I build AI systems that run businesses: agents, automations, knowledge bases, custom AI apps.
Founder of yonyon.ai · creator of OrchestKit.
yonyon.ai is a one-engineer AI studio in Tel Aviv. I design, ship and run the whole system myself, with an army of AI agents doing the work around the clock: multi-agent backends, RAG, infrastructure, CI and full-stack product. Every change is reviewed before it ships.
Stop explaining your stack. Start shipping. OrchestKit encodes production patterns (backend, frontend, AI/LLM, security, DevOps, testing, product), so Claude Code already knows your architecture before you type a word.
Claude Code
/plugin marketplace add yonatangross/orchestkit
/plugin install orkCursor: Settings → marketplaces → yonatangross/orchestkit → enable ork → new chat.
Starter 12 (skills.sh, any agent), not the whole catalog:
npx skills add yonatangross/orchestkit -s doctor -s setup -s explore -s implement -s verify -s review-pr -s commit -s expect -s assess -s brainstorm -s create-pr -s rememberThe implement skill is implement, not ork-implement.
Coverage spans backend (FastAPI, PostgreSQL, REST/GraphQL), AI/LLM (LangGraph, RAG, evals, prompt engineering), frontend (React 19, Next.js, TypeScript), workflows (PR review, implementation, brainstorming), testing, DevOps (CI/CD, Docker, Terraform), product, and security.
Repo · Docs · vs Superpowers
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Production LangGraph systems: supervisor/worker patterns, RAG over pgvector, real-time WebSocket streaming, and LLM pool failover across providers. |
End-to-end platforms with custom MCP servers, WhatsApp + comms integration, AI command centers, automated content pipelines, and LLM evaluation harnesses. |
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React 19 + Next.js front ends on FastAPI / Node back ends. Clean architecture, optimistic updates, TanStack Query, typed end to end with Zod. |
Terraform-managed infra across Hetzner, Cloudflare, and Vercel. Docker deploys, GitHub Actions CI/CD, and Cloudflare Tunnels for secure ingress. |
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