archkit gives AI coding agents the architecture context they need to generate production-quality code. Define patterns once, prevent mistakes everywhere.
AI agents generate code fast, but without architecture context they generate the wrong code fast.
AI agents don't know your project's gotchas. They'll use string concatenation for SQL, skip tenant isolation, or import across feature boundaries — every time.
Without knowing your layers (controller → service → repository), AI puts business logic in controllers, raw SQL in route handlers, and cross-feature imports everywhere.
Every prompt produces different patterns. One file uses async/await, the next uses callbacks. One query uses the ORM, the next writes raw SQL. No coherence.
Three file types that give AI agents the guardrails they need.
Package-specific WRONG / RIGHT / WHY patterns. Teach the AI what not to do with each dependency. Postgres, Redis, Keycloak — every gotcha documented once, enforced everywhere.
Architecture clusters that define feature boundaries, node layers, and data flow. The AI knows exactly which file to edit and how components connect.
Full project scaffolding configs. Define your stack, features, and skills in one JSON file. Run archkit init and get a complete .arch/ directory.
From install to structured AI output in under 5 minutes.
npm install -g archkit
archkit init walks you through your stack, features, and skills. Or use a preset: archkit init --preset saas-starter.json
Claude Code, Copilot, Cursor — any AI agent that reads project files now has your architecture context. Skills prevent gotchas. Graphs enforce boundaries. Rules define conventions.
Browse community-built skills, graphs, and presets on the arch-market marketplace. Download what you need, publish what you build.
Real projects scaffolded, developed, and maintained entirely with archkit.