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    <description>A tool-agnostic agentic coding course for developers: context, instructions, and validation loops for AI agents.</description>
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    <lastBuildDate>Fri, 23 Oct 2026 00:00:00 GMT</lastBuildDate>
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      <title>Context engineering for coding agents: what to load and what to guard</title>
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      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
      <description>Most agent tokens are old context re-sent on every call. Learn how a coding agent uses its context window and how to keep it small and relevant.</description>
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      <title>How to review agent-written code without piling up tech debt</title>
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      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
      <description>Agent-written code needs a different review. What to check once the tests pass, which patterns create tech debt, and how to keep changes small.</description>
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      <title>Subagent orchestration: plan with a strong model, execute with cheaper ones</title>
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      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
      <description>Orchestration lets a stronger model plan and verify while cheaper models do the narrow work. How to set it up and the mistake that makes subagents expensive.</description>
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      <title>What is agentic coding? A practical guide for developers</title>
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      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
      <description>Agentic coding means an AI agent plans, edits, runs tools, and checks its work while you set the goal and verify the result. Here is the system behind it.</description>
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      <title>Validation loops: how to make agent-written code verifiable</title>
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      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
      <description>A validation loop is an automated check the agent runs on its own changes. Learn which checks to use, how to wire them in, and how to enforce them.</description>
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      <title>How to write an AGENTS.md that coding agents actually follow</title>
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      <pubDate>Fri, 23 Oct 2026 00:00:00 GMT</pubDate>
      <description>Keep AGENTS.md short, specific, and enforced. What to include, what to leave out, and why instructions alone are only suggestions to an agent.</description>
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