Fawkes Implementation Handoff Document
Version: 1.0
Date: December 2024
Status: Ready for Implementation
π 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
π― 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
π All Acceptance Tests Reference
Epic 1: DORA 2023 Foundation
| Test ID | Category | Description | Priority |
|---|---|---|---|
| AT-E1-001 | Infrastructure | Local 4-node K8s cluster deployed | P0 |
| AT-E1-002 | GitOps | ArgoCD manages all platform components | P0 |
| AT-E1-003 | Developer Portal | Backstage with 3 templates functional | P0 |
| AT-E1-004 | CI/CD | Jenkins pipelines build/test/deploy | P0 |
| AT-E1-005 | Security | DevSecOps scanning integrated | P0 |
| AT-E1-006 | Observability | Prometheus/Grafana stack deployed | P0 |
| AT-E1-007 | Metrics | DORA metrics automated (4 key metrics) | P0 |
| AT-E1-008 | Templates | 3 golden paths work end-to-end | P0 |
| AT-E1-009 | Registry | Harbor with security scanning | P0 |
| AT-E1-010 | Performance | Resource usage <70% on cluster | P0 |
| AT-E1-011 | Documentation | Complete docs and runbooks | P0 |
| AT-E1-012 | Integration | Full platform workflow validated | P0 |
Epic 2: AI & Data Platform
| Test ID | Category | Description | Priority |
|---|---|---|---|
| AT-E2-001 | AI Integration | AI coding assistant functional | P0 |
| AT-E2-002 | AI Architecture | RAG system with internal context | P0 |
| AT-E2-003 | Data Platform | DataHub catalog operational | P0 |
| AT-E2-004 | Data Quality | Great Expectations monitoring | P0 |
| AT-E2-005 | VSM | Value stream visibility end-to-end | P0 |
| AT-E2-006 | AI Governance | Clear AI policy and compliance | P0 |
| AT-E2-007 | AI Automation | AI code review working | P1 |
| AT-E2-008 | Data API | Unified GraphQL API deployed | P1 |
| AT-E2-009 | AI Observability | AI-powered anomaly detection | P1 |
| AT-E2-010 | Discovery Foundation | Basic feedback/NPS tools | P1 |
| AT-E2-011 | Performance | Resource usage <75% on cluster | P0 |
| AT-E2-012 | Documentation | Complete Epic 2 docs | P0 |
Epic 3: Product Discovery & UX
| Test ID | Category | Description | Priority |
|---|---|---|---|
| AT-E3-001 | User Research | Research tooling operational | P0 |
| AT-E3-002 | DevEx | SPACE framework implemented | P0 |
| AT-E3-003 | Feedback | Multi-channel feedback system | P0 |
| AT-E3-004 | Design System | Component library with Storybook | P1 |
| AT-E3-005 | Journey Mapping | 5 key user journeys documented | P1 |
| AT-E3-006 | Experimentation | Feature flags and A/B testing | P1 |
| AT-E3-007 | Analytics | Product usage analytics platform | P1 |
| AT-E3-008 | Process | Continuous discovery established | P0 |
| AT-E3-009 | Accessibility | WCAG 2.1 AA compliance >90% | P1 |
| AT-E3-010 | Usability | Usability testing infrastructure | P1 |
| AT-E3-011 | Advisory Board | Customer advisory board setup | P2 |
| AT-E3-012 | Documentation | Complete Epic 3 docs | P0 |
ποΈ 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
---
## π
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
---
## π§ 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
---
## π° 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: $350-550β Success Criteria
Epic 1 Gate Criteria
- β All 12 acceptance tests passing
- β 3 sample apps deployed via platform
- β DORA metrics showing real data
- β Resource utilization <70%
- β Documentation complete
- β Can scaffold new app and deploy in <15 minutes
Epic 2 Gate Criteria
- β All 12 acceptance tests passing
- β AI assistant functional with internal context
- β Data catalog showing all data sources
- β VSM tracking end-to-end flow
- β Resource utilization <75%
- β Documentation complete
Epic 3 Gate Criteria
- β All 12 acceptance tests passing
- β Complete discovery workflow operational
- β DevEx measurement showing trends
- β All 3 epics integrated seamlessly
- β Resource utilization optimized
- β Platform ready for external users
π 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
- Run the
generate-issues.shscript (see Artifact #2) - Review generated issues in GitHub
- Adjust priorities if needed
Setting Up Project Board
- Run the
setup-project-board.shscript (see Artifact #3) - Verify automation rules
- Start moving issues through board
Working with Copilot Agents
- Reference Week 1 Detailed Tasks (see Artifact #4)
- Use Copilot prompts from issue descriptions
- Validate with provided commands
- Update issue status as you progress
π Support & Resources
Documentation Locations
- Architecture:
docs/architecture.md - ADRs:
docs/adr/ADR-001.mdthroughADR-008.md - Runbooks:
docs/runbooks/*.md - Dojo:
docs/dojo/DOJO_ARCHITECTURE.md
Key Files to Reference
GOVERNANCE.md- Project governanceCODE_OF_CONDUCT.md- Community standardsPROJECT_CHARTER.md- Vision and missionPROJECT_STATUS.md- Current status tracking
Getting Unstuck
- Check acceptance test validation commands
- Review related ADRs for architectural decisions
- Search GitHub issues for similar problems
- Check runbooks for troubleshooting steps
- Start new chat with specific question and context
π 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}
- [ ] ...π― Critical Paths
Must Complete Sequential (No Parallelization)
- Issue #1 (K8s cluster) β Everything else
- Issue #5 (ArgoCD) β All platform components
- Issue #9 (Backstage) β Templates and catalog
- 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)
π Iteration & Feedback
After Each Epic
- Run full acceptance test suite
- Document lessons learned
- Update resource estimates
- Adjust next epic plan if needed
- 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?
π¦ Deliverable Artifacts
Epic 1 Final Deliverables
deliverables/epic-1/
βββ architecture-diagrams/
β βββ infrastructure.png
β βββ gitops-flow.png
β βββ dora-metrics.png
βββ demo-videos/
β βββ epic1-walkthrough.mp4
βββ sample-apps/
β βββ java-spring-boot/
β βββ python-fastapi/
β βββ nodejs-express/
βββ test-reports/
βββ acceptance-tests-epic1.html
Epic 2 Final Deliverables
deliverables/epic-2/
βββ ai-architecture/
β βββ rag-design.png
β βββ data-platform.png
βββ demo-videos/
β βββ ai-assisted-development.mp4
βββ training-modules/
β βββ ai-assisted-dev.md
β βββ prompt-engineering.md
β βββ ai-code-review.md
βββ test-reports/
βββ acceptance-tests-epic2.html
Epic 3 Final Deliverables
deliverables/epic-3/
βββ research-artifacts/
β βββ personas.pdf
β βββ journey-maps.pdf
β βββ usability-findings.pdf
βββ design-system/
β βββ storybook-export/
βββ demo-videos/
β βββ continuous-discovery.mp4
βββ test-reports/
βββ acceptance-tests-epic3.html
π Learning Resources
Recommended Reading During Implementation
- 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
π Version History
| Version | Date | Changes | Author |
|---|---|---|---|
| 1.0 | Dec 2024 | Initial comprehensive plan | AI Assistant |
END OF HANDOFF DOCUMENT
Save this to: docs/implementation-plan/IMPLEMENTATION_HANDOFF.md