
Backstage + AI: Stop Hunting for AI Assets
If you're working in an engineering org that uses Backstage , you already know the "Golden Path" philosophy: everything you need — infra, docs, services — lives in one unified catalog. Backstage solved the microservices mess, but now we're facing a new kind of chaos: AI fragmentation . The Problem: "Where Did Team B Save That Agent?" Right now, nearly every squad is busy spinning up their own GitHub Copilot instructions and specialized agents. The catch? All that institutional knowledge ends up trapped in siloed .md files or buried in some obscure repo. When you switch projects or need to follow an architecture standard another team has already figured out, you inevitably reinvent the wheel . Squad Silos — Two teams writing the same instructions for the same stack. Zero Visibility — No way to know an agent already exists to automate that tedious internal process. Context Drifting — Keeping security and coding standards consistent through AI becomes impossible without a single source of
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