Discover and explore top open-source AI tools and projects—updated daily.
J-PsterAI workflow for predictable, auto-documenting software development
New!
Top 92.4% on SourcePulse
Summary
Pster's AI Workflow offers a model-agnostic system for predictable, auto-documenting AI-assisted software development. It targets teams aiming to reduce AI hallucination and maintain project standards by giving developers explicit control over AI execution paths. The core benefit is enhanced delivery predictability and a robust, reusable project memory via automated documentation.
How It Works
Inspired by Spec-Driven Development and XP, the workflow features developer-controlled, AI-executed steps. Users begin with /pwf-brainstorm (scope) and /pwf-plan (phased tasks), optionally using quality gates (/pwf-checklist, /pwf-clarify, /pwf-analyze). Implementation occurs via /pwf-work-plan, where AI automatically reads and updates documentation before and during each phase. An alternative /pwf-work command handles focused changes. This design prioritizes predictability, explicit developer choice, and treats documentation as central, continuously updated runtime memory.
Quick Start & Requirements
./scripts/install-plugin-local.sh; not on Cursor Marketplace./pwf-help for orientation. For new projects, /pwf-setup-workspace and /pwf-setup initialize project structure and documentation skeletons. Existing projects can use /pwf-setup and /pwf-doc-foundation all to establish baseline docs.Highlighted Details
Maintenance & Community
CONTRIBUTING.md).Licensing & Compatibility
Limitations & Caveats
3 weeks ago
Inactive