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To break down software epics into detailed user stories, you can use an AI agent team to automatically generate functional requirements, technical requirements, and acceptance criteria for each story. This ensures comprehensive SDLC planning by transforming high-level epics into granular, testable definitions.

Generating task-based implementation plans for user stories is best handled by orchestrating a multi-agent team that maps every story to granular tasks. This approach ensures 100% requirement coverage and produces detailed technical plans ready for the development team to execute.

Yes, you can automate epic lifecycle management and technical research by deploying a 4-agent team to handle the planning process. The agents manage research, technical Q&A, and critical review, ensuring comprehensive software development lifecycle coverage without manual intervention.

To identify potential risks and flag costs when planning feature development, integrate critical review and cost flagging processes directly into the epic planning workflow. This ensures budget adherence and surfaces risks early during the generation of user stories and implementation plans.

Yes, you need a project context file, such as project-context.md, to start planning an epic with an AI agent team. The agents use this file as input to orchestrate the epic breakdown, research, and technical Q&A required for generating comprehensive implementation plans.