A development workflow used by an Anthropic engineer, in which a single person runs multiple Claude Code instances in parallel, is drawing attention. By running 5 to 10 sessions simultaneously in the terminal and combining subagents with git worktrees, the setup aims to let one individual produce team-scale output.
Inside Anthropic · Claude Code
One Engineer, a Whole Team's Output
An Anthropic engineer runs 5–10 Claude Code sessions in parallel — combining subagents and git worktrees — so a single person can ship at team scale. The creator's own rule: configure AI as a teammate, not a chatbot.
5–10
parallel sessions run at once by top performers
80–90%
of code from Claude Code in some teams
8 mo+
since the creator last wrote code by hand
Productivity Lift Reported
Same unit (× baseline output). Columns to scale — height is the number.
The Parallel Loop
Plan Mode
Shift+Tab drafts the plan
→
git worktrees
Isolate each session, no file conflicts
→
Subagents
5 review · 5 challenge results
→
Hooks + MCP
Auto format, test, commit
The Shared Setup
Recommended model Opus 4.5 with thinking enabled — less rework than Sonnet CLAUDE.md Tech stack, build/test commands, conventions — shared via Git Subagents code-simplifier, security-review in .claude/agents/ Integrations Slack, BigQuery, Sentry connected via MCP Pricing Pro $20/mo · Max $100/mo
Why it works
Refactoring, testing, and security review run in parallel
CLAUDE.md + hooks cut repeated mistakes
Speeds bug-fixing in unfamiliar codebases and onboarding
The catches
A subagent cannot spawn further subagents
Misconfigured approval modes risk dangerous commands
Agent Teams still experimental — under 5% public usage
"Everyones' setup is different. You should experiment."
— The workflow assumes trial-and-error tailored to each environment; parallel, autonomous operation via worktrees and MCP is the edge over rivals like Cursor.
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