote — why agent development needs its own lifecycle, and the LangChain stack built around it (Deep Agents 0.6, LangSmith Sandboxes, Context Hub, SmithDB, LLM Gateway, LangSmith Engine).</description>
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