SuperAPI AI Directory

worktree-setup

Deployment & operations

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Updated 10-16 08:10

About this skill

Worktree Setup

Preferred: Use Branchlet

The repo has a .branchlet.json config — it handles env file copying, dependency installation, and Prisma generation automatically.

npm install -g branchlet                                      # install once
branchlet create -n <name> -s <source-branch> -b <new-branch>
branchlet list --json   # list all worktrees

Manual Fallback

If branchlet isn't available:

  1. git worktree add ../<RepoName><N> <branch-name>
  2. Copy .env files: backend/.env, frontend/.env, autogpt_platform/.env, db/docker/.env
  3. Install deps:
    • cd autogpt_platform/backend && poetry install && poetry run prisma generate
    • cd autogpt_platform/frontend && pnpm install

Running the App

Free ports first — backend uses: 8001, 8002, 8003, 8005, 8006, 8007, 8008.

for port in 8001 8002 8003 8005 8006 8007 8008; do
  lsof -ti :$port | xargs kill -9 2>/dev/null || true
done
cd <worktree>/autogpt_platform/backend && poetry run app

CoPilot Testing Gotcha

SDK mode spawns a Claude subprocess — won't work inside Claude Code. Set CHAT_USE_CLAUDE_AGENT_SDK=false in backend/.env to use baseline mode.