methodology

A formal software development methodology for AI-human collaboration provides a repeatable workflow pipeline spanning requirements, drafting, red-team reviews, replies, updates, and shipping to reduce ambiguity across project initiatives.

Structure collaborative software development lifecycle documentation using a three-file system: methodology.md as a canonical reference, next.md for upcoming tasks, and decisions.md for auditable governance records per initiative.

A red-team review workflow integrates into software development by acting as a formal pipeline stage between drafting and updating, where designated reviewers challenge requirements and drafts before the final shipping phase.

You need a formal methodology for AI-assisted software development when your team requires repeatable workflows, structured artifacts, and lightweight lifecycle governance to keep initiatives moving and auditable across multiple projects.

No, this collaborative workflow methodology requires no specific dependencies or components, serving purely as a canonical reference framework that teams can adopt across projects and plugins without external tools.

A pipeline-based methodology distinguishes itself by enforcing a strict progression from requirements to shipping with dedicated red-team review and reply stages, ensuring structured AI-human collaboration rather than ad-hoc development.