AI Engineer · Software-defined vehicles · Ho Chi Minh City
I build computer-vision and edge-AI pipelines, virtual vehicle simulation, and multi-agent systems — with a research background in speech, vision, and NLP. This site is my work and what I've learned shipping it.
A static-analysis linter & security scanner for AI coding-agent configuration (Claude Code & MCP) — 58 rules, safe --fix, JSON output, an MCP server, and a 198-item catalog of vetted Skills, MCP servers, and Tools you can install with one command. The validator runs entirely in your browser.
CLI + core published on npm · live in-browser validator
AutoNxt AI · Kaizenics
A domain-agnostic agentic AI platform — multi-agent orchestration that adapts across domains. Built at AutoNxt AI for Kaizenics, with a software-defined-vehicle application running virtual cars on RemotiveLabs ECUs with Android Automotive and CARLA.
AutoNxt AI · digital.auto
A child-presence safety reminder that helps prevent children from being left unattended in a vehicle — built at AutoNxt AI with digital.auto.
Why long coding-agent sessions degrade, what compaction really loses, and the habits that keep an agent sharp: grep-first, sub-agents, short memory files.
What MCP is in mid-2026 — primitives, transports, registry — and the four things that bite once you actually install servers.
A complete, runnable Python coding agent — loop, tool schemas, read/write/edit/bash, permission prompt — plus the failure modes nobody warns you about.
The coding agents that exist in mid-2026, sorted by shape instead of vendor, with prices, licences, benchmark caveats and a decision guide.