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    <title>agentic.bd — AI Agents, Tools &amp; Tutorials</title>
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    <description>The definitive hub for autonomous AI agents, machine learning tutorials, and vetted AI tools in Bangladesh.</description>
    <language>en</language>
    <lastBuildDate>Wed, 11 Nov 2026 15:04:52 GMT</lastBuildDate>
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      <title><![CDATA[Getting Started with Agentic Coding Using Google Antigravity (Free Plan)]]></title>
      <link>https://agentic.bd/tutorials/agentic-coding-google-antigravity-free-plan</link>
      <guid>https://agentic.bd/tutorials/agentic-coding-google-antigravity-free-plan</guid>
      <pubDate>Sat, 31 Oct 2026 19:13:12 GMT</pubDate>
      <description><![CDATA[Learn how to get started with agentic coding using Google Antigravity's free plan. This beginner-friendly guide covers Antigravity setup, AI model selection, Planning Mode, and a practical walkthrough of building a task management application with an AI coding agent. Discover how to review AI-generated code, test applications, and make the most of the free usage limits without purchasing a subscription.]]></description>
      <category><![CDATA[AI Coding & IDEs]]></category>
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      <title><![CDATA[Getting Started with Model Context Protocol (MCP): The Universal Bridge for Agents]]></title>
      <link>https://agentic.bd/tutorials/getting-started-with-model-context-protocol-mcp</link>
      <guid>https://agentic.bd/tutorials/getting-started-with-model-context-protocol-mcp</guid>
      <pubDate>Sat, 31 Oct 2026 07:29:45 GMT</pubDate>
      <description><![CDATA[Model Context Protocol (MCP) provides a standardized way for AI applications and agents to connect with external tools, databases, APIs, and services. In this beginner-friendly guide, learn how MCP works, understand its architecture, explore Tools, Resources, and Prompts, and build your first MCP server using Python. Discover how MCP simplifies AI integrations and helps developers build more capable, connected AI agents.]]></description>
      <category><![CDATA[MCP & Protocols]]></category>
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      <title><![CDATA[AI Engineer Portfolio Website Prompt (HTML, CSS & JS)]]></title>
      <link>https://agentic.bd/prompts/ai-engineer-portfolio-website-prompt-html-css-js</link>
      <guid>https://agentic.bd/prompts/ai-engineer-portfolio-website-prompt-html-css-js</guid>
      <pubDate>Fri, 23 Oct 2026 12:46:59 GMT</pubDate>
      <description><![CDATA[Generate a futuristic, high-converting AI Engineer portfolio using vanilla HTML, CSS, and JS. Copy this master UI/UX prompt with interactive canvas and Bento grids.]]></description>
      <category><![CDATA[Prompt Engineering]]></category>
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      <title><![CDATA[LangChain vs. LangGraph: Which Framework Should You Use to Build AI Agents?]]></title>
      <link>https://agentic.bd/blog/langchain-vs-langgraph-english-bangla</link>
      <guid>https://agentic.bd/blog/langchain-vs-langgraph-english-bangla</guid>
      <pubDate>Thu, 22 Oct 2026 11:04:43 GMT</pubDate>
      <description><![CDATA[LangChain and LangGraph both help developers build AI agents, but they serve different purposes. Learn how they differ, explore practical use cases and Python examples, and discover which framework is best for building AI agents, RAG applications, and complex workflows.]]></description>
      <category><![CDATA[Agent Frameworks]]></category>
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      <title><![CDATA[Build an AI Agent with Python and LangGraph (Step-by-Step Tutorial)]]></title>
      <link>https://agentic.bd/tutorials/build-ai-agent-python-langgraph</link>
      <guid>https://agentic.bd/tutorials/build-ai-agent-python-langgraph</guid>
      <pubDate>Wed, 21 Oct 2026 16:34:08 GMT</pubDate>
      <description><![CDATA[Build an AI agent as a LangGraph graph: typed state, a calculator and a live weather tool, a tool-calling loop you can actually draw, and memory that survives between messages. Full runnable code, step by step.]]></description>
      <category><![CDATA[Autonomous Agents]]></category>
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