§8 · Implementation

GI is designed to be practical.

A blueprint for real engineering organizations moving from Agile/DevOps to GI: staffing, responsibilities, phased adoption, tooling, and common failure modes.

§8.1 · Transition

Three steps for immediate throughput.

These three structural changes raise throughput dramatically, even before any staffing adjustments.

Replace multi-person code review with a single semantic gate

The Reviewer becomes the sole human approver.

Move decomposition into the Execution Plan

Planner + AI generate the plan; Builders no longer break tasks manually.

Replace QA gating with PAT + ring deployments

Releases become continuous; QA becomes a system-level function.

§8.2–8.3 · Staffing

Small teams, sharp roles.

Execution is cheap, semantic clarity is expensive. GI teams stay small on purpose and scale linearly across domains without coordination drag.

A balanced GI team per domain

Reviewer capacity is the throughput ceiling. Sizing follows ratios, not fixed counts.

→ Reviewer capacity ≥ Builder capacity

→ ≥ 2 Planner-eligible per Domain

→ ~1 PAT per 3–5 active Builder seats

Planner

Architect

Senior · Staff · Principal

Executors

Builders

Mid-level to senior

Semantic gate

Reviewers

Senior ICs

Continuous assurance

PAT

Hybrid QA / engineering

Apprenticeship

Junior

Pairing + PAT participation

Role names describe modes of work, not job titles. A certified engineer can pick up Builder or Reviewer tasks on Tracks they hold the right cert for, subject to per-artifact separation of duties.

§8.4 · Phased adoption

Five phases, each with immediate gains.

Phase 0

Define Domains

Assign Architects. Establish invariants, boundaries, and contracts.

Phase 1

Introduce roles

Planner / Builder / Reviewer. Reassign responsibilities and adopt Execution Plans.

Phase 2

Adopt Ring Deployments

Eliminate release windows and sprint hardening phases.

Phase 3

Shift QA to PAT

PAT becomes continuous system validation, not gating.

Phase 4

Scale semantic oversight

Increase Reviewer capacity, refine AI agents, expand invariant coverage.

§8.5 · Tooling

What GI requires.

Tooling amplifies semantic capacity and minimizes mechanical overhead.

Agentic AI

·Planning + execution agents
·Execution Plan templates

CI / CD

·Tests + invariant enforcement
·Automated ring deployment

Observability

·Logs · metrics · tracing
·Anomaly detection

PAT operations

·Regression suite tools
·Exploratory test harness

Review surface

·Lightweight semantic review UI
·Cross-contract diff analyzers

Safety

·Domain invariant frameworks
·Auto-rollback tooling

§8.6 · Cultural prerequisites

→Semantic clarity is the new bottleneck
→Batching destroys velocity
→Role boundaries prevent ambiguity
→Review throughput is the gating function
→PAT is continuous, not a release gate
→Architects own domains end-to-end
→AI handles mechanical work

Teams that resist these principles slide into "AI-assisted Agile," which is the worst of both worlds.

§8.7 · Anti-patterns

×Shared domain ownership (ambiguity)
×Multi-domain PRs (coupling)
×PAT operating as a release gate (batching)
×Builder scope creep (semantic drift)
×Reviewer bottlenecks (insufficient throughput)
×Sprint ceremonies as "training wheels"
×Planner/Builder/Reviewer role bleed