Reusable engineering and design capabilities for coding agents.

Creator and maintainer · Open source · Actively refined

Turns engineering, product, design, review, and delivery practices into bounded skills with explicit quality gates.

Runtime-agnostic contracts for Native AI Engineering.

Framework and contract designer · Open source · Public core

Defines domain concepts, lifecycle rules, ports, contracts, and adapter boundaries.

AI Creative Control System for structured, reviewable creative workflows.

Product builder and system designer · Private implementation

Connects product direction, workflow architecture, design systems, and AI-assisted creative production.

AI agents should not only generate artifacts. They should improve the engineering system that produces them.

Context → Decision → Implementation → Verification → Learning

• Explicit boundaries over hidden assumptions. Roles, contracts, ports, and ownership remain visible.
• Evidence before completion claims. Generated output is unfinished until it has been tested and reviewed.
• Universal principles, contextual implementation. Principles travel across mediums; implementation remains contextual.

• Software architecture — domain-driven design, ports-and-adapters, API contracts, and event-driven systems.
• Product engineering — Go, PHP, Next.js, Docker, modular systems, and developer experience.
• Native AI systems — agent roles, skills, context, orchestration, behavioral evaluation, and review gates.
• Design systems — hierarchy, adaptive components, cross-medium design, and evidence-backed review.

Refining Native AI Engineering into a practical public framework while testing reusable design capabilities across UI, static visuals, identity systems, and constrained documents.

GitHub · pkahfi.com · AI products and resources · VisualMate

Open to conversations around software architecture, Native AI Engineering, agent-driven development, product systems, and design-system infrastructure.