Hauke Schnau
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T3 Code

Testing agent workflows in my own T3 Code fork

A personal fork lets me specify, prototype, and dogfood workflow ideas quickly enough to learn which tools earn a place in my engineering work.

The project today

I am the fork’s sole user. I focus on product behavior and high-level or technical specifications, while coding agents implement much of the experimental code.

What I’m solving

Agent work becomes difficult to coordinate, monitor, and continue across providers, machines, and devices. Starting an idea on a MacBook should not require keeping the laptop open or reconstructing context before work can continue on a persistent Linux machine.

My responsibility

I identify workflow friction and product possibilities, write specifications, direct agent-assisted prototypes, and evaluate them through daily use before keeping, revising, or removing them.

01

Key decisions

01

Cross-provider orchestration

Extend orchestration across provider boundaries so one agent can initiate work in another provider’s thread, such as Codex creating a Cursor Composer thread.

02

Visible parallel work

Keep parallel work understandable through a monitor, pinning, tagging, and usage visibility.

03

One-action handoff

Develop a single handoff action that preserves task and workspace context while moving active work to a remote Linux environment for background execution and later phone control.


Where it stands

Orchestration, monitoring, pinning, tagging, and usage visibility have become retained parts of my workflow.

Cross-machine handoff remains active product work rather than a finished outcome.

What I learned

The evidence is personal utility, not external adoption. The project is most credible when I show what survived dogfooding and remain explicit about implementation authorship and unfinished work.


  • TypeScript
  • React
  • React Native
  • Effect
  • Electron
  • Expo
  • Bun
  • SQLite
  • Tailscale
  • Vite+
  • Nix

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