Split frontend and backend work across Claude Code and Codex

Tools

Claude Code, Codex

Overview

A poster ran Claude Code and Codex in parallel for 15 days, with Claude Code on the frontend and another agent on the backend.

Workflow

Suggested implementation: Split frontend tasks to Claude Code and backend tasks to Codex. Use Tutti as a shared workspace for 15 days to maintain live context, files, and task outputs. Forward task cards and use @ references for handoffs instead of re-explaining work. Human role: Monitor agent interactions and approve task transitions.

Reported result

Actual outcomes are unknown as the source fetch failed. Proposed measurable acceptance check: Verify that both agents access identical live context and files in Tutti. Measure reduction in coordination overhead and time-to-recovery from failures by checking the last execution step.

Human role

The original post does not say how a person stayed involved.

Limitations

Prerequisites: Access to Claude Code, Codex, and Tutti. Constraint: Requires stable MCP configuration for teammate agents. Integration uncertainty: Source reliability is low due to fetch failure. Human approvals: Required for task card forwarding and final code merges.

Try it

Act as a project manager setting up a dual-agent workflow. I have a web application project with separate frontend and backend components. [replaceable inputs: project repo URL, specific frontend framework, backend language]. Step 1: Configure Claude Code to handle frontend tasks and Codex to handle backend tasks. Step 2: Set up Tutti as a shared workspace for 15 days. Ensure both agents can see the same live context, files, and task outputs. Step 3: Implement a task card forwarding system. Use @ references to assign tasks between agents instead of manual re-explanation. Step 4: Monitor the board for in-progress, completed, failed, or stopped tasks. Step 5: If a failure occurs, check the last execution step to recover quickly. Output: A configuration guide for this setup and a log of task handoffs. Quality Measure: Confirm both agents access identical context. Track time saved on handoffs. Safeguards: Do not deploy code to production without human review. Ask clarifying questions if the project structure is unclear. Start with a small sample task to verify the workflow before scaling.

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