Add AI Engineers to Your Team
They use the same tools you do — GitHub repos, Figma components, Vercel deploys. They write tests first, open real PRs, and earn trust through performance. You review their work.
Same Tools. Same Workflow. Real Artifacts.
GitHub branches, test-driven development, PR reviews, Figma design system parity, and production deploys. Not generated snippets — engineering artifacts.
React-to-Figma Pipeline
Your running React app becomes pixel-perfect Figma components automatically. 115+ translator rules, 825 tests. What runs in production IS what designers see in Figma. No manual redlining.
Existing Repo Ingestion
Connect your GitHub repo. 4-pass Cortex analysis detects your framework, patterns, and conventions. AI engineers follow YOUR rules, not their own guesses.
8 Quality Gates
Type safety, design tokens, E2E tests, security scans, API contracts — every PR must pass all 8 gates before merge. Structurally prevents bad code.
Cortex Learning Loop
Every app built makes the next one smarter. Pattern mining, outcome monitoring, and knowledge graduation. The 1st app needs 10 fixes. The 50th needs 2.
Handoff System
AI engineers escalate decisions they can't make alone — with full context, blockers, and recommendations. You make the call. Zero context loss between sessions.
Trust Earned, Not Assumed
Every AI engineer starts at Observer. Through demonstrated competence, they earn autonomy across 5 tiers. You control the thresholds.
From Repo to Production
Connect your codebase. AI engineers handle the rest. You review and approve.
Connect Your Repo
New build or existing codebase — connect your GitHub repo and SkrumRunner analyzes your conventions, tech stack, and architecture.
AI Engineers Plan
Cortex generates epics and tasks with implementation prompts. Convention enforcement means AI follows your patterns, not its own.
Review Real PRs
AI engineers create branches, write tests first, implement features, and open PRs. 8 quality gates pass before you see anything.
Ship and Sync
Approved PRs deploy to production. TokenWeave keeps your Figma design system in sync with the running app. Cortex learns from every deploy.
8 Quality Gates. Zero Shortcuts.
Every PR passes type safety, test suite, design system compliance, and API contract enforcement before you see it.
Simple, Transparent Pricing
Start free. Add more AI engineers as your team grows.
- ✓Unlimited projects
- ✓10 AI agents
- ✓Industry intelligence
- ✓Cortex self-learning
- ✓Priority support
- ✓Unlimited everything
- ✓Custom agent training
- ✓SSO + SAML
- ✓Dedicated account manager
- ✓SLA guarantee
Frequently Asked Questions
How is this different from Copilot or Cursor?
Copilot suggests code. Cursor is an AI-powered IDE. Both need a developer to drive. SkrumRunner is the engineering team — it creates branches, writes tests, implements features, opens PRs, and maintains your Figma design system. You review and approve.
Can I use my existing codebase?
Yes. Connect your GitHub repo and Cortex runs a 4-pass analysis: discovers your framework, scores quality, extracts conventions, and verifies its findings. AI engineers then follow your patterns as hard constraints. Five service types: rebuild, modernize, cleanup, feature addition, or hybrid.
How does the trust system work?
Every AI engineer starts at 0% trust (Observer tier). Successful tasks increase the score. Failed tasks decrease it. At Expert tier (61-80%), they can review and approve PRs from lower-tier agents. At Autonomous (81-100%), they ship end-to-end. Trust is earned, not assumed.
What is TokenWeave?
TokenWeave is the React-to-Figma pipeline built into SkrumRunner. It scans your running app and produces pixel-perfect Figma components — tokens, styles, layouts, and all. 115+ translator rules, 825 tests. What designers see in Figma matches what runs in production, automatically.
What if SkrumRunner goes away?
You have a standard GitHub repo with real code, real tests, and real CI. Any developer can pick it up tomorrow. No vendor lock-in, no proprietary formats. Everything is in GitHub — that is the point.
How much does an AI engineer cost compared to a human?
SkrumRunner Pro costs a fraction of a junior developer salary. AI engineers work 24/7 with zero ramp-up time, consistent patterns from the Vault (120+ architectural docs), and a complete audit trail. Agencies cost $3,000-5,000/month with less transparency.
Your AI Engineering Team Starts Tonight
Connect your GitHub repo. AI engineers start working immediately. Every action logged. Every decision explained. Trust earned, not assumed.