Software Engineering

AI-Assisted Engineering Is Becoming a Platform Capability

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AI-assisted engineering is moving beyond proving that agents can complete tasks. The harder question is whether those workflows can be repeated, reviewed safely, kept within sensible cost, and improved over time.

This post looks at why platform teams need to treat AI usage as more than activity metrics, with a focus on token visibility, repeatable agent skills, controlled context, practical guardrails, and measurement that connects AI-assisted work to real engineering outcomes.

The Real Value of GitHub Copilot Rubber Duck

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GitHub Copilot Rubber Duck is interesting not because it adds more AI to the workflow, but because it focuses on a more important problem. In agent-driven coding, the real issue is often not generating code, but catching weak assumptions and flawed plans before they spread across larger changes. This post looks at why a second opinion inside GitHub Copilot CLI makes sense, where it could genuinely help, and why review quality matters more than more generation.