Your AI engineers have persistent machines.

Hi there, every Twill task used to rebuild your environment from scratch. Not anymore. Every workspace now runs on a persistent dev environment that forks per task, so every task is faster, cheaper, and multi-repo.

// WHAT CHANGED

One persistent dev environment

Each workspace gets one long-lived sandbox. Set it up once (install deps, configure .env files, get the dev server running) and every future task starts from that state instead of from a blank box.

Forked for every task

Tasks start instantly with your full stack already running. No reinstall, no rebuild, no waiting on the dev server, and each task costs less because the setup work isn't being redone every time.

Multi-repo workspaces

Connect every repo you work in to the same workspace. One task can touch the frontend, the API, and a shared library in one go, then open a PR in each repo at once. The agent also figures out which repo a Linear ticket or Slack request belongs to, so you stop hand-routing work.

// ACTION REQUIRED

Every task now inherits the state of your dev env. Spend ten minutes getting it right and every future task benefits. Two ways to do it:

Dev Env mode / let the agent do it

Start a task in Dev Env mode and the specialized Dev Environment Agent runs directly on the workspace sandbox (not in a fork). Anything it installs, configures, or writes to .env persists to every future task fork.

SSH in directly / hands-on control

Click Ssh & Preview on the Environment page to drop into the sandbox from your local terminal, VS Code, or Cursor. Install packages, edit config, start a dev server.

The Environment page is where you manage the sandbox, env variables, connected repos, and SSH access. Start there.

// HEADS UP

Existing task history is still fully readable, and new tasks have full continuity. The one quirk: chat context from tasks created before this release won’t carry into follow-up messages, so the agent starts fresh when you reply on those older tasks.

SET UP YOUR ENV →

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