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goplt/docs/content/stories/STORY_CONSOLIDATION_GUIDE.md

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Story Consolidation Guide

Overview

The stories have been reworked from granular, task-based items into meaningful, cohesive stories that solve complete problems. Each story now represents a complete feature or capability that can be tested end-to-end.

Transformation Pattern

Before (Granular Tasks)

  • "Install dependency X"
  • "Create file Y"
  • "Add function Z"
  • Multiple tiny tasks that don't deliver value alone

After (Meaningful Stories)

  • "Configuration Management System" - Complete config system with interface, implementation, and files
  • "JWT Authentication System" - Complete auth with tokens, middleware, and endpoints
  • "Database Layer with Ent ORM" - Complete database setup with entities, migrations, and client

Story Structure

Each consolidated story follows this structure:

  1. Goal - High-level objective
  2. Description - What problem it solves
  3. Deliverables - Complete list of what will be delivered
  4. Acceptance Criteria - How we know it's done
  5. Implementation Steps - High-level steps (not micro-tasks)

Epic 0 - Completed Examples

0.1 Project Initialization and Repository Structure

Consolidates: Go module init, directory structure, .gitignore, README

0.2 Configuration Management System

Consolidates: Install viper, create interface, implement loader, create config files

0.3 Structured Logging System

Consolidates: Install zap, create interface, implement logger, request ID middleware

0.4 CI/CD Pipeline

Consolidates: GitHub Actions workflow, Makefile creation

0.5 DI and Application Bootstrap

Consolidates: Install FX, create DI container, create main.go

Remaining Epics - Consolidation Pattern

Epic 1: Core Kernel

  • 1.1 Enhanced DI Container - All DI providers and extensions
  • 1.2 Database Layer - Complete Ent setup with entities and migrations
  • 1.3 Health & Metrics - Complete monitoring system
  • 1.4 Error Handling - Complete error bus system
  • 1.5 HTTP Server - Complete server with all middleware
  • 1.6 OpenTelemetry - Complete tracing setup
  • 1.7 Service Client Interfaces - Complete service abstraction layer

Epic 2: Authentication & Authorization

  • 2.1 JWT Authentication System - Complete auth with tokens
  • 2.2 Identity Management - Complete user lifecycle
  • 2.3 RBAC System - Complete permission system
  • 2.4 Role Management API - Complete role management
  • 2.5 Audit Logging - Complete audit system
  • 2.6 Database Seeding - Complete seeding system

Epic 3: Module Framework

  • 3.1 Module Interface & Registry - Complete module system
  • 3.2 Permission Code Generation - Complete code gen system
  • 3.3 Module Loader - Complete loading and initialization
  • 3.4 Module CLI - Complete CLI tool
  • 3.5 Service Registry - Complete service discovery

Epic 4: Sample Blog Module

  • 4.1 Complete Blog Module - Full module with CRUD, permissions, API

Epic 5: Infrastructure Adapters

  • 5.1 Cache System - Complete Redis cache
  • 5.2 Event Bus - Complete event system
  • 5.3 Blob Storage - Complete S3 storage
  • 5.4 Email Notification - Complete email system
  • 5.5 Scheduler & Jobs - Complete job system
  • 5.6 Secret Store - Complete secret management
  • 5.7 gRPC Services - Complete gRPC service definitions and clients

Epic 6: Observability

  • 6.1 Enhanced OpenTelemetry - Complete tracing
  • 6.2 Error Reporting - Complete Sentry integration
  • 6.3 Enhanced Logging - Complete log correlation
  • 6.4 Metrics Expansion - Complete metrics
  • 6.5 Grafana Dashboards - Complete dashboards
  • 6.6 Rate Limiting - Complete rate limiting
  • 6.7 Security Hardening - Complete security
  • 6.8 Performance Optimization - Complete optimizations

Epic 7: Testing & Documentation

  • 7.1 Unit Testing - Complete test suite
  • 7.2 Integration Testing - Complete integration tests
  • 7.3 Documentation - Complete docs
  • 7.4 CI/CD Enhancement - Complete pipeline
  • 7.5 Docker & Deployment - Complete deployment setup

Epic 8: Advanced Features

  • 8.1 OIDC Support - Complete OIDC
  • 8.2 GraphQL API - Complete GraphQL
  • 8.3 Additional Modules - Complete sample modules
  • 8.4 Performance - Complete optimizations

Creating New Story Files

When creating story files for remaining epics, follow this template:

# Story X.Y: [Meaningful Title]

## Metadata
- **Story ID**: X.Y
- **Title**: [Complete Feature Name]
- **Epic**: X - [Epic Name]
- **Status**: Pending
- **Priority**: High
- **Estimated Time**: [hours]
- **Dependencies**: [story IDs]

## Goal
[High-level objective - what problem does this solve?]

## Description
[What this story delivers as a complete capability]

## Deliverables
- [Complete list of deliverables - not just files, but complete features]
- [Interface definitions]
- [Implementations]
- [API endpoints]
- [Integration points]

## Implementation Steps
1. [High-level step 1]
2. [High-level step 2]
3. [High-level step 3]

## Acceptance Criteria
- [ ] [End-to-end testable criteria]
- [ ] [Feature works completely]
- [ ] [Integration works]

## Related ADRs
- [ADR links]

## Implementation Notes
- [Important considerations]

## Testing
[How to test the complete feature]

## Files to Create/Modify
- [List of files]

Key Principles

  1. Each story solves a complete problem - Not just "install X" or "create file Y"
  2. Stories are testable end-to-end - You can verify the complete feature works
  3. Stories deliver business value - Even infrastructure stories solve complete problems
  4. Stories are independent where possible - Can be worked on separately
  5. Stories have clear acceptance criteria - You know when they're done

Next Steps

  1. Update remaining epic README files to reference consolidated stories
  2. Create story files for remaining epics following the pattern
  3. Update plan.md to complete all epics with story-based structure
  4. Remove old granular task files (or archive them)

Benefits of This Approach

  • Better Planning: Stories represent complete features
  • Clearer Progress: You can see complete features being delivered
  • Better Testing: Each story can be tested end-to-end
  • Reduced Overhead: Fewer story files to manage
  • More Meaningful: Stories solve real problems, not just tasks