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  <title>Blog — StarDevs</title>
  <subtitle>Notes from the StarDevs team on building AI agent systems, the infrastructure they run on, and measuring what actually got done.</subtitle>
  <link href="https://stardevs.gg/feed.xml" rel="self" />
  <link href="https://stardevs.gg/blog/" />
  <id>https://stardevs.gg/blog/</id>
  <updated>2026-10-22T00:00:00Z</updated>
  <entry>
    <title>Ten Marks, One Hand: The StarDevs Diagram Kit</title>
    <link href="https://stardevs.gg/blog/diagram-kit/" />
    <id>https://stardevs.gg/blog/diagram-kit/</id>
    <published>2026-10-22T00:00:00Z</published>
    <updated>2026-10-22T00:00:00Z</updated>
    <author><name>Mykola Lobanov</name></author>
    <category term="diagrams" />
    <category term="design system" />
    <category term="icons" />
    <category term="architecture diagrams" />
    <category term="diagram kit" />
    <summary>The glyphs we draw StarDevs systems with: the construction they share, the rules for putting them together, worked diagrams, and the files to do it yourself, under CC BY 4.0.</summary>
  </entry>
  <entry>
    <title>The New AI Benchmark Is Cost per Completed Task</title>
    <link href="https://stardevs.gg/blog/cost-per-completed-task/" />
    <id>https://stardevs.gg/blog/cost-per-completed-task/</id>
    <published>2026-10-15T00:00:00Z</published>
    <updated>2026-10-15T00:00:00Z</updated>
    <author><name>Mykola Lobanov</name></author>
    <category term="cost per task" />
    <category term="AI economics" />
    <category term="LLM cost" />
    <category term="agent evaluation" />
    <category term="unit economics" />
    <summary>The model benchmark tells you what a model can do. The production benchmark tells you what the system can finish, and at what cost: how to define, measure and report cost per completed task.</summary>
  </entry>
  <entry>
    <title>The Production AI Agent Stack in 2026</title>
    <link href="https://stardevs.gg/blog/production-ai-agent-stack-2026/" />
    <id>https://stardevs.gg/blog/production-ai-agent-stack-2026/</id>
    <published>2026-10-08T00:00:00Z</published>
    <updated>2026-10-21T00:00:00Z</updated>
    <author><name>Mykola Lobanov</name></author>
    <category term="AI agents" />
    <category term="agent architecture" />
    <category term="MCP" />
    <category term="LLM orchestration" />
    <category term="AI governance" />
    <summary>From model calls to governed systems that can plan, act, recover, and prove their work: the eight layers of a production AI agent stack, and how to tell a prototype from a system you can defend.</summary>
  </entry>
  <entry>
    <title>Multimodal Agents Are Becoming Creative Teams</title>
    <link href="https://stardevs.gg/blog/multimodal-agents-creative-teams/" />
    <id>https://stardevs.gg/blog/multimodal-agents-creative-teams/</id>
    <published>2026-10-01T00:00:00Z</published>
    <updated>2026-10-01T00:00:00Z</updated>
    <author><name>Mykola Lobanov</name></author>
    <category term="multimodal AI" />
    <category term="creative teams" />
    <category term="generative video" />
    <category term="agent workflows" />
    <category term="media production" />
    <summary>Video, voice, documents, slides, websites, and visual-to-code workflows are converging around a shared brief. The opportunity is to carry creative decisions through an entire project, and make the next revision easier.</summary>
  </entry>
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