Phase 0
AI Foundation
Invest the first month in AI toolchain setup, infrastructure scaffolding, and a pilot migration to validate the approach before touching core domains.
2.0
Effective MM
M1
Duration
×1.0
AI Multiplier
2.0 MM
Raw Capacity
-2.0 MM
Overhead
2.0 MM
Effective
0
Services Live
AI Application in This Phase
What AI Does
AI analyze legacy codebase → auto-map dependencies, identify bounded contexts. AI generate IaC templates, CI/CD pipelines. Pilot migration of Communications module (staging only).
Expected Impact
Save ~2 weeks manual analysis. Establish baseline metrics for AI migration pipeline.
Key Deliverables
✓AI toolchain deployed (Cursor Pro, Claude Code, CodeRabbit)
✓CI/CD pipeline (GitHub Actions)
✓Infrastructure as Code (Bicep templates)
✓YARP API Gateway configured with Strangler Fig routing
✓Communications service pilot migration (staging)
✓Shared kernel NuGet package
✓Docker + Azure Container Apps templates
Week-by-Week Breakdown
| Period | D1 – Tech Lead | D2 – Sr Backend | D3 – Backend | D4 – Fullstack | D5 – FE/DevOps | Output |
|---|---|---|---|---|---|---|
| W1–2 | AI toolchain setup (Cursor, prompts) | AI training + legacy Travel analysis | AI training + legacy Event analysis | AI training + React design system POC | CI/CD pipelines (GitHub Actions) | AI ready, legacy analyzed |
| W3–4 | Shared Kernel + API Gateway scaffold | Travel domain modeling | Event domain modeling | Design system base components | Docker Compose + IaC (Bicep) + ACR | Gateway MVP, Infra ready |
Exit Criteria / Go-No-Go Gate
☐CI/CD pipeline green (GitHub Actions → Docker → ACR → staging)
☐Docker local development environment working for all engineers
☐All 5 engineers proficient in agentic AI workflow
☐Pilot: Communications service deployed to staging via AI pipeline
☐AI multiplier baseline measured and calibrated
☐Prompt library v1 committed to git
☐Legacy codebase fully indexed for AI queries
Milestones (4)
M1
AI Toolchain Deployed
Cursor Pro, Claude Code, CodeRabbit operational for all 5 engineers
M1
CI/CD + IaC Ready
GitHub Actions pipelines + Bicep templates for all environments
M1
YARP Gateway Live
API Gateway with Strangler Fig routing configured, all traffic proxied
M1
Comms Pilot (Staging)
Communications service migrated to staging — validates migration pipeline
Risk Notes
AI setup investment delays first production delivery by ~2 weeks, but compounds into 63% more capacity over remaining months. If AI tooling fails to deliver, fallback to 1.4x multiplier (L2 assistant level).