Asana
Web and mobile work management platform to organize and track team projects and tasks
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
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.
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.
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.
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.
When teams consider Automaze, these hosted platforms usually appear on the same shortlist.
Web and mobile work management platform to organize and track team projects and tasks
Web-based work tracking service in Azure DevOps for planning, tracking, and discussing work across development teams
Project management and team collaboration tool focused on simplicity and effective communication
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
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.
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.
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.
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.
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.
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
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