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ringozzt/README.md
Ringo
Build systems that think with people — not just for them.
Engineer · Hangzhou · TypeScript · Go · Agent runtimes · Product craft

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I care about where software meets judgment — the thin layer where agents, products, and humans actually collaborate.

Most of my work lives in three currents:

Agent systems

Local-first agent runtimes, multi-agent collaboration, tool-use loops, and the infrastructure that makes long-running AI work trustworthy.

Human ↔ agent interfaces

Native desktop utilities, browser feedback channels, and UX that turns vague intent into precise machine action — without a wall of prompts.

Product engineering at scale

Full-stack delivery across TypeScript and Go: monorepos, BFF/gateway patterns, observability, and shipping under real production constraints.

Day job is large-scale product engineering at ByteDance. Public writing and open source stay intentionally abstract — the interesting details are usually the ones that shouldn't leave the building.


Selected public work

Minimal macOS translate-on-select. ⌥D for text, ⌥S for OCR — powered by the system Translation & Vision stack. Zero third-party API, zero account, zero bill.

Swift · AppKit · Vision · system Translation

Self-hosted multi-user local AI agent system. Chat, tool traces, workspace ops — an attempt to make agent teams feel like real software, not a terminal demo.

TypeScript · Node · agent orchestration

A small Chrome experiment for posture-aware sitting. Local camera, local storage — proof that useful software can stay on-device.

Chrome extension · on-device ML UX

Older notes from the climb: frontend fundamentals, systems thinking, and the habit of writing things down.

learning log · 日拱一卒

What I'm exploring (public-safe snapshot)

From recent local craft — without naming internal products:

  • Coding agents & workbenches — orchestration, skills, eval harnesses, and desktop shells around Claude Code / Codex-class runtimes
  • Visual feedback for agents — browser-side annotation that turns UI intent into structured agent input
  • Native utilities — macOS tools that respect the OS instead of fighting it
  • Small games & engines — canvas physics, browser 3D, games as a lab for deterministic simulation
  • Language surface area — TypeScript for product velocity, Go for durable services

Stack

TypeScript Go Node.js React Swift Python

Claude Code Codex Agents macOS


Currently

  • Designing agent collaboration that feels like a team, not a chat box
  • Collecting sharp tools at the edge of AI × systems × craft
  • Open to thoughtful collaboration on open-source agent infrastructure and developer experience

Hangzhou · China · UTC+8 · Less noise. More signal.

Pinned Loading

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