skaftor

skaftor is an AI-powered workspace for software delivery that turns product intent into shipped code. Instead of writing code line by line, you describe what you want — a feature, a fix, a new service — and skaftor drafts requirements, maps out architecture, breaks the work into executable units, and dispatches coding agents to write the code. It connects to your existing tools like GitHub, GitLab, Jira, Notion, and cloud providers, so everything lives in one place. The result is a single thread from idea to production, with every decision recorded.

What makes skaftor stand out is its knowledge graph and traceability. Every feature, decision, repo, and owner is linked, so you can see the impact of a change before building it. The system detects duplicate work and flags stale specs. Coding agents like Cursor and Claude Code work through a standard MCP contract — you can swap them without changing the workflow. Each change goes through a controlled lifecycle: proposed, reviewed, approved, deployed, with an immutable audit trail. The workspace adapts to different roles — product sees readiness, tech leads see blast radius, QA sees risk, leadership sees confidence — without manual dashboards.

skaftor is built for engineering teams that want to move faster without losing control. It's especially useful for teams adopting AI coding assistants but struggling with context and coordination. Product managers can describe features and see them built. Engineering managers get full visibility into progress and compliance. Developers spend less time on boilerplate and more time directing outcomes. If your team ships software and wants a system that remembers why and how, skaftor is worth a look.