Skaftor

What Skaftor Does

Skaftor is an AI-native software delivery lifecycle (SDLC) platform that transforms how organizations build software. Instead of developers writing code line-by-line, Skaftor orchestrates AI coding agents—like Cursor and Claude Code—to turn business intent into production-ready code on one traceable, auditable thread. It serves as the system of record for the entire development process, capturing requirements, generating architecture, dispatching work to agents, and maintaining an organizational memory graph that remembers every decision and its context.

Who It's For

Skaftor is built for engineering teams, CTOs, platform teams, and regulated enterprises that need to ship faster without losing control. Design partners include fintech companies handling stored value, travel platforms managing complex API integrations, and billing systems where compliance isn't optional—teams where a wrong change is an incident, not just a bug.

The Core Problem It Solves

Modern software organizations suffer from institutional amnesia: requirements rot silently, teams duplicate work, context gets lost in handoffs, and nobody can trace shipped code back to the intent that created it. AI coding assistants help individual developers write faster, but they don't solve the organizational coordination problem. Skaftor bridges that gap by becoming the connective tissue between intent, agents, and production.

Key Features and Capabilities

• Intent-to-Production Pipeline: Describe business intent and Skaftor drafts requirements, generates architecture blueprints, breaks work into executable units, dispatches coding agents via MCP (Model Context Protocol), reviews PRs, and deploys—all on one traceable thread
• Organizational Memory & Knowledge Graph: Every feature, decision, repo, and owner is linked, enabling impact analysis, duplicate detection, and always knowing who owns what
• Agent Orchestration: Works with Cursor, Claude Code, and any MCP-compatible agent—agents receive structured work orders with repo, branch, and service context, then write code and report back
• Governed Delivery: Every change moves through approval gates with RBAC, SSO/SAML, immutable audit trails, and automated checks for blast radius and spec drift
• Spec-as-Source Compliance: Requirements compile into gated invariants that flag the moment code diverges from intent—coverage, staleness, and seam detection prevent silent divergence
• Role-Based Views: Product sees release readiness, tech leads see blast radius, QA sees risk, leadership sees confidence—same data, composed for each role
• CLI & Terminal Workflow: Zero-dependency terminal client lets engineers drive work orders over MCP without leaving the shell

Typical Workflows

1. Connect your repos, docs, and tools into one workspace
2. Describe intent; skaftorAI drafts requirements you can refine
3. Intent becomes architecture—services, data models, and interfaces mapped
4. Work breaks into scoped, assignable orders
5. Coding agents pick up orders and write code in full context
6. Every change opens a PR reviewed against the blueprint
7. Deploy to production with full traceability
8. Production signals flow back to inform the next cycle

Integrations

Skaftor plugs into GitHub, GitLab, Bitbucket, Cursor, Claude Code, Jira, Linear, Notion, Confluence, Google Cloud, Azure, and more. It runs a per-project MCP server and CLI so developers keep their existing tools while work is governed centrally.

What Differentiates Skaftor

Unlike AI coding assistants that help individuals write faster, Skaftor is the organization-wide orchestration layer. It doesn't compete with Cursor or Copilot—it orchestrates them. Every line of code traces back to the intent that shipped it, every requirement stays verifiably in force, and the organization finally has memory. For regulated teams, it provides the audit trail and compliance gates that turn AI-generated code from a risk into a competitive advantage.