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Yaojia Wang 014d62bcc2 Project Init

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ColaFlow Feature Breakdown Document

Version: 1.0 Date: 2025-11-02 Purpose: Detailed breakdown of features into Epics, Stories, and Tasks Status: Draft

Document Structure

This document breaks down ColaFlow features across the 6 milestones (M1-M6) into:

Epics: Large features or initiatives
Stories: User-facing capabilities
Tasks: Specific implementation work items
Acceptance Criteria: Definition of done for each story

M1: Core Project Management Module (Months 1-2)

Epic 1.1: Project Hierarchy & Structure

Description: Implement the foundational data model and UI for managing projects, epics, stories, and tasks.

Business Value: Essential foundation for all project management capabilities.

Estimated Effort: 3 weeks

Story 1.1.1: Create Project Entity Model

As a PM I want to create and manage projects So that I can organize work into logical containers

Acceptance Criteria:

✅ Can create project with name, key, description, owner
✅ Project key is unique and auto-generated (e.g., COLA-123)
✅ Can set project status (Active, On Hold, Completed, Archived)
✅ Can add team members with roles (Admin, Member, Viewer)
✅ Project metadata includes created/updated timestamps and creator

Tasks:

T1.1.1.1: Design PostgreSQL schema for projects table
T1.1.1.2: Create Prisma models and migrations
T1.1.1.3: Implement ProjectService with CRUD operations
T1.1.1.4: Build REST API endpoints (POST /projects, GET /projects/:id, etc.)
T1.1.1.5: Add input validation and error handling
T1.1.1.6: Write unit tests for ProjectService
T1.1.1.7: Write integration tests for API endpoints

Dependencies: None (foundational)

Estimated Effort: 5 days

Story 1.1.2: Create Epic/Story/Task Hierarchy

As a PM I want to create epics, stories, and tasks in a hierarchy So that I can break down large features into manageable work items

Acceptance Criteria:

✅ Can create Epic with title, description, project association
✅ Can create Story under an Epic
✅ Can create Task under a Story
✅ Can create Sub-task under a Task
✅ Hierarchy is enforced (e.g., can't create Task directly under Epic)
✅ Each level has appropriate attributes (priority, status, assignee, etc.)
✅ Can move items between parent containers (with validation)

Tasks:

T1.1.2.1: Design issues table schema with polymorphic type field
T1.1.2.2: Create IssueService with hierarchy validation logic
T1.1.2.3: Implement parent-child relationship constraints
T1.1.2.4: Build API endpoints for issue CRUD operations
T1.1.2.5: Add hierarchy depth validation (max 4 levels)
T1.1.2.6: Implement move/reorder functionality
T1.1.2.7: Write comprehensive tests for hierarchy rules
T1.1.2.8: Add database indexes for performance

Dependencies: Story 1.1.1

Estimated Effort: 8 days

Story 1.1.3: Custom Fields Support

As a PM I want to add custom fields to issues So that I can capture project-specific information

Acceptance Criteria:

✅ Can define custom fields at project level
✅ Supported field types: text, number, date, select, multi-select, user
✅ Can set field as required or optional
✅ Can provide default values
✅ Custom field values are validated based on type
✅ Can search/filter issues by custom field values

Tasks:

T1.1.3.1: Design custom_fields schema (JSONB column)
T1.1.3.2: Create CustomFieldService for field definition management
T1.1.3.3: Implement field validation logic per type
T1.1.3.4: Build API endpoints for custom field CRUD
T1.1.3.5: Add custom field values to issue API responses
T1.1.3.6: Implement search/filter by custom fields
T1.1.3.7: Write tests for all field types and validations

Dependencies: Story 1.1.2

Estimated Effort: 5 days

Epic 1.2: Workflow & Status Management

Description: Implement customizable workflows and status transitions for issues.

Business Value: Enables teams to define their own processes and track work progress.

Estimated Effort: 2 weeks

Story 1.2.1: Default Workflow Implementation

As a team member I want to move issues through workflow states So that I can track work progress

Acceptance Criteria:

✅ Default statuses: To Do, In Progress, Review, Done
✅ Can transition issues between allowed states
✅ Status history is tracked with timestamps
✅ Cannot skip required workflow steps
✅ Can view issue status history

Tasks:

T1.2.1.1: Design workflow schema (statuses, transitions)
T1.2.1.2: Create WorkflowService with transition validation
T1.2.1.3: Implement status change API endpoint
T1.2.1.4: Add status history tracking to audit log
T1.2.1.5: Build status transition validation rules
T1.2.1.6: Write tests for all workflow scenarios

Dependencies: Story 1.1.2

Estimated Effort: 4 days

Story 1.2.2: Custom Workflow Configuration

As a PM I want to configure custom workflows per project So that I can match our team's process

Acceptance Criteria:

✅ Can add/remove statuses for a project
✅ Can define allowed transitions between statuses
✅ Can set status categories (To Do, In Progress, Done)
✅ Can assign colors to statuses
✅ Changes don't break existing issues
✅ Can preview workflow as a diagram

Tasks:

T1.2.2.1: Design workflow configuration schema
T1.2.2.2: Create WorkflowConfigService
T1.2.2.3: Implement workflow builder API
T1.2.2.4: Add validation for workflow integrity
T1.2.2.5: Handle migration of existing issues to new workflow
T1.2.2.6: Create workflow visualization data format
T1.2.2.7: Write tests for workflow configuration changes

Dependencies: Story 1.2.1

Estimated Effort: 6 days

Epic 1.3: Kanban Board View

Description: Build interactive Kanban board for visualizing and managing work.

Business Value: Primary interface for agile teams to manage daily work.

Estimated Effort: 2 weeks

Story 1.3.1: Basic Kanban Board Display

As a team member I want to view issues on a Kanban board So that I can see work status at a glance

Acceptance Criteria:

✅ Board displays columns for each workflow status
✅ Issues are shown as cards in appropriate columns
✅ Cards show: title, key, assignee avatar, priority, labels
✅ Can filter board by assignee, label, epic
✅ Can search issues on board
✅ Board loads within 2 seconds for projects with 500+ issues

Tasks:

T1.3.1.1: Design React component structure for board
T1.3.1.2: Implement board data fetching with pagination
T1.3.1.3: Build column component with issue list
T1.3.1.4: Create issue card component
T1.3.1.5: Implement filtering and search UI
T1.3.1.6: Add loading states and error handling
T1.3.1.7: Optimize rendering performance
T1.3.1.8: Write component tests

Dependencies: Story 1.2.1, Backend API

Estimated Effort: 5 days

Story 1.3.2: Drag-and-Drop Functionality

As a team member I want to drag issues between columns So that I can quickly update status

Acceptance Criteria:

✅ Can drag issue cards between columns
✅ Status updates immediately on drop
✅ Invalid transitions are prevented with visual feedback
✅ Drag preview shows card snapshot
✅ Works on touch devices (tablets)
✅ Optimistic UI updates with rollback on error

Tasks:

T1.3.2.1: Integrate react-beautiful-dnd library
T1.3.2.2: Implement drag handlers and drop zones
T1.3.2.3: Add transition validation before API call
T1.3.2.4: Implement optimistic updates
T1.3.2.5: Add error handling and rollback
T1.3.2.6: Style drag preview and drop indicators
T1.3.2.7: Test on mobile/tablet devices
T1.3.2.8: Write interaction tests

Dependencies: Story 1.3.1

Estimated Effort: 5 days

Epic 1.4: Audit Log & Version History

Description: Track all changes to issues and enable rollback capability.

Business Value: Accountability, debugging, compliance, and data recovery.

Estimated Effort: 1.5 weeks

Story 1.4.1: Comprehensive Change Tracking

As a PM I want to see complete history of all changes So that I can understand what happened and when

Acceptance Criteria:

✅ All entity changes are logged (create, update, delete)
✅ Log includes: timestamp, user, action type, before/after values
✅ Field-level change tracking (not just full entity snapshots)
✅ Can view change history for any issue
✅ Can filter history by user, date range, field
✅ System changes (automation) are distinguished from user changes

Tasks:

T1.4.1.1: Design audit_log table schema
T1.4.1.2: Create AuditService with logging methods
T1.4.1.3: Implement database triggers or service layer logging
T1.4.1.4: Store before/after diffs efficiently (JSONB)
T1.4.1.5: Build audit log query API with filters
T1.4.1.6: Add audit log to issue detail API response
T1.4.1.7: Implement log retention policies
T1.4.1.8: Write tests for audit capture

Dependencies: Story 1.1.2

Estimated Effort: 5 days

Story 1.4.2: Rollback Capability

As a PM I want to revert issues to previous state So that I can undo mistakes or unwanted changes

Acceptance Criteria:

✅ Can preview issue state at any point in history
✅ Can rollback to previous state with one click
✅ Rollback operation itself is logged
✅ Cannot rollback if it would create conflicts
✅ User receives confirmation before rollback
✅ Rollback includes all fields changed since target version

Tasks:

T1.4.2.1: Design rollback transaction mechanism
T1.4.2.2: Create RollbackService with conflict detection
T1.4.2.3: Implement rollback API endpoint
T1.4.2.4: Add validation for rollback eligibility
T1.4.2.5: Build rollback UI with preview
T1.4.2.6: Log rollback operations in audit trail
T1.4.2.7: Write tests for rollback scenarios
T1.4.2.8: Document rollback limitations

Dependencies: Story 1.4.1

Estimated Effort: 3 days

M1 Summary

Total Epics: 4 Total Stories: 10 Total Tasks: 62 Estimated Duration: 8 weeks (2 months) Team Size: 2 Backend, 1 Frontend, 1 QA

M2: MCP Server Implementation (Months 3-4)

Epic 2.1: MCP Protocol Foundation

Description: Implement MCP server infrastructure and basic connectivity.

Business Value: Enables AI tools to connect to ColaFlow.

Estimated Effort: 3 weeks

Story 2.1.1: MCP Server Setup & Configuration

As a developer I want to set up MCP server infrastructure So that AI tools can connect via MCP protocol

Acceptance Criteria:

✅ MCP server runs as separate service/module
✅ Supports MCP protocol specification v1.0+
✅ Handles client connections and handshake
✅ Configuration via environment variables
✅ Health check endpoint for monitoring
✅ Proper error handling and logging

Tasks:

T2.1.1.1: Install MCP SDK dependencies
T2.1.1.2: Create MCPServerModule in NestJS
T2.1.1.3: Implement connection handler
T2.1.1.4: Add configuration service for MCP settings
T2.1.1.5: Implement health check and status endpoints
T2.1.1.6: Add comprehensive logging
T2.1.1.7: Write connection tests
T2.1.1.8: Document MCP server setup

Dependencies: M1 completion

Estimated Effort: 4 days

Story 2.1.2: Authentication & Authorization for MCP

As a system administrator I want to secure MCP connections So that only authorized AI agents can access data

Acceptance Criteria:

✅ MCP clients must authenticate with API token
✅ Tokens can be generated and revoked via admin UI
✅ Each token has configurable permissions (read/write)
✅ Token usage is logged for audit
✅ Rate limiting per token
✅ Expired tokens are rejected

Tasks:

T2.1.2.1: Design API token schema and storage
T2.1.2.2: Create TokenService for token management
T2.1.2.3: Implement MCP authentication middleware
T2.1.2.4: Build token CRUD API endpoints
T2.1.2.5: Add rate limiting with Redis
T2.1.2.6: Implement token expiration checking
T2.1.2.7: Build admin UI for token management
T2.1.2.8: Write security tests

Dependencies: Story 2.1.1

Estimated Effort: 5 days

Epic 2.2: MCP Resources Implementation

Description: Expose project data as MCP resources for AI to read.

Business Value: AI tools can query ColaFlow data.

Estimated Effort: 2 weeks

Story 2.2.1: Implement projects.search Resource

As an AI agent I want to search for projects So that I can find relevant project information

Acceptance Criteria:

✅ Resource URI: colaflow://projects.search
✅ Supports filters: name, key, status, owner
✅ Returns project summary with metadata
✅ Paginated results (max 50 per page)
✅ Respects user permissions
✅ Response follows MCP resource format

Tasks:

T2.2.1.1: Define MCP resource schema for projects
T2.2.1.2: Implement ResourceProvider for projects
T2.2.1.3: Add search and filter logic
T2.2.1.4: Implement pagination
T2.2.1.5: Add permission checks
T2.2.1.6: Write resource tests
T2.2.1.7: Document resource in MCP catalog

Dependencies: Story 2.1.2

Estimated Effort: 3 days

Story 2.2.2: Implement issues.search Resource

As an AI agent I want to search for issues So that I can analyze tasks and provide insights

Acceptance Criteria:

✅ Resource URI: colaflow://issues.search
✅ Supports filters: project, status, assignee, label, epic
✅ Supports JQL-like query syntax
✅ Returns issue details with all fields
✅ Includes related entities (parent, children)
✅ Paginated with cursor-based pagination

Tasks:

T2.2.2.1: Define MCP resource schema for issues
T2.2.2.2: Implement ResourceProvider for issues
T2.2.2.3: Build query parser for search syntax
T2.2.2.4: Add complex filtering logic
T2.2.2.5: Implement cursor-based pagination
T2.2.2.6: Add related entity resolution
T2.2.2.7: Write comprehensive query tests
T2.2.2.8: Document query syntax

Dependencies: Story 2.2.1

Estimated Effort: 5 days

Story 2.2.3: Implement Additional Resources

As an AI agent I want to access various project artifacts So that I can provide comprehensive assistance

Resources to Implement:

docs.create_draft - Document templates and drafts
reports.daily - Daily progress summaries
sprints.current - Current sprint information
backlogs.view - Product backlog access

Acceptance Criteria:

✅ Each resource has documented schema
✅ Proper error handling for not found
✅ Performance optimized (< 200ms response)
✅ Permission-based access control

Tasks:

T2.2.3.1: Implement docs.create_draft resource
T2.2.3.2: Implement reports.daily resource
T2.2.3.3: Implement sprints.current resource
T2.2.3.4: Implement backlogs.view resource
T2.2.3.5: Add caching for frequently accessed resources
T2.2.3.6: Write tests for all resources
T2.2.3.7: Document all resources

Dependencies: Story 2.2.2

Estimated Effort: 4 days

Epic 2.3: MCP Tools Implementation

Description: Expose write operations as MCP tools with diff preview.

Business Value: AI can propose changes that humans review.

Estimated Effort: 3 weeks

Story 2.3.1: Implement Diff Preview System

As a user I want to preview AI-proposed changes before they're applied So that I can maintain control over my data

Acceptance Criteria:

✅ AI tool calls generate diff preview instead of direct writes
✅ Diff shows current vs. proposed state side-by-side
✅ Diffs are stored temporarily with unique ID
✅ Diffs expire after configurable timeout (default 24h)
✅ Can retrieve diff for review
✅ Can approve or reject diff

Tasks:

T2.3.1.1: Design diff storage schema (Redis + PostgreSQL)
T2.3.1.2: Create DiffService for diff generation
T2.3.1.3: Implement diff generation algorithms
T2.3.1.4: Build diff storage with expiration
T2.3.1.5: Create approval/rejection API endpoints
T2.3.1.6: Implement diff application logic
T2.3.1.7: Add notification for new diffs
T2.3.1.8: Write diff generation tests

Dependencies: Story 2.2.3

Estimated Effort: 6 days

Story 2.3.2: Implement create_issue Tool

As an AI agent I want to propose creating new issues So that I can help with task breakdown

Acceptance Criteria:

✅ Tool accepts: project, type, title, description, parent, assignee
✅ Validates all required fields
✅ Generates diff preview showing new issue
✅ Returns diff ID for human review
✅ Approved diff creates actual issue
✅ Creation is logged in audit trail

Tasks:

T2.3.2.1: Define MCP tool schema for create_issue
T2.3.2.2: Implement ToolProvider for create_issue
T2.3.2.3: Add input validation logic
T2.3.2.4: Integrate with DiffService
T2.3.2.5: Implement issue creation on approval
T2.3.2.6: Add audit logging
T2.3.2.7: Write tool tests
T2.3.2.8: Document tool usage

Dependencies: Story 2.3.1

Estimated Effort: 4 days

Story 2.3.3: Implement update_status Tool

As an AI agent I want to propose status changes So that I can help keep tasks up to date

Acceptance Criteria:

✅ Tool accepts: issue_id, new_status, comment
✅ Validates status transition is allowed
✅ Generates diff preview showing status change
✅ Includes comment in diff if provided
✅ Approved diff updates issue status
✅ Triggers workflow automation on status change

Tasks:

T2.3.3.1: Define MCP tool schema for update_status
T2.3.3.2: Implement ToolProvider for update_status
T2.3.3.3: Add workflow transition validation
T2.3.3.4: Integrate with DiffService
T2.3.3.5: Implement status update on approval
T2.3.3.6: Trigger workflow hooks
T2.3.3.7: Write tool tests
T2.3.3.8: Document tool usage

Dependencies: Story 2.3.2

Estimated Effort: 3 days

Story 2.3.4: Implement Additional Tools

As an AI agent I want to perform various operations So that I can assist with project management

Tools to Implement:

assign_task - Assign issues to users
log_decision - Record key decisions
generate_report - Create progress reports
estimate_task - Add time estimates

Acceptance Criteria:

✅ Each tool has clear input schema
✅ All tools use diff preview mechanism
✅ Proper error messages for invalid inputs
✅ Tools are discoverable via MCP protocol

Tasks:

T2.3.4.1: Implement assign_task tool
T2.3.4.2: Implement log_decision tool
T2.3.4.3: Implement generate_report tool
T2.3.4.4: Implement estimate_task tool
T2.3.4.5: Add tool discovery metadata
T2.3.4.6: Write tests for all tools
T2.3.4.7: Document all tools

Dependencies: Story 2.3.3

Estimated Effort: 5 days

Epic 2.4: AI Control Console UI

Description: Build user interface for reviewing and approving AI changes.

Business Value: Human oversight of AI operations.

Estimated Effort: 2 weeks

Story 2.4.1: Diff Review Interface

As a user I want to review AI-proposed changes in a clear interface So that I can quickly approve or reject them

Acceptance Criteria:

✅ List view shows all pending diffs
✅ Each diff shows: AI agent, timestamp, operation type, status
✅ Detail view shows side-by-side comparison
✅ Highlighting for added/removed/changed fields
✅ Can approve or reject with optional comment
✅ Batch approve/reject multiple diffs
✅ Real-time updates when new diffs arrive

Tasks:

T2.4.1.1: Design AI console page layout
T2.4.1.2: Build diff list component
T2.4.1.3: Create diff detail component with comparison view
T2.4.1.4: Implement syntax highlighting for diffs
T2.4.1.5: Add approve/reject buttons with confirmation
T2.4.1.6: Implement batch operations UI
T2.4.1.7: Add WebSocket for real-time updates
T2.4.1.8: Write component tests

Dependencies: Story 2.3.1

Estimated Effort: 6 days

Story 2.4.2: AI Activity Dashboard

As a PM I want to monitor AI agent activity and statistics So that I can understand AI usage patterns

Acceptance Criteria:

✅ Dashboard shows: total operations, approval rate, rejection rate
✅ Charts for operations over time
✅ Breakdown by operation type
✅ List of most active AI agents
✅ Average review time metrics
✅ Can filter by date range and agent

Tasks:

T2.4.2.1: Design dashboard layout
T2.4.2.2: Create analytics API endpoints
T2.4.2.3: Build metrics calculation service
T2.4.2.4: Implement chart components
T2.4.2.5: Add filtering and date range selectors
T2.4.2.6: Cache dashboard data for performance
T2.4.2.7: Write dashboard tests

Dependencies: Story 2.4.1

Estimated Effort: 4 days

M2 Summary

Total Epics: 4 Total Stories: 11 Total Tasks: 72 Estimated Duration: 8 weeks (2 months) Team Size: 2 Backend, 1 Frontend, 1 AI Engineer, 1 QA

M3: ChatGPT Integration PoC (Months 5-6)

Epic 3.1: AI Task Generation

Description: Enable AI to break down high-level descriptions into structured tasks.

Business Value: Dramatically reduce time spent on task breakdown.

Estimated Effort: 2 weeks

Story 3.1.1: Natural Language Task Creation

As a PM I want to describe a feature in natural language So that AI can generate a structured task breakdown

Acceptance Criteria:

✅ Can input free-form text description
✅ AI analyzes and proposes Epic/Story/Task hierarchy
✅ Each generated task has: title, description, acceptance criteria
✅ Can preview full structure before creation
✅ Can edit individual tasks in preview
✅ Approval creates all tasks with proper hierarchy

Tasks:

T3.1.1.1: Design task generation prompt template
T3.1.1.2: Create TaskGenerationService
T3.1.1.3: Implement OpenAI API integration
T3.1.1.4: Parse AI response into structured format
T3.1.1.5: Build task generation UI component
T3.1.1.6: Add preview and edit functionality
T3.1.1.7: Integrate with diff preview system
T3.1.1.8: Write generation tests

Dependencies: M2 Epic 2.3 (MCP Tools)

Estimated Effort: 6 days

Story 3.1.2: Automatic Acceptance Criteria Generation

As a PM I want to AI to suggest acceptance criteria for tasks So that I can ensure all tasks have clear definitions of done

Acceptance Criteria:

✅ AI detects tasks without acceptance criteria
✅ Proposes 3-5 relevant acceptance criteria per task
✅ Criteria are specific, measurable, and testable
✅ Can accept all, accept some, or reject suggestions
✅ Can edit suggestions before accepting
✅ Learns from accepted/rejected suggestions over time

Tasks:

T3.1.2.1: Design AC generation prompt template
T3.1.2.2: Create ACGenerationService
T3.1.2.3: Implement detection of missing ACs
T3.1.2.4: Build batch AC generation for multiple tasks
T3.1.2.5: Create AC suggestion UI
T3.1.2.6: Implement feedback collection
T3.1.2.7: Add learning mechanism (fine-tuning or RAG)
T3.1.2.8: Write AC generation tests

Dependencies: Story 3.1.1

Estimated Effort: 4 days

Epic 3.2: Automated Reporting

Description: Generate daily standups, weekly reports, and risk assessments.

Business Value: Save time on status reporting and improve visibility.

Estimated Effort: 2 weeks

Story 3.2.1: Daily Standup Report Generation

As a team lead I want to automatically generate daily standup summaries So that I can quickly share progress with the team

Acceptance Criteria:

✅ Report includes: completed tasks, in-progress tasks, blockers
✅ Grouped by team member
✅ Includes key metrics: velocity, completion rate
✅ Can schedule automatic generation and delivery
✅ Can customize report format and content
✅ Can export to Slack, email, or PDF

Tasks:

T3.2.1.1: Design daily report data aggregation query
T3.2.1.2: Create ReportGenerationService
T3.2.1.3: Implement daily report template
T3.2.1.4: Build report scheduling system
T3.2.1.5: Add Slack integration
T3.2.1.6: Add email delivery
T3.2.1.7: Build report UI and customization
T3.2.1.8: Write report generation tests

Dependencies: M2 Epic 2.2 (MCP Resources)

Estimated Effort: 5 days

Story 3.2.2: AI-Generated Risk Reports

As a PM I want to AI to identify project risks So that I can proactively address issues

Acceptance Criteria:

✅ AI analyzes: overdue tasks, blocked items, resource bottlenecks
✅ Generates risk report with severity levels
✅ Includes suggested mitigation actions
✅ Can trigger alerts for high-severity risks
✅ Historical risk tracking over time
✅ Can customize risk detection rules

Tasks:

T3.2.2.1: Define risk detection algorithms
T3.2.2.2: Create RiskAnalysisService
T3.2.2.3: Implement AI-powered risk assessment
T3.2.2.4: Build risk report template
T3.2.2.5: Add alerting system
T3.2.2.6: Create risk dashboard UI
T3.2.2.7: Implement risk tracking over time
T3.2.2.8: Write risk analysis tests

Dependencies: Story 3.2.1

Estimated Effort: 5 days

Epic 3.3: ChatGPT Custom GPT Integration

Description: Create ColaFlow GPT with MCP connection.

Business Value: Seamless ChatGPT → ColaFlow workflow.

Estimated Effort: 2 weeks

Story 3.3.1: ColaFlow GPT Configuration

As a user I want to interact with ColaFlow via ChatGPT So that I can manage projects conversationally

Acceptance Criteria:

✅ Custom GPT is configured with ColaFlow MCP connection
✅ GPT can read project data via MCP resources
✅ GPT can propose changes via MCP tools
✅ All operations go through human approval flow
✅ GPT provides helpful prompts and guidance
✅ Documentation for GPT setup and usage

Tasks:

T3.3.1.1: Create Custom GPT in OpenAI platform
T3.3.1.2: Configure MCP connection settings
T3.3.1.3: Write GPT system instructions
T3.3.1.4: Test all MCP resources from GPT
T3.3.1.5: Test all MCP tools from GPT
T3.3.1.6: Create user documentation
T3.3.1.7: Create video tutorial
T3.3.1.8: Conduct user testing

Dependencies: M2 completion

Estimated Effort: 4 days

Story 3.3.2: Conversational Project Management

As a user I want to perform common project tasks via chat So that I can work more naturally

Example Commands:

"Create a new project called ColaFlow v2"
"Show me all high-priority bugs"
"Generate a weekly progress report"
"What tasks are blocked?"
"Assign COLA-123 to Alice"

Acceptance Criteria:

✅ GPT correctly interprets natural language commands
✅ Provides clear confirmation and feedback
✅ Handles ambiguity by asking clarifying questions
✅ Suggests relevant actions based on context
✅ Maintains conversation context
✅ Respects user permissions

Tasks:

T3.3.2.1: Design conversation flows for common tasks
T3.3.2.2: Create prompt templates for each flow
T3.3.2.3: Implement context management
T3.3.2.4: Add clarification question logic
T3.3.2.5: Test conversation quality
T3.3.2.6: Create example conversation library
T3.3.2.7: Document conversation capabilities
T3.3.2.8: Conduct user acceptance testing

Dependencies: Story 3.3.1

Estimated Effort: 6 days

M3 Summary

Total Epics: 3 Total Stories: 7 Total Tasks: 47 Estimated Duration: 8 weeks (2 months) Team Size: 1 Backend, 1 Frontend, 1 AI Engineer, 1 QA

M4: External System Integration (Months 7-8)

Epic 4.1: GitHub Integration

Description: Bi-directional sync between GitHub and ColaFlow.

Business Value: Unified development workflow.

Estimated Effort: 3 weeks

Story 4.1.1: GitHub OAuth & Repository Connection

As a developer I want to connect my GitHub repositories to ColaFlow So that PRs and commits can sync with tasks

Acceptance Criteria:

✅ Can authenticate via GitHub OAuth
✅ Can select repositories to connect
✅ Can map repositories to projects
✅ Connection status is visible
✅ Can disconnect repositories
✅ Supports GitHub Enterprise

Tasks:

T4.1.1.1: Implement GitHub OAuth flow
T4.1.1.2: Create GitHub integration service
T4.1.1.3: Build repository selection UI
T4.1.1.4: Store connection configuration
T4.1.1.5: Add connection health monitoring
T4.1.1.6: Implement disconnect logic
T4.1.1.7: Write integration tests

Dependencies: M3 completion

Estimated Effort: 5 days

Story 4.1.2: PR → Task Linking

As a developer I want to link PRs to tasks automatically So that code changes are tracked with tasks

Acceptance Criteria:

✅ PR references (e.g., COLA-123) auto-link to tasks
✅ PR status shown on task detail page
✅ PR merge auto-updates task status (configurable)
✅ Multiple PRs can link to one task
✅ PR comments sync to task activity
✅ Can manually link/unlink PRs

Tasks:

T4.1.2.1: Implement GitHub webhook handler
T4.1.2.2: Parse PR descriptions for task references
T4.1.2.3: Create PR-task linking logic
T4.1.2.4: Add PR status to task API
T4.1.2.5: Implement auto-status update rules
T4.1.2.6: Build PR display in task UI
T4.1.2.7: Add manual linking controls
T4.1.2.8: Write webhook tests

Dependencies: Story 4.1.1

Estimated Effort: 6 days

Story 4.1.3: Branch & Commit Tracking

As a PM I want to see development activity on tasks So that I can track code progress

Acceptance Criteria:

✅ Task detail shows linked branches
✅ Task detail shows related commits
✅ Commit messages with task keys auto-link
✅ Can view commit diffs inline
✅ Shows commit author and timestamp
✅ Aggregates commit count per task

Tasks:

T4.1.3.1: Implement commit webhook handler
T4.1.3.2: Parse commit messages for task references
T4.1.3.3: Store commit metadata
T4.1.3.4: Build commit timeline UI
T4.1.3.5: Add branch display
T4.1.3.6: Implement diff viewer
T4.1.3.7: Add commit statistics
T4.1.3.8: Write commit tracking tests

Dependencies: Story 4.1.2

Estimated Effort: 4 days

Epic 4.2: Slack Integration

Description: Notifications, commands, and summaries via Slack.

Business Value: Team communication hub integration.

Estimated Effort: 2 weeks

Story 4.2.1: Slack App & Bot Setup

As a team I want to connect ColaFlow to Slack workspace So that we receive notifications and updates

Acceptance Criteria:

✅ Can install ColaFlow Slack app
✅ OAuth authentication flow works
✅ Bot joins designated channels
✅ Can configure notification preferences
✅ Can uninstall app cleanly
✅ Supports Slack Enterprise Grid

Tasks:

T4.2.1.1: Create Slack app in Slack API console
T4.2.1.2: Implement Slack OAuth flow
T4.2.1.3: Create SlackService for API calls
T4.2.1.4: Build app installation UI
T4.2.1.5: Implement bot join/leave logic
T4.2.1.6: Add configuration settings
T4.2.1.7: Write Slack integration tests

Dependencies: M3 completion

Estimated Effort: 4 days

Story 4.2.2: Task Notifications in Slack

As a team member I want to receive task updates in Slack So that I stay informed without checking ColaFlow constantly

Acceptance Criteria:

✅ Notifications for: task assigned, status changed, mentioned
✅ Can configure notification types per channel
✅ Rich formatting with task details
✅ Includes link to task in ColaFlow
✅ Can snooze or dismiss notifications
✅ Respects user's notification preferences

Tasks:

T4.2.2.1: Design notification event system
T4.2.2.2: Create NotificationService
T4.2.2.3: Implement Slack message formatting
T4.2.2.4: Build notification preferences UI
T4.2.2.5: Add notification triggers to task operations
T4.2.2.6: Implement rate limiting for notifications
T4.2.2.7: Write notification tests

Dependencies: Story 4.2.1

Estimated Effort: 5 days

Story 4.2.3: Slash Commands in Slack

As a user I want to perform quick actions via Slack commands So that I can update tasks without leaving Slack

Example Commands:

/colaflow task COLA-123 - View task details
/colaflow assign COLA-123 @alice - Assign task
/colaflow status COLA-123 done - Update status
/colaflow create "Fix login bug" - Quick task creation

Acceptance Criteria:

✅ Slash commands are registered in Slack
✅ Commands provide inline feedback
✅ Error messages are clear and helpful
✅ Supports autocomplete where applicable
✅ Respects user permissions
✅ Usage is logged for audit

Tasks:

T4.2.3.1: Register slash commands in Slack app
T4.2.3.2: Implement command parser
T4.2.3.3: Create command handler for each action
T4.2.3.4: Build response formatting
T4.2.3.5: Add permission checking
T4.2.3.6: Implement autocomplete
T4.2.3.7: Write command tests

Dependencies: Story 4.2.2

Estimated Effort: 5 days

Epic 4.3: Calendar Integration

Description: Sync sprints, milestones, and deadlines with calendars.

Business Value: Unified scheduling and timeline visibility.

Estimated Effort: 1 week

Story 4.3.1: Google Calendar Integration

As a PM I want to sync ColaFlow events to Google Calendar So that deadlines and sprints appear in my calendar

Acceptance Criteria:

✅ Can authenticate with Google Calendar
✅ Sprint start/end dates sync to calendar
✅ Milestone dates create calendar events
✅ Task due dates can optionally sync
✅ Two-way sync: changes in either system reflect
✅ Can configure which events to sync

Tasks:

T4.3.1.1: Implement Google Calendar OAuth
T4.3.1.2: Create CalendarService
T4.3.1.3: Implement event sync logic
T4.3.1.4: Handle two-way sync conflicts
T4.3.1.5: Build sync configuration UI
T4.3.1.6: Add sync status monitoring
T4.3.1.7: Write calendar integration tests

Dependencies: M3 completion

Estimated Effort: 5 days

M4 Summary

Total Epics: 3 Total Stories: 7 Total Tasks: 46 Estimated Duration: 8 weeks (2 months) Team Size: 2 Backend, 1 Frontend, 1 QA

M5: Enterprise Pilot (Month 9)

Epic 5.1: Enterprise Features

Description: SSO, LDAP, advanced permissions, compliance.

Business Value: Enterprise readiness for pilot deployment.

Estimated Effort: 3 weeks

Story 5.1.1: Single Sign-On (SSO) Support

As an enterprise admin I want to configure SSO authentication So that users can log in with corporate credentials

Acceptance Criteria:

✅ Supports SAML 2.0
✅ Supports OIDC (OpenID Connect)
✅ Can configure multiple identity providers
✅ User provisioning on first login
✅ Role mapping from SSO attributes
✅ Comprehensive SSO admin documentation

Tasks:

T5.1.1.1: Implement SAML authentication flow
T5.1.1.2: Implement OIDC authentication flow
T5.1.1.3: Build IdP configuration UI
T5.1.1.4: Add user auto-provisioning
T5.1.1.5: Implement role mapping
T5.1.1.6: Write SSO documentation
T5.1.1.7: Test with common IdPs (Okta, Azure AD, etc.)

Dependencies: M4 completion

Estimated Effort: 6 days

Story 5.1.2: Advanced Permission System

As an admin I want to configure granular permissions So that I can control access at field level

Acceptance Criteria:

✅ Can define custom roles beyond default set
✅ Field-level read/write permissions
✅ Project-level permission overrides
✅ Permission inheritance and cascading
✅ Permission testing/preview tool
✅ Audit log for permission changes

Tasks:

T5.1.2.1: Design advanced permission schema
T5.1.2.2: Implement permission evaluation engine
T5.1.2.3: Build role management UI
T5.1.2.4: Add field-level permission controls
T5.1.2.5: Implement permission preview
T5.1.2.6: Add permission audit logging
T5.1.2.7: Write permission tests

Dependencies: Story 5.1.1

Estimated Effort: 5 days

Story 5.1.3: Compliance & Data Privacy

As a compliance officer I want to ensure ColaFlow meets regulatory requirements So that we can deploy in regulated industries

Acceptance Criteria:

✅ GDPR compliance: data export, right to deletion
✅ Data retention policies configurable
✅ PII field identification and protection
✅ Audit log retention and immutability
✅ Compliance report generation
✅ Data encryption at rest and in transit

Tasks:

T5.1.3.1: Implement GDPR data export
T5.1.3.2: Implement right to deletion
T5.1.3.3: Add data retention policies
T5.1.3.4: Identify and protect PII fields
T5.1.3.5: Ensure audit log immutability
T5.1.3.6: Build compliance reports
T5.1.3.7: Verify encryption implementation
T5.1.3.8: Conduct security audit

Dependencies: Story 5.1.2

Estimated Effort: 6 days

Epic 5.2: Performance & Scalability

Description: Optimize for large datasets and high concurrency.

Business Value: Support enterprise-scale deployments.

Estimated Effort: 2 weeks

Story 5.2.1: Database Optimization

As a system admin I want to ensure system performs well with large datasets So that users have fast experience

Acceptance Criteria:

✅ All critical queries < 100ms (p95)
✅ Proper indexing on all foreign keys
✅ Query optimization for complex searches
✅ Connection pooling configured
✅ Database monitoring and alerting
✅ Handles 10,000+ issues per project

Tasks:

T5.2.1.1: Analyze slow query log
T5.2.1.2: Add missing database indexes
T5.2.1.3: Optimize complex queries
T5.2.1.4: Configure connection pooling
T5.2.1.5: Set up database monitoring
T5.2.1.6: Run load tests
T5.2.1.7: Document optimization findings

Dependencies: M4 completion

Estimated Effort: 5 days

Story 5.2.2: Caching Strategy

As a developer I want to implement effective caching So that frequently accessed data loads instantly

Acceptance Criteria:

✅ Redis cache for session data
✅ API response caching for read-heavy endpoints
✅ Cache invalidation on data changes
✅ Cache hit rate > 80% for common queries
✅ Cache monitoring and metrics
✅ Configurable cache TTL per resource type

Tasks:

T5.2.2.1: Set up Redis cluster
T5.2.2.2: Implement cache middleware
T5.2.2.3: Add caching to hot endpoints
T5.2.2.4: Implement cache invalidation logic
T5.2.2.5: Add cache metrics
T5.2.2.6: Configure cache TTL per resource
T5.2.2.7: Test cache behavior under load

Dependencies: Story 5.2.1

Estimated Effort: 4 days

Story 5.2.3: Horizontal Scaling

As a DevOps engineer I want to deploy ColaFlow in clustered mode So that we can handle high traffic

Acceptance Criteria:

✅ Stateless application servers
✅ Load balancer configuration documented
✅ Session management via Redis
✅ Database read replicas supported
✅ Health checks for all services
✅ Kubernetes deployment manifests

Tasks:

T5.2.3.1: Ensure stateless application design
T5.2.3.2: Implement Redis-based session storage
T5.2.3.3: Configure database read replicas
T5.2.3.4: Create Kubernetes manifests
T5.2.3.5: Set up load balancer
T5.2.3.6: Add health check endpoints
T5.2.3.7: Test failover scenarios
T5.2.3.8: Document deployment architecture

Dependencies: Story 5.2.2

Estimated Effort: 6 days

Epic 5.3: Internal Pilot Deployment

Description: Deploy to internal teams and gather feedback.

Business Value: Validate product with real users before external release.

Estimated Effort: 2 weeks (includes monitoring period)

Story 5.3.1: Pilot Environment Setup

As a DevOps engineer I want to deploy ColaFlow to production-like environment So that pilot users can test with real data

Acceptance Criteria:

✅ Production-like infrastructure (cloud-based)
✅ SSL certificates configured
✅ Monitoring and logging in place
✅ Backup and disaster recovery configured
✅ Performance meets SLA targets
✅ Security hardening applied

Tasks:

T5.3.1.1: Provision cloud infrastructure
T5.3.1.2: Deploy application with CI/CD pipeline
T5.3.1.3: Configure SSL/TLS certificates
T5.3.1.4: Set up monitoring (Prometheus, Grafana)
T5.3.1.5: Configure logging (ELK stack)
T5.3.1.6: Implement backup strategy
T5.3.1.7: Conduct security hardening
T5.3.1.8: Run smoke tests

Dependencies: Epic 5.2 completion

Estimated Effort: 5 days

Story 5.3.2: User Onboarding & Training

As a pilot user I want to understand how to use ColaFlow So that I can be productive quickly

Deliverables:

User documentation
Video tutorials
Live training sessions
FAQ and troubleshooting guide
Feedback collection mechanism

Acceptance Criteria:

✅ All pilot users complete onboarding training
✅ Documentation covers all main features
✅ Users can create projects and tasks independently
✅ Support channel is available for questions
✅ Feedback mechanism is in place

Tasks:

T5.3.2.1: Create user documentation
T5.3.2.2: Record video tutorials
T5.3.2.3: Prepare training presentation
T5.3.2.4: Conduct live training sessions
T5.3.2.5: Set up support Slack channel
T5.3.2.6: Create feedback survey
T5.3.2.7: Schedule weekly check-ins

Dependencies: Story 5.3.1

Estimated Effort: 4 days

Story 5.3.3: Feedback Collection & Iteration

As a PM I want to gather and act on pilot user feedback So that we can improve before wider release

Acceptance Criteria:

✅ Weekly feedback surveys sent
✅ Bi-weekly check-in meetings held
✅ Bug reports tracked and prioritized
✅ Feature requests logged
✅ Critical issues resolved within 48 hours
✅ Feedback summary report created

Tasks:

T5.3.3.1: Create feedback survey template
T5.3.3.2: Set up bug tracking workflow
T5.3.3.3: Conduct bi-weekly check-ins
T5.3.3.4: Triage and prioritize issues
T5.3.3.5: Fix critical bugs
T5.3.3.6: Analyze feedback themes
T5.3.3.7: Create feedback summary report
T5.3.3.8: Plan M6 improvements based on feedback

Dependencies: Story 5.3.2

Estimated Effort: Ongoing (2 weeks monitoring)

M5 Summary

Total Epics: 3 Total Stories: 9 Total Tasks: 52 Estimated Duration: 4 weeks (1 month) Team Size: 2 Backend, 1 Frontend, 1 DevOps, 1 QA, 1 PM

M6: Stable Release (Months 10-12)

Epic 6.1: Documentation & Developer Experience

Description: Comprehensive documentation, API docs, SDK, and developer portal.

Business Value: Enable community adoption and third-party integrations.

Estimated Effort: 3 weeks

Story 6.1.1: API Documentation

As a developer I want to comprehensive API documentation So that I can integrate ColaFlow with other tools

Acceptance Criteria:

✅ All REST endpoints documented
✅ All GraphQL queries/mutations documented
✅ All MCP resources/tools documented
✅ Interactive API explorer (Swagger/GraphiQL)
✅ Code examples in multiple languages
✅ Authentication guide
✅ Rate limiting documentation
✅ Changelog for API versions

Tasks:

T6.1.1.1: Set up Swagger/OpenAPI for REST
T6.1.1.2: Generate API documentation from code
T6.1.1.3: Add descriptions and examples to all endpoints
T6.1.1.4: Document GraphQL schema
T6.1.1.5: Document MCP protocol usage
T6.1.1.6: Write authentication guide
T6.1.1.7: Create code examples
T6.1.1.8: Publish to developer portal

Dependencies: M5 completion

Estimated Effort: 6 days

Story 6.1.2: ColaFlow SDK

As a developer I want to official SDKs for common languages So that I can easily integrate ColaFlow

Languages:

JavaScript/TypeScript
Python
Go (optional)

Acceptance Criteria:

✅ SDK covers all major API endpoints
✅ Proper error handling and typing
✅ Authentication helpers included
✅ Published to package registries (npm, PyPI)
✅ Comprehensive README and examples
✅ Unit tests with high coverage

Tasks:

T6.1.2.1: Design SDK architecture
T6.1.2.2: Implement TypeScript SDK
T6.1.2.3: Implement Python SDK
T6.1.2.4: Add authentication helpers
T6.1.2.5: Write SDK documentation
T6.1.2.6: Create example projects
T6.1.2.7: Publish to npm and PyPI
T6.1.2.8: Set up CI/CD for SDKs

Dependencies: Story 6.1.1

Estimated Effort: 8 days

Story 6.1.3: Developer Portal & Community

As a developer I want to central hub for ColaFlow development So that I can find resources and connect with community

Deliverables:

Developer portal website
Getting started guides
Tutorial series
FAQ and troubleshooting
Community forum or Discord
GitHub repositories with examples

Acceptance Criteria:

✅ Portal is live and accessible
✅ All documentation is searchable
✅ Community platform is active
✅ Getting started guide takes < 15 minutes
✅ Example projects cover common use cases
✅ Support channels are clearly defined

Tasks:

T6.1.3.1: Build developer portal website
T6.1.3.2: Write getting started guide
T6.1.3.3: Create tutorial series
T6.1.3.4: Set up community platform
T6.1.3.5: Create example projects
T6.1.3.6: Set up GitHub organization
T6.1.3.7: Write contribution guidelines
T6.1.3.8: Launch community outreach

Dependencies: Story 6.1.2

Estimated Effort: 6 days

Epic 6.2: Plugin Architecture & Extensibility

Description: Enable third-party extensions and customizations.

Business Value: Ecosystem growth and long-term platform value.

Estimated Effort: 3 weeks

Story 6.2.1: Plugin System Design

As a platform architect I want to define plugin architecture So that developers can extend ColaFlow safely

Acceptance Criteria:

✅ Plugin manifest format defined
✅ Plugin lifecycle (install, enable, disable, uninstall)
✅ Sandboxed execution environment
✅ Plugin API access controls
✅ Version compatibility checking
✅ Plugin registry infrastructure

Tasks:

T6.2.1.1: Design plugin architecture document
T6.2.1.2: Define plugin manifest schema
T6.2.1.3: Implement plugin loader
T6.2.1.4: Create plugin sandbox environment
T6.2.1.5: Build plugin registry backend
T6.2.1.6: Implement version checking
T6.2.1.7: Write plugin developer guide
T6.2.1.8: Create example plugin

Dependencies: M5 completion

Estimated Effort: 8 days

Story 6.2.2: Plugin Marketplace

As a user I want to discover and install plugins So that I can extend ColaFlow functionality

Acceptance Criteria:

✅ Marketplace UI for browsing plugins
✅ Plugin search and filtering
✅ Plugin ratings and reviews
✅ One-click plugin installation
✅ Plugin update notifications
✅ Security vetting process for listed plugins

Tasks:

T6.2.2.1: Design marketplace UI
T6.2.2.2: Build plugin listing API
T6.2.2.3: Implement search and filtering
T6.2.2.4: Add ratings and reviews system
T6.2.2.5: Create plugin installation flow
T6.2.2.6: Build update notification system
T6.2.2.7: Define security review process
T6.2.2.8: Publish official plugins

Dependencies: Story 6.2.1

Estimated Effort: 7 days

Epic 6.3: Final Polish & Launch Preparation

Description: Bug fixes, performance tuning, marketing materials.

Business Value: Professional launch and user acquisition.

Estimated Effort: 4 weeks

Story 6.3.1: Comprehensive Testing & Bug Fixes

As a QA engineer I want to thoroughly test all features So that we launch with high quality

Testing Types:

Functional testing (all features)
Integration testing (all external systems)
Performance testing (load, stress)
Security testing (penetration, vulnerability scan)
Accessibility testing (WCAG compliance)
Browser compatibility testing

Acceptance Criteria:

✅ All critical bugs resolved
✅ No P0 or P1 bugs in backlog
✅ Performance meets all SLA targets
✅ Security scan passes with no high-severity issues
✅ Accessibility audit passes
✅ All browsers supported work correctly

Tasks:

T6.3.1.1: Conduct full functional testing
T6.3.1.2: Run integration test suite
T6.3.1.3: Perform load and stress testing
T6.3.1.4: Conduct security audit
T6.3.1.5: Run accessibility testing
T6.3.1.6: Test browser compatibility
T6.3.1.7: Fix all identified issues
T6.3.1.8: Retest after fixes

Dependencies: All previous epics

Estimated Effort: 10 days

Story 6.3.2: Marketing & Launch Materials

As a marketing lead I want to create launch materials So that we can attract users

Deliverables:

Product website
Demo video
Launch blog post
Social media content
Press kit
Customer case studies

Acceptance Criteria:

✅ Website is live and optimized for conversions
✅ Demo video clearly shows value proposition
✅ Launch blog post is published
✅ Social media accounts are active
✅ Press kit is ready for distribution
✅ At least 2 customer case studies available

Tasks:

T6.3.2.1: Design and build product website
T6.3.2.2: Create demo video
T6.3.2.3: Write launch blog post
T6.3.2.4: Create social media content
T6.3.2.5: Prepare press kit
T6.3.2.6: Write customer case studies
T6.3.2.7: Set up analytics and tracking
T6.3.2.8: Plan launch event/webinar

Dependencies: None (parallel work)

Estimated Effort: 8 days

Story 6.3.3: Launch & Post-Launch Support

As a PM I want to execute successful launch So that we gain initial user adoption

Launch Checklist:

Production environment ready
Monitoring and alerting active
Support team trained
Documentation complete
Pricing and licensing finalized
Legal terms and privacy policy published

Acceptance Criteria:

✅ All launch checklist items completed
✅ Launch announcement published
✅ Support channels are staffed
✅ Incident response plan is ready
✅ User onboarding flow works smoothly
✅ First week metrics are tracked

Tasks:

T6.3.3.1: Complete launch checklist
T6.3.3.2: Finalize pricing and licensing
T6.3.3.3: Publish legal documents
T6.3.3.4: Train support team
T6.3.3.5: Execute launch announcement
T6.3.3.6: Monitor launch metrics
T6.3.3.7: Respond to user feedback
T6.3.3.8: Create post-launch report

Dependencies: Stories 6.3.1, 6.3.2

Estimated Effort: Ongoing (launch week + 2 weeks)

M6 Summary

Total Epics: 3 Total Stories: 8 Total Tasks: 57 Estimated Duration: 12 weeks (3 months) Team Size: Full team (PM, Architect, 2 Backend, 1 Frontend, 1 AI Engineer, 1 QA, 1 DevOps, 1 Marketing)

Overall Project Summary

Complete Feature Breakdown

Milestone	Duration	Epics	Stories	Tasks	Team Size
M1	8 weeks	4	10	62	4
M2	8 weeks	4	11	72	5
M3	8 weeks	3	7	47	4
M4	8 weeks	3	7	46	4
M5	4 weeks	3	9	52	6
M6	12 weeks	3	8	57	9
Total	48 weeks	20	52	336	Peak: 9

Key Milestones Timeline

M1: Months 1-2   [████████]
M2: Months 3-4   [████████]
M3: Months 5-6   [████████]
M4: Months 7-8   [████████]
M5: Month 9      [████]
M6: Months 10-12 [████████████]

Critical Path

M1 → M2 → M3 → M4 → M5 → M6 (sequential dependencies)
Within each milestone, epics can have some parallelization
M6 has the most parallel work (documentation, testing, marketing)

Resource Planning

Core Team (Months 1-8):

1 Product Manager (part-time)
1 Architect (full-time)
2 Backend Engineers (full-time)
1 Frontend Engineer (full-time)
1 AI Engineer (starting M2)
1 QA Engineer (full-time)

Extended Team (Months 9-12):

Add 1 DevOps Engineer (M5)
Add 1 Marketing Lead (M6)
Increase PM to full-time (M6)

Appendix: Story Point Estimation

Story Points by Epic

Each epic is assigned story points based on complexity, risk, and effort:

M1 Epics:

Epic 1.1: 21 points
Epic 1.2: 13 points
Epic 1.3: 13 points
Epic 1.4: 8 points
M1 Total: 55 points

M2 Epics:

Epic 2.1: 13 points
Epic 2.2: 13 points
Epic 2.3: 21 points
Epic 2.4: 13 points
M2 Total: 60 points

M3 Epics:

Epic 3.1: 13 points
Epic 3.2: 13 points
Epic 3.3: 13 points
M3 Total: 39 points

M4 Epics:

Epic 4.1: 21 points
Epic 4.2: 13 points
Epic 4.3: 5 points
M4 Total: 39 points

M5 Epics:

Epic 5.1: 21 points
Epic 5.2: 13 points
Epic 5.3: 13 points
M5 Total: 47 points

M6 Epics:

Epic 6.1: 21 points
Epic 6.2: 21 points
Epic 6.3: 34 points
M6 Total: 76 points

Project Total: 316 story points

Document Status: Draft - Ready for sprint planning

Next Steps:

Review with development team for estimates validation
Create detailed sprint plans for M1
Set up project tracking in ColaFlow (dogfooding!)
Begin M1 Sprint 1 planning

54 KiB Raw Blame History

ColaFlow Feature Breakdown Document

Document Structure

M1: Core Project Management Module (Months 1-2)

Epic 1.1: Project Hierarchy & Structure

Story 1.1.1: Create Project Entity Model

Story 1.1.2: Create Epic/Story/Task Hierarchy

Story 1.1.3: Custom Fields Support

Epic 1.2: Workflow & Status Management

Story 1.2.1: Default Workflow Implementation

Story 1.2.2: Custom Workflow Configuration

Epic 1.3: Kanban Board View

Story 1.3.1: Basic Kanban Board Display

Story 1.3.2: Drag-and-Drop Functionality

Epic 1.4: Audit Log & Version History

Story 1.4.1: Comprehensive Change Tracking

Story 1.4.2: Rollback Capability

M1 Summary

M2: MCP Server Implementation (Months 3-4)

Epic 2.1: MCP Protocol Foundation

Story 2.1.1: MCP Server Setup & Configuration

Story 2.1.2: Authentication & Authorization for MCP

Epic 2.2: MCP Resources Implementation

Story 2.2.1: Implement projects.search Resource

Story 2.2.2: Implement issues.search Resource

Story 2.2.3: Implement Additional Resources

Epic 2.3: MCP Tools Implementation

Story 2.3.1: Implement Diff Preview System

Story 2.3.2: Implement create_issue Tool

Story 2.3.3: Implement update_status Tool

Story 2.3.4: Implement Additional Tools

Epic 2.4: AI Control Console UI

Story 2.4.1: Diff Review Interface

Story 2.4.2: AI Activity Dashboard

M2 Summary

M3: ChatGPT Integration PoC (Months 5-6)

Epic 3.1: AI Task Generation

Story 3.1.1: Natural Language Task Creation

Story 3.1.2: Automatic Acceptance Criteria Generation

Epic 3.2: Automated Reporting

Story 3.2.1: Daily Standup Report Generation

Story 3.2.2: AI-Generated Risk Reports

Epic 3.3: ChatGPT Custom GPT Integration

Story 3.3.1: ColaFlow GPT Configuration

Story 3.3.2: Conversational Project Management

M3 Summary

M4: External System Integration (Months 7-8)

Epic 4.1: GitHub Integration

Story 4.1.1: GitHub OAuth & Repository Connection

Story 4.1.2: PR → Task Linking

Story 4.1.3: Branch & Commit Tracking

Epic 4.2: Slack Integration

Story 4.2.1: Slack App & Bot Setup

Story 4.2.2: Task Notifications in Slack

Story 4.2.3: Slash Commands in Slack

Epic 4.3: Calendar Integration

Story 4.3.1: Google Calendar Integration

M4 Summary

M5: Enterprise Pilot (Month 9)

Epic 5.1: Enterprise Features

Story 5.1.1: Single Sign-On (SSO) Support

Story 5.1.2: Advanced Permission System

Story 5.1.3: Compliance & Data Privacy

Epic 5.2: Performance & Scalability

Story 5.2.1: Database Optimization

Story 5.2.2: Caching Strategy

Story 5.2.3: Horizontal Scaling

Epic 5.3: Internal Pilot Deployment

Story 5.3.1: Pilot Environment Setup

Story 5.3.2: User Onboarding & Training

Story 5.3.3: Feedback Collection & Iteration

M5 Summary

M6: Stable Release (Months 10-12)

Epic 6.1: Documentation & Developer Experience

Story 6.1.1: API Documentation

Story 6.1.2: ColaFlow SDK

Story 6.1.3: Developer Portal & Community

Epic 6.2: Plugin Architecture & Extensibility

Story 6.2.1: Plugin System Design

Story 6.2.2: Plugin Marketplace

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