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    <title>Blog — engineering for business decisions</title>
    <link>https://www.cognixse.com/en/blog</link>
    <description>Architecture, legacy and MVP decisions with technical context to reduce risk and build software without hidden debt.</description>
    <language>en</language>
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      <title>Why corporate software initiatives fail before code</title>
      <link>https://www.cognixse.com/en/blog/software-initiatives-fail</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>Many software initiatives fail because of unclear scope, fragile data, weak adoption and no operational owner before the first delivery.</description>
      <category>strategy</category>
      <category>operations</category>
      <category>risk</category>
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    <item>
      <title>Native app or web app: product, cost and operations decision</title>
      <link>https://www.cognixse.com/en/blog/native-app-or-web-app</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>How to choose between a native app and a web app considering usage frequency, distribution, integration, team and cost of evolution.</description>
      <category>mobile</category>
      <category>product</category>
      <category>architecture</category>
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      <title>MVP without hidden debt: what must be right from the first release</title>
      <link>https://www.cognixse.com/en/blog/mvp-without-hidden-debt</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>How to ship fast without creating a foundation that blocks billing, operations, and evolution right after launch.</description>
      <category>mvp</category>
      <category>product</category>
      <category>architecture</category>
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    <item>
      <title>Your model works until operations change: why MLOps matters</title>
      <link>https://www.cognixse.com/en/blog/mlops-models-break</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>Production models break because of data, context, versioning and lack of operational routine, not only because of algorithm errors.</description>
      <category>mlops</category>
      <category>ai</category>
      <category>operations</category>
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      <title>Microservices: when architecture makes the problem larger</title>
      <link>https://www.cognixse.com/en/blog/microservices-operational-cost</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>Microservices can reduce coupling, but they can also multiply deployment, observability, duplicated data and coordination cost.</description>
      <category>architecture</category>
      <category>microservices</category>
      <category>operations</category>
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      <title>When rewriting a legacy system stops being overkill</title>
      <link>https://www.cognixse.com/en/blog/legacy-rewrite-decision</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>A pragmatic decision path for choosing between stabilizing, slicing, or rewriting a system that has become operational risk.</description>
      <category>architecture</category>
      <category>legacy</category>
      <category>risk</category>
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      <title>Legacy modernization without rewriting everything</title>
      <link>https://www.cognixse.com/en/blog/legacy-modernization-without-rewrite</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>How to evolve critical systems in stages, reducing operational risk without betting on a complete rewrite.</description>
      <category>legacy</category>
      <category>modernization</category>
      <category>architecture</category>
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    <item>
      <title>A working system nobody wants to use: the operational cost of poor UX</title>
      <link>https://www.cognixse.com/en/blog/internal-system-ux-cost</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>When an internal system works on paper but forces workarounds, spreadsheets and rework, the problem stops being aesthetics and becomes cost.</description>
      <category>ux</category>
      <category>operations</category>
      <category>product</category>
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      <title>Generative AI in production: leaving the experiment without losing control</title>
      <link>https://www.cognixse.com/en/blog/generative-ai-production</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>What needs to exist to turn a generative AI prototype into a reliable operational workflow.</description>
      <category>generative ai</category>
      <category>architecture</category>
      <category>product</category>
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      <title>How to diagnose software bottlenecks before hiring more people</title>
      <link>https://www.cognixse.com/en/blog/diagnose-software-bottlenecks</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>A simple method for separating technical, process, and decision bottlenecks before increasing team size.</description>
      <category>diagnosis</category>
      <category>performance</category>
      <category>operations</category>
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      <title>A pipeline is not DevOps: what changes when operations mature</title>
      <link>https://www.cognixse.com/en/blog/devops-beyond-pipeline</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>CI/CD matters, but mature DevOps involves ownership, observability, rollback, incidents and learning cycles.</description>
      <category>devops</category>
      <category>operations</category>
      <category>reliability</category>
    </item>
    <item>
      <title>AI observability: what to measure before an agent becomes risk</title>
      <link>https://www.cognixse.com/en/blog/ai-observability-signals</link>
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      <pubDate>Fri, 26 Jun 2026 00:00:00 GMT</pubDate>
      <description>Logs, metrics and operational signals to know whether an AI automation stays reliable after it reaches production.</description>
      <category>ai</category>
      <category>observability</category>
      <category>risk</category>
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