feat: Add Academy, Whistleblower, Incidents SDK modules, pitch-deck, blog and CI/CD config

- Academy, Whistleblower, Incidents frontend pages with API proxies and types
- Vendor compliance API proxy route
- Go backend handlers and models for all new SDK modules
- Investor pitch-deck app with interactive slides
- Blog section with DSGVO, AI Act, NIS2, glossary articles
- MkDocs documentation site
- CI/CD pipelines (Woodpecker, GitHub Actions), security scanning config
- Planning and implementation documentation

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

admin-v2/.woodpecker/auto-fix.yml

@@ -0,0 +1,132 @@
+# Woodpecker CI Auto-Fix Pipeline
+# Automatische Reparatur fehlgeschlagener Tests
+#
+# Laeuft taeglich um 2:00 Uhr nachts
+# Analysiert offene Backlog-Items und versucht automatische Fixes
+
+when:
+  - event: cron
+    cron: "0 2 * * *"  # Taeglich um 2:00 Uhr
+
+clone:
+  git:
+    image: woodpeckerci/plugin-git
+    settings:
+      depth: 1
+    extra_hosts:
+      - macmini:192.168.178.100
+
+steps:
+  # ========================================
+  # 1. Fetch Failed Tests from Backlog
+  # ========================================
+
+  fetch-backlog:
+    image: curlimages/curl:latest
+    commands:
+      - |
+        curl -s "http://backend:8000/api/tests/backlog?status=open&priority=critical" \
+          -o backlog-critical.json
+        curl -s "http://backend:8000/api/tests/backlog?status=open&priority=high" \
+          -o backlog-high.json
+      - echo "=== Kritische Tests ==="
+      - cat backlog-critical.json | head -50
+      - echo "=== Hohe Prioritaet ==="
+      - cat backlog-high.json | head -50
+
+  # ========================================
+  # 2. Analyze and Classify Errors
+  # ========================================
+
+  analyze-errors:
+    image: python:3.12-slim
+    commands:
+      - pip install --quiet jq-py
+      - |
+        python3 << 'EOF'
+        import json
+        import os
+
+        def classify_error(error_type, error_msg):
+            """Klassifiziert Fehler nach Auto-Fix-Potential"""
+            auto_fixable = {
+                'nil_pointer': 'high',
+                'import_error': 'high',
+                'undefined_variable': 'medium',
+                'type_error': 'medium',
+                'assertion': 'low',
+                'timeout': 'low',
+                'logic_error': 'manual'
+            }
+            return auto_fixable.get(error_type, 'manual')
+
+        # Lade Backlog
+        try:
+            with open('backlog-critical.json') as f:
+                critical = json.load(f)
+            with open('backlog-high.json') as f:
+                high = json.load(f)
+        except:
+            print("Keine Backlog-Daten gefunden")
+            exit(0)
+
+        all_items = critical.get('items', []) + high.get('items', [])
+
+        auto_fix_candidates = []
+        for item in all_items:
+            fix_potential = classify_error(
+                item.get('error_type', 'unknown'),
+                item.get('error_message', '')
+            )
+            if fix_potential in ['high', 'medium']:
+                auto_fix_candidates.append({
+                    'id': item.get('id'),
+                    'test_name': item.get('test_name'),
+                    'error_type': item.get('error_type'),
+                    'fix_potential': fix_potential
+                })
+
+        print(f"Auto-Fix Kandidaten: {len(auto_fix_candidates)}")
+        with open('auto-fix-candidates.json', 'w') as f:
+            json.dump(auto_fix_candidates, f, indent=2)
+        EOF
+    depends_on:
+      - fetch-backlog
+
+  # ========================================
+  # 3. Generate Fix Suggestions (Placeholder)
+  # ========================================
+
+  generate-fixes:
+    image: python:3.12-slim
+    commands:
+      - |
+        echo "Auto-Fix Generation ist in Phase 4 geplant"
+        echo "Aktuell werden nur Vorschlaege generiert"
+
+        # Hier wuerde Claude API oder anderer LLM aufgerufen werden
+        # python3 scripts/auto-fix-agent.py auto-fix-candidates.json
+
+        echo "Fix-Vorschlaege wuerden hier generiert werden"
+    depends_on:
+      - analyze-errors
+
+  # ========================================
+  # 4. Report Results
+  # ========================================
+
+  report-results:
+    image: curlimages/curl:latest
+    commands:
+      - |
+        curl -X POST "http://backend:8000/api/tests/auto-fix/report" \
+          -H "Content-Type: application/json" \
+          -d "{
+            \"run_date\": \"$(date -Iseconds)\",
+            \"candidates_found\": $(cat auto-fix-candidates.json | wc -l),
+            \"fixes_attempted\": 0,
+            \"fixes_successful\": 0,
+            \"status\": \"analysis_only\"
+          }" || true
+    when:
+      status: [success, failure]