Turning Linear and Figma Into a Searchable Knowledge Layer with `aviadr1/issueclaw` and `aviadr1/figmaclaw`

Most teams don’t lack information — they lack a way to search product, design, and engineering context as one system; this article explores what happens when you turn Linear and Figma into searchable markdown and let humans and AI reason across both. Product intent is in Linear. Design detail is in Figma. Implementation reality is in code. Each system is useful on its own, but the moment you need to answer a question that crosses all three, things get awkward. You open tabs, search manually, ask in Slack, and reconstruct the answer from fragments. That is tolerable for humans. It is much worse for AI. At Gigaverse, we wanted something different: not a new source of truth, and not a replacement for Linear or Figma, but a shared text layer that makes product and design context searchable, diffable, and usable by both humans and agents. That is the role of two repositories: aviadr1/issueclaw aviadr1/figmaclaw Together, they turn Linear and Figma into git-native markdown that can be search