Redesign infrastructure to hypercluster scale with 4-level hierarchy

Replace flat DataCenter/Rack model with Cluster > Campus > Data Center > Racks
hierarchy. Individual rack entities eliminated in favor of statistical batch
simulation using deployment cohorts. Adds tiered network topology (ToR/agg/core)
with proportional outage model, DC retrofitting, bulk operations, and drill-down
UI navigation with breadcrumbs. First cluster and campus are free to preserve
early game flow. Rebalances starting economy ($600K), funding rounds, and
cohort scaling for hypercluster-scale gameplay.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

packages/game-engine/src/data/techTree.ts

@@ -65,7 +65,7 @@ export const TECH_TREE: ResearchNode[] = [
   {
     id: 'dc-engineering-ii',
     name: 'DC Engineering II',
-    description: 'Advanced facility design unlocks Medium data centers (30 slots, 200kW).',
+    description: 'Advanced facility design unlocks Medium data centers (500 slots, 3000kW).',
     era: 'startup',
     category: 'infrastructure',
     prerequisites: ['advanced-cooling'],
@@ -75,7 +75,7 @@ export const TECH_TREE: ResearchNode[] = [
   {
     id: 'dc-engineering-iii',
     name: 'DC Engineering III',
-    description: 'Large-scale facility design unlocks Large data centers (60 slots, 500kW).',
+    description: 'Large-scale facility design unlocks Large data centers (1000 slots, 7000kW).',
     era: 'scaleup',
     category: 'infrastructure',
     prerequisites: ['dc-engineering-ii'],
@@ -85,7 +85,7 @@ export const TECH_TREE: ResearchNode[] = [
   {
     id: 'dc-engineering-iv',
     name: 'DC Engineering IV',
-    description: 'Mega-scale campus design unlocks Mega data centers (120 slots, 1200kW).',
+    description: 'Mega-scale campus design unlocks Mega data centers (1500 slots, 12000kW).',
     era: 'bigtech',
     category: 'infrastructure',
     prerequisites: ['dc-engineering-iii'],
@@ -102,6 +102,36 @@ export const TECH_TREE: ResearchNode[] = [
     cost: { researchPoints: 1, compute: 10, ticks: 90 },
     effects: [{ type: 'cost_reduction', target: 'test_failure_rate', value: 0.25 }],
   },
+  {
+    id: 'network-engineering-i',
+    name: 'Network Engineering I',
+    description: 'Improved network switching reduces Tier-1 failure rate by 40%.',
+    era: 'scaleup',
+    category: 'infrastructure',
+    prerequisites: ['redundancy-protocols'],
+    cost: { researchPoints: 2, compute: 20, ticks: 150 },
+    effects: [{ type: 'cost_reduction', target: 'network_failure_rate', value: 0.4 }],
+  },
+  {
+    id: 'network-engineering-ii',
+    name: 'Network Engineering II',
+    description: 'Spine-leaf architecture reduces all network failure rates by 50%.',
+    era: 'bigtech',
+    category: 'infrastructure',
+    prerequisites: ['network-engineering-i'],
+    cost: { researchPoints: 4, compute: 80, ticks: 360 },
+    effects: [{ type: 'cost_reduction', target: 'network_failure_rate', value: 0.5 }],
+  },
+  {
+    id: 'rapid-deployment',
+    name: 'Rapid Deployment',
+    description: 'Streamlined procurement pipelines reduce deployment times by 20%.',
+    era: 'scaleup',
+    category: 'infrastructure',
+    prerequisites: ['dc-engineering-ii'],
+    cost: { researchPoints: 2, compute: 25, ticks: 180 },
+    effects: [{ type: 'efficiency_boost', target: 'pipeline_speed', value: 0.2 }],
+  },
   {
     id: 'distributed-training',
     name: 'Distributed Training',