Building better platforms with Azure, GitHub, Terraform and AI
Agent skills are only useful if the agent knows when to use them. A clear description acts as selection metadata, helping the agent load the right guidance, avoid noisy context, and produce more consistent results across repeated engineering tasks.
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.