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    <title>Modern DataTools Blog</title>
    <link>https://www.modern-datatools.com/blog</link>
    <description>Insights, guides, and best practices for data engineering and analytics</description>
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    <lastBuildDate>Mon, 06 Apr 2026 20:22:43 GMT</lastBuildDate>
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      <title>I Reviewed 500+ Data Tools. Here Are the 10 Things the Best Ones Get Right.</title>
      <link>https://www.modern-datatools.com/blog/500-data-tools-10-things-best-get-right</link>
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      <pubDate>Mon, 06 Apr 2026 18:54:04 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>After scoring 500+ data tools on a 100-point framework, clear patterns emerge. Here are the ten that separate great tools from forgettable ones.</description>
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      <title>Benchmarking 5 Local LLMs for Content Generation. Only One Survived.</title>
      <link>https://www.modern-datatools.com/blog/benchmarking-local-llms-qwen-model-comparison</link>
      <guid>https://www.modern-datatools.com/blog/benchmarking-local-llms-qwen-model-comparison</guid>
      <pubDate>Fri, 03 Apr 2026 20:40:37 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>Local LLMs are practical for content generation, legal document processing, and internal knowledge bases. I benchmarked five Qwen models on my MacBook Pro. Qwen 3 14B scored 91/100 avg vs 62 for Qwen 2.5 14B -- same size, dramatically better. Newer models performed worse.</description>
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      <title>How I’d Start an AI-Assisted Development Project in 2026</title>
      <link>https://www.modern-datatools.com/blog/how-id-start-an-ai-assisted-development-project-in-2026</link>
      <guid>https://www.modern-datatools.com/blog/how-id-start-an-ai-assisted-development-project-in-2026</guid>
      <pubDate>Sat, 28 Mar 2026 22:38:30 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>A practical 2026 guide to starting an AI-assisted software project — tools, agent orchestration, Git rules, baselining, documentation, and lessons learned.</description>
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      <title>ETL vs ELT in 2026: What&apos;s the Difference and Which Should You Choose?</title>
      <link>https://www.modern-datatools.com/blog/etl-vs-elt-difference-2026</link>
      <guid>https://www.modern-datatools.com/blog/etl-vs-elt-difference-2026</guid>
      <pubDate>Fri, 27 Mar 2026 20:30:49 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>ETL transforms data before loading; ELT loads first and transforms in the warehouse. Learn when to use each approach with real examples, tool comparisons, and a decision framework.</description>
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      <title>The Modern Data Stack in 2026: Complete Guide</title>
      <link>https://www.modern-datatools.com/blog/modern-data-stack-2026-complete-guide</link>
      <guid>https://www.modern-datatools.com/blog/modern-data-stack-2026-complete-guide</guid>
      <pubDate>Sat, 21 Mar 2026 21:36:49 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>A comprehensive guide to every layer of the modern data stack — ingestion, warehousing, transformation, orchestration, BI, data quality, reverse ETL, and streaming — with real tool recommendations and pricing.</description>
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      <title>The Hidden Bugs in Data Pipelines That No One Tests For</title>
      <link>https://www.modern-datatools.com/blog/the-hidden-bugs-in-data-pipelines-that-no-one-tests-for</link>
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      <pubDate>Fri, 20 Mar 2026 14:27:44 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>Data pipelines pass all tests but silently lose millions in revenue. Discover Automated Data Tests (ADT)—lightweight checks that catch join drops, sum errors, and aggregation glitches across billions of rows. Python and SQL solutions coming next.</description>
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      <title>How Spec‑Driven Development Powers AI Coding in 2026</title>
      <link>https://www.modern-datatools.com/blog/how-specdriven-development-powers-ai-coding-in-2026</link>
      <guid>https://www.modern-datatools.com/blog/how-specdriven-development-powers-ai-coding-in-2026</guid>
      <pubDate>Wed, 04 Mar 2026 17:10:26 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>How specs make AI coding reliable—and redefine the manager&apos;s role</description>
    </item>
    <item>
      <title>Welcome to the blog!</title>
      <link>https://www.modern-datatools.com/blog/welcome-to-the-blog</link>
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      <pubDate>Sat, 28 Feb 2026 20:09:08 GMT</pubDate>
      <author>Egor Burlakov</author>
      <description>Tech front lines to AI era: real stories on leading teams, testing tools, and data engineering wins—short, human-crafted lessons for your daily grind.</description>
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