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    <title>Platform-Engineering on DevOpsTales</title>
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      <title>AI for DevOps</title>
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      <description>AI is transforming DevOps practices through agentic AI systems that go beyond simple chatbots. These coding agents combine large language models with tools, memory, and planning capabilities to autonomously handle complex Platform Engineering and SRE tasks. By integrating with MCPs (Model Context Protocol), skills, and spec-driven development workflows, agents can create observability systems, build infrastructure APIs, and manage systems with minimal human intervention.
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      <title>Future of DevOps in the AI World</title>
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      <pubDate>Thu, 30 Apr 2026 00:00:00 +0000</pubDate>
      
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      <description>If you have been doing DevOps long enough, you remember the shift from artisanal deploys to pipeline-as-code. The next shift will feel familiar in shape even if the ingredients look alien: we are still wiring stages, gates, and blast radius—but some stages will call models and tools, not only make and kubectl.
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