CCPM: Streamlining AI Project Management with Parallel Execution

CCPM revolutionizes AI project management by providing a structured approach that transforms ideas into production code with full traceability. It uses spec-driven development, converting ideas into PRDs, then into epics, and finally into GitHub issues. This ensures persistent context across sessions, enabling parallel execution by multiple agents, thus avoiding context loss and task conflicts. CCPM integrates seamlessly with GitHub, using issues as the single source of truth, which facilitates real-time collaboration and transparent progress tracking.

The core principle of CCPM is 'No Vibe Coding,' where every line of code is traceable to a specification. The workflow involves five phases: brainstorming, documenting, planning, executing, and tracking. This disciplined approach prevents shortcuts and assumptions, ensuring precise execution of tasks. CCPM's parallel execution system allows multiple agents to work on different aspects of a single issue simultaneously, significantly increasing development velocity.

CCPM's key features include context preservation, parallel task execution, GitHub native integration, and full traceability. It operates as a standard Agent Skill, compatible with various harnesses like Claude Code and Codex, and activates through natural language triggers. The workflow phases guide users from requirement capture to task execution and progress tracking, all while maintaining a clean context.

The system has proven results, with teams reporting significant reductions in context switching time, bug rates, and feature delivery times. CCPM's local-first approach ensures speed and control, with explicit GitHub synchronization for progress updates and final deliverables. Developed by Automaze, CCPM aims to help developers ship better software faster.