pdca-frameworklisted

# PDCA Framework for AI-Assisted Code Generation A disciplined approach to AI-assisted code generation that employs agile practices organized in the Plan-Do-Check-Act cycle. This framework occurs within individual code generation sessions as a nested loop, with full cycles taking 1-3 hours. ## Core Philosophy This framework addresses the sustainability crisis in AI code generation where research shows: - 10x increase in duplicated code blocks (GitClear 2024) - 7.2% decrease in delivery stability per 25% AI adoption increase (Google DORA 2024) - 19% slower development with AI tools vs. without (METR research) The solution keeps humans actively engaged, empowered, and accountable while using structured prompts to regulate agent behavior toward transparency and discipline. ## Working Agreements Commitments you hold yourself accountable to when interacting with coding agents. See `references/working-agreements.md` for complete list and examples. **Core principles:** - Enforce strict TDD: one failing test at a time, no exceptions - Respect existing architecture: work within established patterns - Intervene immediately on process violations - Explicitly establish methodology, scope, and intervention rights before coding ## Beads Integration (Optional) Beads provides persistent, git-backed memory across PDCA sessions: - **Cross-session continuity**: Resume cycles days/weeks later with full context - **Task dependency tracking**: Link Plan → Do → Check → Act formally - **Sea