Plan with PRDs and delegate tasks to cheaper agents
A developer uses a high-level agent to write a PRD, splits it into a task list, and hands the work to cheaper agents in a production workflow. Task: Suggested implementation: Use a high-level agent (e.g., Opus) to draft a Product Requirements Document (PRD) and decompose it into a discrete task list. Delegate execution of these tasks to lower-cost agents within a task-based workflow that enforces Test-Driven Development (TDD) and utilizes git trees. Human role: Review PRD structure, validate task outputs, and approve integration before merging.; tools: Claude Code, Claude. Human role: The original post does not say how a person stayed involved.; limitations: This approach depends on custom infrastructure including task enforcement, persistent memory, and an in-progress orchestrator, which may not be readily available. Integration uncertainty exists regarding how well cheaper agents handle complex TDD requirements without supervision. Human approvals are critical for PRD validation and final code integration..
Tools
Published on Agent Work Atlas:
Overview
A developer uses a high-level agent to write a PRD, splits it into a task list, and hands the work to cheaper agents in a production workflow.
Workflow
Suggested implementation: Use a high-level agent (e.g., Opus) to draft a Product Requirements Document (PRD) and decompose it into a discrete task list. Delegate execution of these tasks to lower-cost agents within a task-based workflow that enforces Test-Driven Development (TDD) and utilizes git trees. Human role: Review PRD structure, validate task outputs, and approve integration before merging.
Reported result
No actual performance metrics or business outcomes are reported in the source. The workflow is described as an actively evolving internal system rather than a finished product, with the user still building the infrastructure. Proposed acceptance check: Measure cost savings per completed task versus using a single high-level agent, and track defect rates in TDD-enforced outputs.
Human role
The original post does not say how a person stayed involved.
Limitations
This approach depends on custom infrastructure including task enforcement, persistent memory, and an in-progress orchestrator, which may not be readily available. Integration uncertainty exists regarding how well cheaper agents handle complex TDD requirements without supervision. Human approvals are critical for PRD validation and final code integration.
Try it
I want to pilot a multi-agent workflow for a new feature in my [Project Name] repository. First, use a high-level agent to draft a PRD for [Feature Description], ensuring it includes clear acceptance criteria. Then, break the PRD into 3-5 discrete tasks suitable for lower-cost agents. For each task, instruct the agent to write tests first (TDD) and implement the code in a separate git branch. I will review the PRD and the first task's output before proceeding. Please confirm you understand the TDD requirement and branch strategy before starting. If any input is missing, ask me for clarification on the feature scope or repository structure.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.