Psters_AI_Workflow  by J-Pster

AI workflow for predictable, auto-documenting software development

Created 3 weeks ago

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282 stars

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Project Summary

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

  • Installation: Manual via ./scripts/install-plugin-local.sh; not on Cursor Marketplace.
  • Prerequisites: Cursor IDE required.
  • Setup: Use /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.
  • Links: Getting Started (Wiki), Commands Reference (Wiki).

Highlighted Details

  • Model-Agnostic: Works with any AI model, framework, and language.
  • Automated Documentation: Generates and maintains project docs as core runtime memory.
  • Developer-Controlled Path: Explicit developer choice minimizes AI hallucination.
  • Predictable Execution: Structured, command-by-command flow ensures consistent delivery (XP-inspired).
  • Extensible: Modular design allows community contributions.

Maintenance & Community

  • Community: Active via Discord. Contributions welcomed via GitHub issues/PRs (CONTRIBUTING.md).
  • Inspiration: Informed by Compound Engineering, Superpowers, SpecKit.

Licensing & Compatibility

  • The README does not specify a license, requiring further investigation for commercial use or closed-source integration.

Limitations & Caveats

  • Manual Installation: Requires script-based setup, lacking Marketplace availability.
  • IDE Dependency: Functionality is strictly tied to the Cursor IDE.
  • Unspecified License: Lack of clear license details is a potential adoption blocker.

Health Check
Last Commit

3 weeks ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
5
Star History
282 stars in the last 26 days

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