AI Agent Workflow Proposed to Manage Full Software Feature Development End-to-End

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A new workflow has been proposed on DEV Community to help engineering teams use AI agents to implement entire software features, not just individual tasks. The system breaks a high-level 'Epic' into a dependency graph of smaller tasks, each processed through dedicated Planner, Builder, and Reviewer agents running in parallel where possible. A shared Epic document provides agents with objectives, constraints, and acceptance criteria, while the codebase itself supplies the technical ground truth. All task branches are ultimately merged into a single integration pull request that passes CI checks before requiring human approval. The approach aims to minimize manual intervention while preserving oversight controls proportional to the risk level of each change.

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