Plugin / Tooling · developer-tooling
Personal AI-native engineering environment
AI Development CultureQuality + Knowledge Claude Codeagent pluginshooksMCP
Problem
AI coding tools give inconsistent results out of the box — quality drifts, context gets lost between sessions, and token costs grow with project size.
Approach
Built a personal AI-native environment around agent tooling — custom plugins, skills, and hooks; per-language engineering rules the agent must follow; token-optimized command tooling; structured verification rituals before any change is called done.
Result
A daily production workflow where AI handles implementation mechanics under engineering controls — the practical base for the AI development culture service.
Evidence
Demo on request; this site itself is built within this workflow.
Available for: live demo
This is the workflow I sell as a service because I run it daily: agent skills enforce process (planning, TDD, verification before completion), hooks enforce tooling rules, and project knowledge is kept AI-readable so context survives between sessions.