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Establish enterprise governance, delivery standards, and assurance for AI coding assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "arc-kit" yet — see the docs or source repo.
Design a governance framework for AI coding assistants for a mid-sized software company, covering architecture principles, code review requirements, risk tiers, approval workflows, and audit record templates.
A structured governance plan with policy lists, workflow design, and practical template recommendations.
Review our AI-assisted development workflow across requirements, code generation, testing, release, and rollback, and identify governance gaps, role boundaries, and control points.
An assessment report describing weak points, risks, and recommended improvements.
Generate a pre-release checklist for enterprise AI coding assistant usage, covering architectural consistency, security, test coverage, traceability, and compliance requirements.
A project-ready checklist with detailed acceptance criteria and explanations.
Automatically save and restore AI sessions to preserve architecture context and decisions.
Generate architecture docs, ADRs, and review outputs for software design decisions.
Analyze software architecture through natural language exploration of components and data flows.
Analyze codebase architecture, inspect dependencies, and generate interactive visual diagrams.
Keep AI coding agents architecture-aware, verified, drift-checked, and safer over long tasks.
Helps AI understand code architecture through real-time relationship graphs and dependencies.