I Built an AI SDLC Scaffold

GitHub: https://github.com/pangon/ai-sdlc-scaffold I built an open-source repository template for AI-first software development, designed primarily around Claude Code, focused on the pre-coding phases (objectives elicitation, user stories, requirements definition, and design) that developers tend to cut short under tight time constraints. AI agents can help a lot in these phases too, not just in writing code. Core principles: Everything-in-repo: objectives, user stories, requirements, architecture, decisions, and task tracking all live alongside the source code. Context-window efficiency: instructions and project knowledge are organized hierarchically so the agent can load only what is needed. Artifact collections are indexed via markdown tables. Decision capture: decisions made during AI reasoning are captured and persisted as structured artifacts in the repo, so they remain reviewable, traceable, and consistently applied across sessions. I have been using this approach for my persona