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      <title>tech-studies</title>
      <link>https://iagodantasf.github.io/tech-studies</link>
      <description>Last 10 notes on tech-studies</description>
      <generator>Quartz -- quartz.jzhao.xyz</generator>
      <item>
    <title>Remote repositories</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/git-github/lessons/remote-repositories/</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/git-github/lessons/remote-repositories/</guid>
    <description><![CDATA[ Remote repositories Lessons in this group, roughly in build order: what-is-a-remote — A remote is a named bookmark for another copy of the repository (a URL plus a fetch/push refspec), letting… cloning-git-clone — git clone copies a remote repository’s full object database to a new local directory, ... ]]></description>
    <pubDate>Sun, 31 May 2026 00:47:49 GMT</pubDate>
  </item><item>
    <title>CATALOG</title>
    <link>https://iagodantasf.github.io/tech-studies/CATALOG</link>
    <guid>https://iagodantasf.github.io/tech-studies/CATALOG</guid>
    <description><![CDATA[ Catalog Generated by node scripts/build-dashboard.mjs — do not hand-edit. 90 roadmaps · 623 lessons written across 10 track(s) · 7327 nodes mapped. ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>tech-studies</title>
    <link>https://iagodantasf.github.io/tech-studies/</link>
    <guid>https://iagodantasf.github.io/tech-studies/</guid>
    <description><![CDATA[  Generated by node scripts/build-dashboard.mjs — do not hand-edit. 90 roadmaps · 623 lessons written across 10 track(s) · 7327 nodes mapped. ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>AI Agents</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/</guid>
    <description><![CDATA[ AI Agents roadmap.sh: roadmap.sh/ai-agents Suggested path through the AI Agents nodes. Each node links to its lesson when written. ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>DAG Agents</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/dag-agents</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/dag-agents</guid>
    <description><![CDATA[ DAG Agents An agent whose plan is a directed acyclic graph of tasks — nodes are steps, edges are data/ordering dependencies — so independent branches run in parallel and the structure forbids loops. ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>Agent Architectures</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/</guid>
    <description><![CDATA[ Agent Architectures Lessons in this group, roughly in build order: planner-executor — A two-role architecture that splits an agent into a planner that writes the whole plan up front and an… dag-agents — An agent whose plan is a directed acyclic graph of tasks — nodes are steps, edges are data/orderi... ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>Planner-Executor</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/planner-executor</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/planner-executor</guid>
    <description><![CDATA[ Planner-Executor A two-role architecture that splits an agent into a planner that writes the whole plan up front and an executor that carries out each step. ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>Tree of Thought (ToT)</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/tree-of-thought-tot</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-architectures/tree-of-thought-tot</guid>
    <description><![CDATA[ Tree of Thought (ToT) A reasoning architecture that explores multiple candidate reasoning paths as a search tree — generating several next thoughts at each step, scoring them, and backtracking from dead ends. ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>Agent Deployment</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-deployment/</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-deployment/</guid>
    <description><![CDATA[ Agent Deployment Lessons in this group, roughly in build order: local-desktop — Running the agent loop as a process on the user’s own machine, where it can touch the local filesystem,… remote-cloud — Running the agent loop on a server you operate, exposed over an API, so many users hit one… . ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
  </item><item>
    <title>Local Desktop</title>
    <link>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-deployment/local-desktop</link>
    <guid>https://iagodantasf.github.io/tech-studies/roadmaps/skill-based/ai-agents/lessons/agent-deployment/local-desktop</guid>
    <description><![CDATA[ Local Desktop Running the agent loop as a process on the user’s own machine, where it can touch the local filesystem, shell, and apps directly instead of through a remote API surface. ]]></description>
    <pubDate>Sun, 31 May 2026 00:44:03 GMT</pubDate>
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