Fawkes Implementation Handoff Document

Version: 1.0
Date: December 2024
Status: Ready for Implementation


πŸ“‹ Quick Reference

Project: Fawkes Internal Delivery Platform
GitHub: https://github.com/paruff/fawkes/
Duration: 12 weeks (3 months)
Team: Solo developer + GitHub Copilot agents
Infrastructure: Local 4-node K8s cluster


🎯 Three Epic Overview

Epic 1: DORA 2023 Foundation (Month 1)

Goal: Deploy core IDP with automated DORA metrics

Key Deliverables:

  • Local 4-node Kubernetes cluster
  • GitOps with ArgoCD
  • Developer portal (Backstage)
  • CI/CD pipelines (Jenkins)
  • Security scanning (SonarQube, Trivy)
  • Observability stack (Prometheus, Grafana)
  • DORA metrics automation
  • 3 golden path templates

Acceptance Tests: AT-E1-001 through AT-E1-012 (12 tests)
GitHub Issues: #1 through #38 (38 issues)
Resource Target: <70% CPU/Memory utilization


Epic 2: AI & Data Platform (Month 2)

Goal: Integrate AI capabilities and establish data platform

Key Deliverables:

  • AI coding assistant (GitHub Copilot)
  • RAG architecture with vector database
  • Data catalog (DataHub)
  • Data quality framework (Great Expectations)
  • Value Stream Mapping (VSM)
  • Unified GraphQL data API
  • AI code review automation
  • Discovery capability foundation

Acceptance Tests: AT-E2-001 through AT-E2-012 (12 tests)
GitHub Issues: #39 through #72 (34 issues)
Resource Target: <75% CPU/Memory utilization


Epic 3: Product Discovery & UX (Month 3)

Goal: Implement comprehensive product discovery capabilities

Key Deliverables:

  • User research infrastructure
  • DevEx measurement (SPACE framework)
  • Multi-channel feedback system
  • Design system and component library
  • Journey maps (5 key workflows)
  • Product analytics platform
  • Feature flags and experimentation
  • Continuous discovery process

Acceptance Tests: AT-E3-001 through AT-E3-012 (12 tests)
GitHub Issues: #73 through #108 (36 issues)
Resource Target: Optimized, <75% CPU/Memory


πŸ“Š All Acceptance Tests Reference

Epic 1: DORA 2023 Foundation

Test IDCategoryDescriptionPriority
AT-E1-001InfrastructureLocal 4-node K8s cluster deployedP0
AT-E1-002GitOpsArgoCD manages all platform componentsP0
AT-E1-003Developer PortalBackstage with 3 templates functionalP0
AT-E1-004CI/CDJenkins pipelines build/test/deployP0
AT-E1-005SecurityDevSecOps scanning integratedP0
AT-E1-006ObservabilityPrometheus/Grafana stack deployedP0
AT-E1-007MetricsDORA metrics automated (4 key metrics)P0
AT-E1-008Templates3 golden paths work end-to-endP0
AT-E1-009RegistryHarbor with security scanningP0
AT-E1-010PerformanceResource usage <70% on clusterP0
AT-E1-011DocumentationComplete docs and runbooksP0
AT-E1-012IntegrationFull platform workflow validatedP0

Epic 2: AI & Data Platform

Test IDCategoryDescriptionPriority
AT-E2-001AI IntegrationAI coding assistant functionalP0
AT-E2-002AI ArchitectureRAG system with internal contextP0
AT-E2-003Data PlatformDataHub catalog operationalP0
AT-E2-004Data QualityGreat Expectations monitoringP0
AT-E2-005VSMValue stream visibility end-to-endP0
AT-E2-006AI GovernanceClear AI policy and complianceP0
AT-E2-007AI AutomationAI code review workingP1
AT-E2-008Data APIUnified GraphQL API deployedP1
AT-E2-009AI ObservabilityAI-powered anomaly detectionP1
AT-E2-010Discovery FoundationBasic feedback/NPS toolsP1
AT-E2-011PerformanceResource usage <75% on clusterP0
AT-E2-012DocumentationComplete Epic 2 docsP0

Epic 3: Product Discovery & UX

Test IDCategoryDescriptionPriority
AT-E3-001User ResearchResearch tooling operationalP0
AT-E3-002DevExSPACE framework implementedP0
AT-E3-003FeedbackMulti-channel feedback systemP0
AT-E3-004Design SystemComponent library with StorybookP1
AT-E3-005Journey Mapping5 key user journeys documentedP1
AT-E3-006ExperimentationFeature flags and A/B testingP1
AT-E3-007AnalyticsProduct usage analytics platformP1
AT-E3-008ProcessContinuous discovery establishedP0
AT-E3-009AccessibilityWCAG 2.1 AA compliance >90%P1
AT-E3-010UsabilityUsability testing infrastructureP1
AT-E3-011Advisory BoardCustomer advisory board setupP2
AT-E3-012DocumentationComplete Epic 3 docsP0

πŸ—‚οΈ GitHub Issues Structure

Issue Numbering Convention

Issues #1-38:   Epic 1 (DORA 2023 Foundation)
Issues #39-72:  Epic 2 (AI & Data Platform)
Issues #73-108: Epic 3 (Product Discovery & UX)

Issue Template Structure

Every issue follows this format:

# Issue #{number}: {Title}
 
**Epic**: {Epic Name}  
**Milestone**: {Milestone Name}  
**Priority**: {P0/P1/P2}  
**Estimated Effort**: {hours}  
**Labels**: {epic-X, type-X, comp-X, priority}
 
## Description
{Clear description of what needs to be built}
 
## Acceptance Criteria
- [ ] {Criterion 1}
- [ ] {Criterion 2}
- [ ] {Criterion 3}
- [ ] Acceptance test {AT-ID} passes
 
## Tasks
### Task {ID}: {Task Name}
**Location**: `{file/directory}`  
**Type**: {terraform/kubernetes/go/python/markdown}
 
**Copilot Prompt**:

{Detailed prompt optimized for AI agent}

**Validation**:
```bash
{Commands to verify completion}

Dependencies

  • Depends on: #{issue numbers}
  • Blocks: #{issue numbers}

Definition of Done

  • Code implemented and committed
  • Tests written and passing
  • Documentation updated
  • Acceptance test passes

Resources

---

## πŸ“… Weekly Breakdown

### Month 1: Epic 1 - DORA 2023 Foundation

**Week 1: Infrastructure & GitOps**
- Issue #1: Local K8s cluster (4 nodes)
- Issue #2: Ingress controller
- Issue #3: Persistent storage
- Issue #4: AT-E1-001 validation
- Issue #5: Deploy ArgoCD
- Issue #6: Git repo structure
- Issue #7: App-of-apps pattern
- Issue #8: AT-E1-002 validation

**Week 2: Developer Portal & CI/CD**
- Issue #9: Deploy Backstage + PostgreSQL
- Issue #10: GitHub OAuth
- Issue #11: 3 golden path templates
- Issue #12: TechDocs plugin
- Issue #13: AT-E1-003 validation
- Issue #14: Deploy Jenkins
- Issue #15: Jenkins JCasC
- Issue #16: Shared library (3 Jenkinsfiles)
- Issue #17: Deploy Harbor
- Issue #18: AT-E1-004 + AT-E1-009 validation

**Week 3: Security & Observability**
- Issue #19: Deploy SonarQube
- Issue #20: Trivy integration
- Issue #21: git-secrets
- Issue #22: Security gates
- Issue #23: AT-E1-005 validation
- Issue #24: Deploy kube-prometheus-stack
- Issue #25: OpenTelemetry Collector
- Issue #26: Fluent Bit + OpenSearch
- Issue #27: Grafana dashboards
- Issue #28: AT-E1-006 validation

**Week 4: DORA Metrics & Integration**
- Issue #29: DORA metrics service
- Issue #30: Configure webhooks
- Issue #31: DORA dashboard
- Issue #32: AT-E1-007 validation
- Issue #33: Deploy 3 sample apps
- Issue #34: E2E integration test
- Issue #35: Resource optimization
- Issue #36: Complete documentation
- Issue #37: Video walkthrough
- Issue #38: AT-E1-012 final validation

---

### Month 2: Epic 2 - AI & Data Platform

**Week 1: AI Foundation**
- Issue #39: Vector database (Weaviate)
- Issue #40: RAG service
- Issue #41: Index documentation
- Issue #42: AI assistant config
- Issue #43: AI policy docs
- Issue #44: AT-E2-001 + AT-E2-002 validation

**Week 2: Data Platform**
- Issue #45: Deploy DataHub
- Issue #46: Data source ingestion
- Issue #47: Great Expectations
- Issue #48: Expectation suites
- Issue #49: Data quality dashboard
- Issue #50: AT-E2-003 + AT-E2-004 validation

**Week 3: VSM & Enhanced Operations**
- Issue #51: VSM tracking service
- Issue #52: Define value stream stages
- Issue #53: GraphQL unified API
- Issue #54: Flow metrics dashboard
- Issue #55: Focalboard integration
- Issue #56: AT-E2-005 + AT-E2-008 validation
- Issue #57: AI code review bot
- Issue #58: AI anomaly detection
- Issue #59: Smart alerting
- Issue #60: AI observability dashboard
- Issue #61: AT-E2-007 + AT-E2-009 validation

**Week 4: Discovery Foundation & Integration**
- Issue #62: Feedback widget
- Issue #63: NPS automation
- Issue #64: Research templates
- Issue #65: Feedback analytics
- Issue #66: AT-E2-010 validation
- Issue #67: AI training modules (3)
- Issue #68: RAG architecture docs
- Issue #69: Data platform runbooks
- Issue #70: Video tutorials
- Issue #71: Resource optimization
- Issue #72: AT-E2-011 + AT-E2-012 validation

---

### Month 3: Epic 3 - Product Discovery & UX

**Week 1: Research Infrastructure & DevEx**
- Issue #73: Research repository
- Issue #74: Persona templates
- Issue #75: Interview guides
- Issue #76: Insights database
- Issue #77: Research dashboard
- Issue #78: AT-E3-001 validation
- Issue #79: SPACE metrics collection
- Issue #80: DevEx dashboard
- Issue #81: Survey automation
- Issue #82: Friction logging
- Issue #83: Cognitive load tool
- Issue #84: AT-E3-002 validation

**Week 2: Feedback & Design Systems**
- Issue #85: Enhanced feedback widget
- Issue #86: CLI feedback tool
- Issue #87: Mattermost bot
- Issue #88: Feedback-to-issue automation
- Issue #89: Feedback analytics
- Issue #90: AT-E3-003 validation
- Issue #91: Design system library
- Issue #92: Figma/Penpot integration
- Issue #93: Storybook deployment
- Issue #94: Accessibility testing
- Issue #95: Journey maps (5)
- Issue #96: AT-E3-004 + AT-E3-005 + AT-E3-009 validation

**Week 3: Analytics & Experimentation**
- Issue #97: Analytics platform
- Issue #98: Event tracking
- Issue #99: Feature flags (Unleash)
- Issue #100: Experimentation framework
- Issue #101: Analytics dashboards
- Issue #102: AT-E3-006 + AT-E3-007 validation

**Week 4: Process & Final Integration**
- Issue #103: Discovery workflow docs
- Issue #104: Usability testing setup
- Issue #105: Discovery metrics dashboard
- Issue #106: Advisory board setup
- Issue #107: Complete Epic 3 docs
- Issue #108: AT-E3-008 + AT-E3-010 + AT-E3-011 + AT-E3-012 validation

---

## πŸ”§ Technical Stack Reference

### Core Platform (Epic 1)
- **Orchestration**: Kubernetes (local, 4 nodes)
- **GitOps**: ArgoCD
- **Developer Portal**: Backstage
- **CI/CD**: Jenkins with Kubernetes plugin
- **Container Registry**: Harbor
- **Security**: SonarQube, Trivy, git-secrets
- **Observability**: Prometheus, Grafana, OpenTelemetry, OpenSearch, Fluent Bit
- **Database**: PostgreSQL
- **IaC**: Terraform

### AI & Data (Epic 2)
- **AI Assistant**: GitHub Copilot (or Continue.dev)
- **Vector Database**: Weaviate (or ChromaDB/Qdrant)
- **RAG Service**: Custom (Python/Go)
- **Data Catalog**: DataHub
- **Data Quality**: Great Expectations
- **Unified API**: GraphQL (Hasura or custom)
- **Feature Flags**: Unleash

### Discovery & UX (Epic 3)
- **Analytics**: Plausible or Matomo
- **Design System**: Storybook
- **Design Tool**: Figma or Penpot
- **Feedback**: Custom widgets + integrations
- **Accessibility**: axe-core, Lighthouse

---

## πŸ’° Resource Requirements

### Hardware (Local Development)
```yaml
minimum_requirements:
  total_cpu: 16 cores
  total_memory: 32 GB RAM
  total_disk: 500 GB SSD
  network: 1 Gbps

recommended_requirements:
  total_cpu: 24+ cores
  total_memory: 48+ GB RAM
  total_disk: 1 TB SSD
  network: 1+ Gbps

per_node_allocation:
  cpu: 4 cores
  memory: 8 GB
  disk: 100 GB

Resource Utilization Targets

  • Epic 1 Complete: <70% CPU/Memory
  • Epic 2 Complete: <75% CPU/Memory
  • Epic 3 Complete: <75% CPU/Memory (optimized)

Cloud Alternative (If Local Insufficient)

aws_option:
  service: EKS
  instance_type: t3.xlarge
  nodes: 4-6
  monthly_cost: $400-600
 
azure_option:
  service: AKS
  instance_type: Standard_D4s_v3
  nodes: 4-6
  monthly_cost: $350-550

βœ… Success Criteria

Epic 1 Gate Criteria

  • βœ… All 12 acceptance tests passing
  • βœ… 3 sample apps deployed via platform
  • βœ… DORA metrics showing real data
  • βœ… Resource utilization <70%
  • βœ… Documentation complete
  • βœ… Can scaffold new app and deploy in <15 minutes

Epic 2 Gate Criteria

  • βœ… All 12 acceptance tests passing
  • βœ… AI assistant functional with internal context
  • βœ… Data catalog showing all data sources
  • βœ… VSM tracking end-to-end flow
  • βœ… Resource utilization <75%
  • βœ… Documentation complete

Epic 3 Gate Criteria

  • βœ… All 12 acceptance tests passing
  • βœ… Complete discovery workflow operational
  • βœ… DevEx measurement showing trends
  • βœ… All 3 epics integrated seamlessly
  • βœ… Resource utilization optimized
  • βœ… Platform ready for external users

πŸš€ How to Use This Document

Starting a New Chat Session

Copy this template:

I'm implementing Fawkes Internal Delivery Platform.

Context:
- GitHub: https://github.com/paruff/fawkes/
- Current Epic: {1/2/3}
- Current Week: {1-4 of current epic}
- Current Issue: #{issue number}

I need help with: {specific task}

For full context, see the Implementation Handoff document in the repo.

Generating All Issues

  1. Run the generate-issues.sh script (see Artifact #2)
  2. Review generated issues in GitHub
  3. Adjust priorities if needed

Setting Up Project Board

  1. Run the setup-project-board.sh script (see Artifact #3)
  2. Verify automation rules
  3. Start moving issues through board

Working with Copilot Agents

  1. Reference Week 1 Detailed Tasks (see Artifact #4)
  2. Use Copilot prompts from issue descriptions
  3. Validate with provided commands
  4. Update issue status as you progress

πŸ“ž Support & Resources

Documentation Locations

  • Architecture: docs/architecture.md
  • ADRs: docs/adr/ADR-001.md through ADR-008.md
  • Runbooks: docs/runbooks/*.md
  • Dojo: docs/dojo/DOJO_ARCHITECTURE.md

Key Files to Reference

  • GOVERNANCE.md - Project governance
  • CODE_OF_CONDUCT.md - Community standards
  • PROJECT_CHARTER.md - Vision and mission
  • PROJECT_STATUS.md - Current status tracking

Getting Unstuck

  1. Check acceptance test validation commands
  2. Review related ADRs for architectural decisions
  3. Search GitHub issues for similar problems
  4. Check runbooks for troubleshooting steps
  5. Start new chat with specific question and context

πŸ“ˆ Progress Tracking

Weekly Checklist Template

## Week {N} Progress - Epic {X}
 
**Target Issues**: #{start}-#{end}
**Acceptance Tests**: AT-EX-00Y through AT-EX-00Z
 
### Completed This Week
- [ ] Issue #{N}: {Title}
- [ ] Issue #{N+1}: {Title}
- [ ] ...
 
### In Progress
- [ ] Issue #{N}: {Title} (Status: {%})
 
### Blocked
- [ ] Issue #{N}: {Title} (Blocker: {reason})
 
### Acceptance Tests Status
- [ ] AT-EX-00Y: {Status}
- [ ] AT-EX-00Z: {Status}
 
### Resource Utilization
- CPU: {%}
- Memory: {%}
- Disk: {%}
 
### Notes / Learnings
{Any insights, challenges, or discoveries}
 
### Next Week Plan
- [ ] Issue #{N}: {Title}
- [ ] ...

🎯 Critical Paths

Must Complete Sequential (No Parallelization)

  1. Issue #1 (K8s cluster) β†’ Everything else
  2. Issue #5 (ArgoCD) β†’ All platform components
  3. Issue #9 (Backstage) β†’ Templates and catalog
  4. Issue #29 (DORA service) β†’ Metrics collection

Can Parallelize

  • Security scanning (Issues19-22) + Observability (Issues24-28)
  • AI foundation (Issues39-43) + Data platform (Issues45-50)
  • Feedback systems (Issues85-89) + Design system (Issues91-95)

πŸ”„ Iteration & Feedback

After Each Epic

  1. Run full acceptance test suite
  2. Document lessons learned
  3. Update resource estimates
  4. Adjust next epic plan if needed
  5. Create epic retrospective issue

Monthly Review Questions

  • Are we on track with timeline?
  • Do resource limits need adjustment?
  • Should any features be descoped?
  • Are Copilot agents effective?
  • Documentation keeping pace?

πŸ“¦ Deliverable Artifacts

Epic 1 Final Deliverables

deliverables/epic-1/
β”œβ”€β”€ architecture-diagrams/
β”‚   β”œβ”€β”€ infrastructure.png
β”‚   β”œβ”€β”€ gitops-flow.png
β”‚   └── dora-metrics.png
β”œβ”€β”€ demo-videos/
β”‚   └── epic1-walkthrough.mp4
β”œβ”€β”€ sample-apps/
β”‚   β”œβ”€β”€ java-spring-boot/
β”‚   β”œβ”€β”€ python-fastapi/
β”‚   └── nodejs-express/
└── test-reports/
    └── acceptance-tests-epic1.html

Epic 2 Final Deliverables

deliverables/epic-2/
β”œβ”€β”€ ai-architecture/
β”‚   β”œβ”€β”€ rag-design.png
β”‚   └── data-platform.png
β”œβ”€β”€ demo-videos/
β”‚   └── ai-assisted-development.mp4
β”œβ”€β”€ training-modules/
β”‚   β”œβ”€β”€ ai-assisted-dev.md
β”‚   β”œβ”€β”€ prompt-engineering.md
β”‚   └── ai-code-review.md
└── test-reports/
    └── acceptance-tests-epic2.html

Epic 3 Final Deliverables

deliverables/epic-3/
β”œβ”€β”€ research-artifacts/
β”‚   β”œβ”€β”€ personas.pdf
β”‚   β”œβ”€β”€ journey-maps.pdf
β”‚   └── usability-findings.pdf
β”œβ”€β”€ design-system/
β”‚   └── storybook-export/
β”œβ”€β”€ demo-videos/
β”‚   └── continuous-discovery.mp4
└── test-reports/
    └── acceptance-tests-epic3.html

πŸŽ“ Learning Resources

  • Week 1-2: Kubernetes documentation, ArgoCD guides
  • Week 3-4: DORA State of DevOps reports
  • Week 5-6: RAG architecture patterns
  • Week 7-8: Value Stream Management resources
  • Week 9-10: SPACE framework papers
  • Week 11-12: Continuous Discovery research

Communities to Engage

  • Platform Engineering community (platformengineering.org)
  • CNCF Slack channels
  • ArgoCD/Backstage GitHub discussions
  • r/devops and r/kubernetes

πŸ“ Version History

VersionDateChangesAuthor
1.0Dec 2024Initial comprehensive planAI Assistant

END OF HANDOFF DOCUMENT

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