Asana
Web and mobile work management platform to organize and track team projects and tasks
Automaze
Spec-driven development workflow for AI-assisted parallel execution
Battle-tested Claude Code workflow that transforms PRDs into GitHub issues and production code using parallel AI agents, Git worktrees, and full traceability.
Overview
Ship Better with Spec-Driven Development
Claude Code PM is a comprehensive workflow system that eliminates context loss, enables parallel AI execution, and maintains full traceability from requirements to production. Built for teams using Claude Code, it transforms product requirements documents (PRDs) into technical epics, breaks them into GitHub issues, and coordinates multiple AI agents working simultaneously on independent tasks.
How It Works
The system enforces a five-phase discipline: brainstorm deeply, document specifications, plan architecture, execute precisely, and track transparently. Every line of code traces back to a written specification. PRDs become epics through guided technical planning. Epics decompose into parallelizable tasks that sync to GitHub Issues. Specialized agents then execute tasks in isolated Git worktrees while maintaining progress updates visible to the entire team.
Built for Collaboration
Unlike isolated AI workflows, this system uses GitHub Issues as a collaboration protocol. Multiple Claude instances work simultaneously on the same project. Human developers see AI progress in real-time. Team members can jump in anywhere because context is always visible. The result: seamless human-AI handoffs, transparent progress tracking, and scalable development that works with your existing GitHub infrastructure.
Highlights
Parallel AI agent execution using Git worktrees to eliminate blocking and conflicts
GitHub Issues as single source of truth for transparent human-AI collaboration
Spec-driven workflow with full traceability from PRD to production code
Intelligent task prioritization and context preservation across sessions
Pros
- Eliminates context loss between development sessions with persistent specifications
- Enables true parallel execution with multiple AI agents on independent tasks
- Provides transparent audit trail and progress visibility through GitHub
- Seamless integration with existing GitHub workflows and team processes
Considerations
- Requires discipline to follow the five-phase spec-driven methodology
- Initial setup and learning curve for command-based workflow
- Depends on GitHub for issue tracking and collaboration features
- More structured than ad-hoc AI-assisted coding approaches
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Fit guide
Great for
- Teams wanting transparent AI-assisted development with full traceability
- Projects requiring parallel task execution without merge conflicts
- Organizations needing human-AI collaboration at scale with GitHub
- Developers who value spec-driven development over improvisational coding
Not ideal when
- Solo developers preferring lightweight, unstructured AI interactions
- Teams not using GitHub or unwilling to adopt issue-based workflows
- Projects requiring rapid prototyping without formal specifications
- Organizations seeking fully autonomous AI development without human oversight
How teams use it
Feature Development with Parallel Execution
Transform a PRD into 8 parallelizable tasks, run 3 AI agents simultaneously on independent issues, and ship the complete feature with full audit trail in GitHub.
Distributed Team Coordination
Enable multiple developers and AI agents across time zones to work on the same epic, with real-time progress visibility and seamless handoffs through GitHub Issues.
Technical Debt Remediation
Document refactoring requirements as a PRD, decompose into isolated tasks, and execute improvements in parallel worktrees without disrupting main development.
Onboarding New Team Members
New developers review GitHub Issues to understand project context, pick up tasks mid-stream, and contribute immediately without lengthy knowledge transfer sessions.
Tech snapshot
Shell99%
Batchfile1%
Frequently asked questions
How does this differ from using Claude Code alone?
Claude Code PM adds project management structure, GitHub integration, parallel execution via worktrees, and persistent context. Standard Claude Code operates in isolation; this system enables team collaboration and prevents context loss.
Can human developers and AI agents work on the same project?
Yes. GitHub Issues serve as the collaboration protocol. Humans see AI progress in real-time through issue comments, can take over tasks, and review AI-generated PRs using standard GitHub workflows.
What is spec-driven development in this context?
Every code change must trace back to a written specification. The workflow enforces brainstorming → documentation → planning → execution → tracking. No coding from memory or assumptions—only from explicit requirements.
How does parallel execution work without conflicts?
Tasks are decomposed with parallelization flags. Each AI agent works in an isolated Git worktree on independent issues. The system intelligently identifies which tasks can run simultaneously without touching the same code.
Do I need to use all five phases for every project?
The system is designed for the full workflow, but you can use individual commands. However, skipping phases (especially PRD and epic planning) undermines traceability and increases the risk of context loss and requirement drift.
Project at a glance
Stable- Stars
- 6,067
- Watchers
- 6,067
- Forks
- 639
LicenseMIT
Repo age5 months old
Last commit4 months ago
Primary languageShell
Last synced yesterday