Project Init

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Co-Authored-By: Claude <noreply@anthropic.com>

docs/PRD.md

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+# ColaFlow Product Requirements Document (PRD)
+
+**Version:** 1.0
+**Date:** 2025-11-02
+**Product Manager:** ColaFlow PM Team
+**Status:** Draft
+
+---
+
+## Executive Summary
+
+ColaFlow is a next-generation AI-powered project management system built on the Model Context Protocol (MCP). It aims to revolutionize team collaboration by making AI a first-class team member that can safely read, write, and manage project data while maintaining human oversight and control.
+
+### Vision Statement
+> "Flow your work, with AI in every loop."
+
+### Mission
+To create a platform where human-AI collaboration flows naturally, enabling AI to automatically generate and update tasks, documents, and progress reports while humans maintain decision-making authority through secure review and approval mechanisms.
+
+### Strategic Goals
+1. **AI-Native Project Management**: Enable AI tools to directly participate in project workflows
+2. **Seamless Integration**: Connect ChatGPT, Claude, GitHub, Calendar, Slack, and other tools through MCP
+3. **Secure Collaboration**: Provide auditable, safe, and reversible AI operations
+4. **Agile Compatibility**: Support Jira-style agile methodologies (Epic/Story/Task/Sprint/Workflow)
+5. **Platform Hub**: Become the central hub for development and collaboration
+
+---
+
+## Product Overview
+
+### What is ColaFlow?
+
+ColaFlow is an intelligent project management platform inspired by Jira's agile management model but enhanced with AI capabilities and open protocol integration. It enables:
+
+- **AI-Human Collaboration**: AI can propose changes, generate content, and automate workflows with human approval
+- **MCP Protocol Integration**: Universal connectivity with AI tools and external systems
+- **Full Project Lifecycle**: From idea to delivery with AI assistance at every stage
+- **Security & Auditability**: All AI operations are logged, reviewable, and reversible
+
+### Target Users
+
+**Primary Users:**
+- Product Managers: Project planning, requirement management, progress tracking
+- Software Developers: Task execution, code integration, technical documentation
+- Team Leads: Resource allocation, sprint planning, team coordination
+- AI Power Users: Advanced automation, workflow optimization
+
+**Secondary Users:**
+- QA Engineers: Test planning, bug tracking, quality metrics
+- Stakeholders: Progress visibility, report generation, decision support
+- External AI Agents: Automated task creation, documentation, reporting
+
+### Value Proposition
+
+**For Teams:**
+- **30% faster project creation** through AI-assisted planning
+- **50%+ automated task generation** reducing manual overhead
+- **Unified workflow hub** eliminating tool fragmentation
+- **Complete audit trail** ensuring accountability and compliance
+
+**For Organizations:**
+- **Reduced administrative burden** on project managers
+- **Improved visibility** into project health and risks
+- **Scalable processes** that grow with team size
+- **Future-proof platform** built on open standards (MCP)
+
+---
+
+## Core Requirements
+
+### Functional Requirements
+
+#### 1. Project Management Core (M1 Priority)
+
+**1.1 Project Hierarchy**
+- Support Epic → Story → Task → Sub-task structure
+- Customizable workflows and statuses (To Do → In Progress → Review → Done)
+- Project templates and cloning capabilities
+- Cross-project dependencies and linking
+
+**1.2 Task Management**
+- Rich task attributes: priority, assignee, labels, due dates, estimates
+- Custom fields and metadata
+- Attachment support (documents, images, links)
+- Comment threads and @mentions
+- Task history and activity log
+
+**1.3 Visualization**
+- Kanban boards with drag-and-drop
+- Gantt charts for timeline planning
+- Calendar view for scheduling
+- Burndown charts for sprint tracking
+- Custom dashboards and filters
+
+**1.4 Audit & Version Control**
+- Complete change history for all entities
+- Rollback capability with transaction tokens
+- Field-level change tracking
+- User action attribution
+
+#### 2. MCP Integration Layer (M2 Priority)
+
+**2.1 MCP Server**
+
+**Resources Exposed:**
+- `projects.search` - Query projects by various criteria
+- `issues.search` - Search tasks across projects
+- `docs.create_draft` - Generate document drafts
+- `reports.daily` - Access daily progress reports
+- `sprints.current` - Current sprint information
+- `backlogs.view` - Product backlog access
+
+**Tools Exposed:**
+- `create_issue` - Create new tasks/stories/epics
+- `update_status` - Modify task states
+- `assign_task` - Assign resources
+- `log_decision` - Record key decisions
+- `generate_report` - Create progress summaries
+- `estimate_task` - Add time estimates
+
+**Write Operation Flow:**
+```
+AI Request → Generate Diff Preview → Human Review → Approve/Reject → Commit/Discard
+```
+
+**2.2 MCP Client**
+
+**External System Connections:**
+- **GitHub**: PR status → Task updates, commit linking
+- **Slack**: Notifications, daily standups, AI summaries
+- **Calendar**: Sprint events, milestones, deadlines
+- **Future**: Jira import, Notion sync, Linear integration
+
+**Event-Driven Automation:**
+- PR merged → Auto-update task status to "Done"
+- Sprint started → Send team notifications
+- Risk detected → Alert stakeholders
+- Document changed → Notify subscribers
+
+**2.3 Security & Compliance**
+
+**Authentication:**
+- OAuth 2.0 for external integrations
+- API token management for AI agents
+- Session management and timeout policies
+
+**Authorization:**
+- Role-based access control (RBAC)
+- Field-level permissions
+- Operation whitelisting for AI agents
+- Read vs. Write permission separation
+
+**Audit:**
+- All operations logged with timestamp, user, and action
+- Diff storage for rollback capability
+- Compliance reporting (GDPR, SOC2)
+- Retention policies for audit logs
+
+#### 3. AI Collaboration Layer (M3 Priority)
+
+**3.1 Natural Language Interface**
+- Create tasks from conversational descriptions
+- Generate documentation from requirements
+- Parse meeting notes into action items
+- Query project status in plain language
+
+**3.2 AI-Powered Features**
+
+**Automated Generation:**
+- Task breakdowns from high-level descriptions
+- Acceptance criteria suggestions
+- Time estimates based on historical data
+- Risk assessments for delayed tasks
+- Daily standup summaries
+- Weekly progress reports
+
+**Intelligent Suggestions:**
+- Missing information detection (e.g., no acceptance criteria)
+- Priority recommendations based on deadlines
+- Resource allocation optimization
+- Sprint capacity planning
+
+**3.3 AI Control Console**
+
+**Features:**
+- Visual diff display for AI-proposed changes
+- Side-by-side comparison (current vs. proposed)
+- Batch approval for multiple changes
+- Rejection with feedback mechanism
+- AI operation history and statistics
+
+**User Experience:**
+- Clear indication of AI-generated content
+- Confidence scores for AI suggestions
+- Explanation of AI reasoning
+- Easy approve/reject/modify workflow
+
+**3.4 Prompt Template Library**
+
+**Template Categories:**
+- Requirements analysis templates
+- Acceptance criteria generation
+- Task estimation prompts
+- Risk identification frameworks
+- Report generation formats
+- Code review summaries
+
+**Customization:**
+- Organization-specific templates
+- Project-level overrides
+- Variable substitution
+- Version control for templates
+
+**3.5 Multi-Model Support**
+- Claude (Anthropic)
+- ChatGPT (OpenAI)
+- Gemini (Google)
+- Model switching per operation
+- Cost and performance tracking
+
+---
+
+### Non-Functional Requirements
+
+#### Performance
+- **Response Time**: API calls < 200ms (p95), < 500ms (p99)
+- **Throughput**: Support 1000+ concurrent users
+- **Scalability**: Horizontal scaling for stateless services
+- **Database**: Optimized queries, proper indexing, connection pooling
+
+#### Reliability
+- **Availability**: 99.9% uptime SLA
+- **Data Durability**: No data loss, automated backups
+- **Error Handling**: Graceful degradation, retry mechanisms
+- **Monitoring**: Real-time alerts, health checks
+
+#### Security
+- **Encryption**: HTTPS for transport, AES-256 for data at rest
+- **Authentication**: Multi-factor authentication (MFA) support
+- **Compliance**: GDPR, SOC2, ISO 27001 ready
+- **Private Deployment**: On-premise installation option
+
+#### Usability
+- **Intuitive UI**: Minimal learning curve, familiar patterns
+- **Accessibility**: WCAG 2.1 AA compliance
+- **Responsive Design**: Mobile, tablet, desktop support
+- **Documentation**: Comprehensive user guides, API docs, video tutorials
+
+#### Compatibility
+- **Browsers**: Chrome, Firefox, Safari, Edge (latest 2 versions)
+- **API**: RESTful, GraphQL, MCP protocol support
+- **Integrations**: OAuth 2.0, Webhooks, SSO (SAML, OIDC)
+
+---
+
+## User Stories & Acceptance Criteria
+
+### Epic 1: Core Project Management
+
+#### Story 1.1: As a PM, I want to create projects with hierarchical tasks
+**Acceptance Criteria:**
+- Can create Epic → Story → Task → Sub-task hierarchy
+- Each level has distinct attributes and behaviors
+- Can reorder and reorganize hierarchy via drag-and-drop
+- Changes are reflected immediately in all views
+
+#### Story 1.2: As a team member, I want to visualize work in multiple formats
+**Acceptance Criteria:**
+- Kanban board displays tasks by status columns
+- Gantt chart shows timeline with dependencies
+- Calendar view shows tasks by due date
+- Burndown chart tracks sprint progress
+- Can switch between views seamlessly
+
+#### Story 1.3: As a PM, I need audit trails for accountability
+**Acceptance Criteria:**
+- All changes are logged with user, timestamp, and changes
+- Can view complete history for any entity
+- Can rollback to previous state with one click
+- Audit log is searchable and filterable
+
+### Epic 2: MCP Server Integration
+
+#### Story 2.1: As an AI tool, I want to read project data via MCP
+**Acceptance Criteria:**
+- MCP server exposes documented resources
+- Can query projects, issues, documents, reports
+- Responses follow MCP protocol specification
+- Authentication is required and validated
+
+#### Story 2.2: As an AI tool, I want to propose changes via MCP
+**Acceptance Criteria:**
+- Can call tools to create/update tasks
+- System generates diff preview for all changes
+- Changes are not committed until human approval
+- Rejected changes are logged with reason
+
+#### Story 2.3: As a user, I want to review AI-proposed changes
+**Acceptance Criteria:**
+- AI console shows pending changes with diffs
+- Can approve, reject, or modify each change
+- Batch operations for multiple changes
+- Notifications for new AI proposals
+
+### Epic 3: AI Collaboration Features
+
+#### Story 3.1: As a PM, I want AI to generate task breakdowns
+**Acceptance Criteria:**
+- Can input high-level description in natural language
+- AI proposes Epic/Story/Task structure
+- Each task includes title, description, estimates
+- Can edit and approve before committing
+
+#### Story 3.2: As a team lead, I want automated standup reports
+**Acceptance Criteria:**
+- AI generates daily summary of team progress
+- Includes completed tasks, in-progress work, blockers
+- Posted to Slack or email automatically
+- Customizable format and schedule
+
+#### Story 3.3: As a developer, I want AI-suggested acceptance criteria
+**Acceptance Criteria:**
+- AI detects tasks without acceptance criteria
+- Proposes criteria based on task description
+- Can accept, reject, or modify suggestions
+- Learns from feedback over time
+
+---
+
+## Success Metrics
+
+### Primary KPIs
+
+| Metric | Baseline | Target | Timeline |
+|--------|----------|--------|----------|
+| Project creation time | Current process | ↓ 30% | M3 |
+| AI-automated task ratio | 0% | ≥ 50% | M4 |
+| Human approval rate | N/A | ≥ 90% | M3 |
+| Rollback rate | N/A | ≤ 5% | M3 |
+| User satisfaction score | N/A | ≥ 85% | M5 |
+
+### Secondary Metrics
+
+| Metric | Target | Purpose |
+|--------|--------|---------|
+| API response time | < 200ms (p95) | Performance |
+| System uptime | ≥ 99.9% | Reliability |
+| Integration success rate | ≥ 95% | Compatibility |
+| Daily active users | Track growth | Adoption |
+| AI operation cost | Monitor & optimize | Efficiency |
+
+### Business Metrics
+
+| Metric | Target | Timeline |
+|--------|--------|----------|
+| Internal team adoption | 100% | M5 |
+| External pilot users | 10 organizations | M5 |
+| MCP tool integrations | ≥ 5 tools | M6 |
+| Documentation completeness | 100% coverage | M6 |
+| Community contributions | Active GitHub repo | M6 |
+
+---
+
+## Technical Architecture
+
+### System Components
+
+```
+┌─────────────────────────────────────┐
+│         Presentation Layer          │
+│  - React Frontend (Kanban/Gantt)    │
+│  - AI Control Console               │
+│  - Mobile Responsive UI             │
+└──────────────┬──────────────────────┘
+               │ HTTPS/WebSocket
+┌──────────────┴──────────────────────┐
+│       Application Layer (NestJS)    │
+│  - REST API                         │
+│  - GraphQL API                      │
+│  - MCP Server                       │
+│  - MCP Client                       │
+│  - WebSocket Server                 │
+└──────────────┬──────────────────────┘
+               │
+┌──────────────┴──────────────────────┐
+│        Business Logic Layer         │
+│  - Project Management Service       │
+│  - Task Workflow Engine             │
+│  - AI Integration Service           │
+│  - Permission & Auth Service        │
+│  - Notification Service             │
+└──────────────┬──────────────────────┘
+               │
+┌──────────────┴──────────────────────┐
+│         Data Layer                  │
+│  - PostgreSQL (Primary DB)          │
+│  - pgvector (AI embeddings)         │
+│  - Redis (Cache & Sessions)         │
+│  - S3 (File storage)                │
+└─────────────────────────────────────┘
+```
+
+### Technology Stack
+
+**Frontend:**
+- Framework: React 18+ with TypeScript
+- State Management: Redux Toolkit / Zustand
+- UI Components: Ant Design / shadcn/ui
+- Charts: Recharts / Chart.js
+- Drag & Drop: react-beautiful-dnd
+
+**Backend:**
+- Framework: NestJS (Node.js + TypeScript)
+- API: REST + GraphQL (Apollo)
+- MCP: Official MCP SDK
+- Authentication: Passport.js + JWT
+- Validation: class-validator
+
+**Database:**
+- Primary: PostgreSQL 15+
+- ORM: Prisma / TypeORM
+- Vector: pgvector extension
+- Cache: Redis 7+
+- Search: PostgreSQL Full-Text Search
+
+**AI Integration:**
+- Anthropic Claude API
+- OpenAI API
+- LangChain for orchestration
+- Custom prompt templates
+
+**Infrastructure:**
+- Hosting: AWS / Azure / GCP
+- Containerization: Docker + Kubernetes
+- CI/CD: GitHub Actions
+- Monitoring: Prometheus + Grafana
+- Logging: ELK Stack
+
+---
+
+## Constraints & Dependencies
+
+### Technical Constraints
+- Must support MCP protocol specification v1.0+
+- PostgreSQL minimum version 14 (for pgvector)
+- Node.js 18+ required
+- Browser compatibility: Latest 2 versions of major browsers
+
+### Business Constraints
+- M1-M6 timeline: 10-12 months total
+- Initial team size: 6-8 people (PM, Architect, 2 Backend, 1 Frontend, 1 AI Engineer, 1 QA)
+- Budget: TBD based on cloud costs and AI API usage
+- Private deployment option required for enterprise
+
+### External Dependencies
+- MCP protocol stability and adoption
+- AI model API availability and pricing
+- Third-party integration APIs (GitHub, Slack, etc.)
+- Cloud provider service levels
+
+### Risks & Mitigation
+See separate Risk Assessment Report for detailed analysis.
+
+---
+
+## Competitive Analysis
+
+### Comparison with Existing Solutions
+
+| Feature | ColaFlow | Jira | Linear | Asana | GitHub Projects |
+|---------|----------|------|--------|-------|-----------------|
+| AI Integration | ⭐⭐⭐⭐⭐ | ⭐ | ⭐⭐ | ⭐⭐ | ⭐ |
+| MCP Protocol | ⭐⭐⭐⭐⭐ | - | - | - | - |
+| Agile Workflows | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ |
+| Ease of Use | ⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ |
+| Customization | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ |
+| Pricing | TBD | ⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
+
+### Unique Differentiators
+1. **MCP-Native**: First project management tool built on MCP protocol
+2. **AI-First**: AI as a team member, not just a feature
+3. **Human-in-Loop**: Secure AI operations with mandatory review
+4. **Open Platform**: Extensible through MCP ecosystem
+5. **Developer-Friendly**: API-first design, comprehensive SDK
+
+---
+
+## Future Roadmap (Post-M6)
+
+### Phase 2 Enhancements
+- Multi-AI agent collaboration (PM Agent, Dev Agent, QA Agent)
+- IDE integration (VS Code, JetBrains)
+- Mobile native apps (iOS, Android)
+- Advanced analytics and predictive insights
+
+### Phase 3 Ecosystem
+- ColaFlow SDK for custom integrations
+- Prompt Marketplace for community templates
+- Plugin architecture for third-party extensions
+- White-label solution for enterprise
+
+### Phase 4 Scale
+- Multi-tenant SaaS platform
+- Enterprise feature set (SSO, LDAP, audit compliance)
+- Global CDN for performance
+- Regional data centers for compliance
+
+---
+
+## Appendices
+
+### Glossary
+- **MCP**: Model Context Protocol - open protocol for AI tool integration
+- **Epic**: Large feature or initiative spanning multiple sprints
+- **Story**: User-facing feature or requirement
+- **Task**: Specific work item with clear deliverable
+- **Sprint**: Time-boxed iteration (typically 2 weeks)
+- **Diff Preview**: Visual comparison of current vs. proposed state
+
+### References
+- MCP Protocol Specification: https://modelcontextprotocol.io
+- Project Vision Document: product.md
+- Architecture Design: (To be created in M1)
+- API Documentation: (To be created in M2)
+
+### Revision History
+| Version | Date | Author | Changes |
+|---------|------|--------|---------|
+| 1.0 | 2025-11-02 | ColaFlow PM Team | Initial PRD creation |
+
+---
+
+**Document Status:** Draft - Pending stakeholder review and approval
+
+**Next Steps:**
+1. Review with technical team for feasibility
+2. Validate timeline and resource allocation
+3. Finalize M1 sprint plan
+4. Begin detailed technical design
+