Tell the captain what you want
State the goal in one sentence, or use a ready-made template. The captain breaks the big job into small tasks, and handles splitting, assigning, and reviewing.
Split one task across multiple parallel AI coding sessions. Expensive models only plan, review, and make the calls; cheap models do the actual typing. Each worker AI edits only its own code copy — they can't see each other, and they can't touch your main branch until you approve the merge. Save money, and never worry about your code getting scrambled.
Free plan forever · 3 concurrent sessions · no credit card required
› Captain Breaking down the goal: keep zh / en / ja in sync
├─ 派发 worker/i18n-zh driven by Z.ai · isolated copy
├─ 派发 worker/i18n-clean driven by Z.ai · isolated copy
└─ 派发 worker/i18n-ja driven by Z.ai · isolated copy
✓ worker/i18n-zh — filled in 12 keys · auto-approved (low risk · pure addition)
! ! worker/i18n-clean plans to delete 7 keys, 2 look dynamically referenced
→ → escalated to you: deletion would affect SessionCard.tsx
✓ worker/i18n-ja — proofread 31 entries · waiting to merge into main
› 3 auto-approved · 1 needs your confirmation · nothing pushed to remote▌
Most people juggle three or four terminals running AIs, then spend more time figuring out "which window is this" and "what did it just change" than they actually save.
State the goal in one sentence, or use a ready-made template. The captain breaks the big job into small tasks, and handles splitting, assigning, and reviewing.
Each worker AI gets its own working directory on the same repo. The files they change are invisible to each other, and the main branch stays untouched.
Low-risk changes auto-approve; risky ones get escalated to you with the reasoning and a diff summary. Only merges to main once you approve.
No new tools, no new habits. Claude Code, Codex, Gemini CLI and other sessions are grouped by project, switch on one screen — a real terminal, real process, real file tree, not a simulator.
Not a prompt telling it "please don't mess things up" — it's separated at the filesystem level: each worker AI gets its own working directory (a Git worktree).
Model stuck, or too expensive? Hit "switch AI" and the whole conversation hands off to another CLI as close to intact as possible, and you keep going.
Current branch, how far behind main, how many files uncommitted — all shown right above the session. Have the AI read the diff before writing the commit message.
Changes are auto-graded by risk: low-risk changes auto-approve, medium/high-risk ones come with the reasoning and changed files, queued for your word.
A workflow you finally got working can be saved as a "skill", reused instantly next time, and synced to your other machines too.
Spin up a temporary phone-accessible link, check where the AI's at and where it's stuck while you're out, tap to confirm and let it keep going.
The captain keeps its judgment on an official flagship quota, while worker AIs run Claude Code on cheap providers — cutting the cost of repetitive work by an order of magnitude.
Bring your own model provider, MCP supported too. The captain and each worker AI can each choose their own provider and toolset.
Switch the file tree between the "AI's working copy" and "main" with one click, and scan through it yourself before merging.
Open a few more terminal tabs in the same working directory to run builds and tail logs, no need to open another terminal app and cd around.
When the AI stops for confirmation, Enter, number keys, and Esc sit right beside the input box — no need to switch back to the terminal to find the cursor.
In a typical i18n maintenance task, only "how to split it" and "the final review" deserve the most expensive quota. The other ninety percent is repetitive labor — plenty handled by Claude Code running on a cheap provider.
Illustrative numbers, actual cost depends on your task, provider, and chosen models.
Free is enough to run a full end-to-end pass: 3 concurrent sessions, 1 worker AI assigned. Pro unlocks unlimited parallel sessions and workers.
Yours. WebCode AI Studio is just the workstation — it uses your own Claude Code, Codex, Gemini CLI accounts, API keys, and providers. Usage is billed directly to your existing accounts.
No restart needed. Switching hands off the current conversation to another CLI as completely as possible, and you keep going from there. Extremely long sessions may trim some detail, but the requirements, constraints, and gotchas carry over.
No. Changes made by worker AIs stay only in their own code copy — they merge back to the main branch only when you click "merge"; pushing to the remote is always initiated by you.
No. It just manages the CLI process already installed on your machine — a real terminal, not a simulator, so your existing config, login state, and shortcuts are all still there.
No. All sessions and files run locally on your machine. A temporary, closable channel is only opened when you actively turn on remote viewing from your phone.
Download it, log in with your existing CLI, and run your first orchestration in five minutes.