SDLC Workflow

To define a Git workflow for code review, this framework establishes strict branch strategies, standardized commit formats, and an explicit PR merging order. It ensures consistency and code quality by guiding reviewers through comprehensive checklists before approving merges.

The best way to coordinate agent collaboration for a new feature branch is using an orchestrator agent to decompose specs. The orchestrator dispatches tasks to specialized agents, manages the branch lifecycle, and ensures all code adheres to project standards before merging.

The software development process handles database and backend agent contracts by defining detailed guidelines for inter-agent communication. It specifies contract definitions between database-dev, backend-dev, and frontend-dev roles to ensure seamless integration and consistent API implementation.

Yes, you can use this SDLC workflow for both spec writing and deployment processes. It provides a comprehensive framework covering the entire lifecycle, from initial specification writing and task breakdown to rigorous code review and final deployment execution.

The limitation of relying on a structured development process for AI agents is the overhead of managing strict role definitions and deviation logging. If your project requires rapid prototyping without comprehensive testing or code review checklists, this rigid workflow may introduce unnecessary friction.