×AI-native engineer
I turn software architecture, product design, and agent-driven development into working products, open skills, and reusable engineering foundations.
01 / Selected work
Released products and public systems lead. Work still being developed is separated below instead of presented as finished proof.
01
AI Creative Control System
Live product
A product system for turning rough briefs into controlled creative workflows, reusable identities, production prompts, and reviewable outputs.
Identity lock/Prompt systems/Creative workflows
Open VisualMate02
Engineering Standards
Live reference
Public architecture standards for domain boundaries, ports and adapters, reusable contracts, and decisions that remain inspectable after delivery.
Domain-driven design/Port-adapter architecture/Reviewable decisions
Open Blueprint02 / In development
Active systems remain inspectable and usable, but their status stays explicit until the capability, evidence, and release contract are complete.
// iterate
constraint · review
// incomplete by design
01
Agent Capability Framework
Active development
Open, contract-driven skills being developed to give coding agents stronger architecture, design, review, and delivery behavior.
Reusable workflows/Design + engineering/Agent constraints
Open project02
Design Intelligence Layer
In development
A design-intelligence layer for coding agents, turning vague UI intent into explicit genre direction, reusable constraints, and review gates.
Genre direction/Reusable constraints/Review gates
Open project03 / Operating principles
These principles guide architecture, product decisions, and the way I design agent-driven development workflows.
A fast team still needs clear domains, interfaces, and ownership. Speed compounds only when the system remains understandable.
AI becomes useful when intent, context, review gates, and correction paths are explicit—not when prompts are merely longer.
Released work, public repositories, and inspectable decisions carry more weight than polished claims without evidence.
A pattern earns permanence only when it makes the next product easier to build, review, and evolve.
Review run · PKahfi
Conditional passThe result records the reviewed routes and revision, the selected landing-page profile, each reviewer skill, its provisional score, canonical gates, and every condition still missing evidence.
Conditional pass
3 scored · 2 pending
Open evidence remains visible
04 / About
I’m Putera Kahfi. I work across software architecture, product design, and AI-native development to make complex systems easier to build and easier to evolve.
My work moves between shipped products, open-source capability systems, engineering standards, and experiments. The common thread is explicit structure: clear boundaries, honest status, and decisions that remain inspectable.
Domain-driven design · Ports and adapters · Reusable platform boundaries
Product systems · Interaction design · Design review and refinement
Agent workflows · Context and skill systems · Verification and correction loops
05 / Elsewhere