Dashboard 2.0: Phase 1 Implementation Roadmap

Complete Multi-Tenant SaaS Solution

Document Version: 1.0 Created: 2025-11-28 Status: Planning Target Completion: 16 weeks (Weeks 1-16 from cloud-migration-architecture.md)

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Executive Summary

This roadmap outlines the complete implementation plan to transform Dashboard 2.0 from a single-tenant POC into a production-ready multi-tenant SaaS platform. The solution will support multiple organizations, each managing multiple teams, projects, and git repositories.

Key Objectives:

• Multi-tenant data isolation with Row-Level Security (RLS)
• Generic repository scanner (works for ANY GitHub organization)
• Webhook-based auto-ingestion for real-time synchronization
• OAuth2/JWT authentication with role-based access control
• PostgreSQL migration with horizontal scalability
• GKE deployment with autoscaling and 99.9% uptime

Investment: $180K development + $2.4K/month operations Timeline: 16 weeks (4 months) Team: 3 full-stack engineers + 1 DevOps engineer

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Current State Assessment

✅ Completed (POC Status)

1. Database Schema v1.0 - SQLite with hierarchical project support

   • 45 projects imported (1 master + 6 categories + 38 submodules)
   • parent_id and repo_path columns for hierarchy
   • Dashboard 2.0 POC: 8 tasks, 87.5% complete

2. Backend API v2.0 - FastAPI with TF-IDF and AI linking

   • /api/v2/projects - List projects with hierarchy
   • /api/v2/tasks - List tasks with linking
   • /api/v2/commits - Commit-task association
   • /api/v2/link-commit-tasks - Hybrid AI + TF-IDF linking

3. Frontend Dashboard - GPS navigation UI

   • Real-time task filtering
   • Hierarchical project tree
   • Commit-task relationship visualization

4. CODITECT Standards v1.0 - YAML frontmatter format

   • tasklist.md parsing
   • project-plan.md integration
   • Task ID format: TASK-{SHORT_NAME}-{NUMBER}

5. Repository Audit Complete

   • 60 GitHub repos catalogued
   • 48 local submodules verified
   • 28 projects with TASKLIST/PROJECT-PLAN identified
   • Client vs platform repos distinguished

🔴 Critical Gaps (Blocking Production)

1. No Multi-Tenant Isolation

   • Current: Single SQLite database, hardcoded to coditect-ai
   • Required: tenant_id on all tables, RLS policies, per-tenant filtering

2. Hardcoded CODITECT-Specific Import

   • Current: import_all_projects.py assumes CODITECT submodule structure
   • Required: Generic RepositoryScanner for ANY GitHub organization

3. Manual Repository Import

   • Current: Python script must be run manually
   • Required: Webhook-based auto-ingestion on repository connection

4. No Authentication/Authorization

   • Current: Open API with no access control
   • Required: OAuth2 + JWT with role-based permissions (owner, admin, member, viewer)

5. SQLite Not Production-Ready

   • Current: Single-file database, no concurrent writes
   • Required: PostgreSQL with connection pooling, replication, backups

6. No Deployment Infrastructure

   • Current: Local development only
   • Required: GKE deployment with autoscaling, monitoring, CI/CD

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Phase 1 Architecture Overview

Multi-Tenant Data Model

-- Core tenant table
CREATE TABLE tenants (
    tenant_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    organization_name VARCHAR(255) NOT NULL,
    subdomain VARCHAR(63) UNIQUE NOT NULL,  -- acme.dashboard.app
    plan_tier VARCHAR(50) NOT NULL,  -- free, pro, enterprise
    max_users INTEGER NOT NULL DEFAULT 5,
    max_projects INTEGER NOT NULL DEFAULT 3,
    max_repositories INTEGER NOT NULL DEFAULT 10,
    stripe_customer_id VARCHAR(255),
    subscription_status VARCHAR(50) DEFAULT 'trial',
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW()
);

-- Users (multi-tenant)
CREATE TABLE users (
    user_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    tenant_id UUID NOT NULL REFERENCES tenants(tenant_id) ON DELETE CASCADE,
    email VARCHAR(255) NOT NULL,
    password_hash VARCHAR(255) NOT NULL,
    full_name VARCHAR(255),
    role VARCHAR(50) NOT NULL DEFAULT 'member',  -- owner, admin, member, viewer
    is_active BOOLEAN DEFAULT TRUE,
    last_login TIMESTAMP,
    created_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(tenant_id, email)
);

-- Row-Level Security (RLS)
ALTER TABLE users ENABLE ROW LEVEL SECURITY;
CREATE POLICY users_tenant_isolation ON users
    USING (tenant_id = current_setting('app.current_tenant_id')::uuid);

-- Repositories (multi-repo support)
CREATE TABLE repositories (
    repository_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    tenant_id UUID NOT NULL REFERENCES tenants(tenant_id) ON DELETE CASCADE,
    provider VARCHAR(50) NOT NULL,  -- github, gitlab, bitbucket
    provider_repo_id INTEGER NOT NULL,
    full_name VARCHAR(255) NOT NULL,  -- "owner/repo"
    clone_url TEXT NOT NULL,
    default_branch VARCHAR(255) DEFAULT 'main',
    is_active BOOLEAN DEFAULT TRUE,
    webhook_id VARCHAR(255),
    webhook_secret VARCHAR(255),
    last_synced_at TIMESTAMP,
    created_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(tenant_id, provider, provider_repo_id)
);

-- Projects (extend existing with tenant_id)
ALTER TABLE projects ADD COLUMN tenant_id UUID REFERENCES tenants(tenant_id) ON DELETE CASCADE;
ALTER TABLE projects ADD COLUMN repository_id UUID REFERENCES repositories(repository_id) ON DELETE CASCADE;

-- Tasks (extend existing with tenant_id)
ALTER TABLE tasks ADD COLUMN tenant_id UUID REFERENCES tenants(tenant_id) ON DELETE CASCADE;

-- Commits (extend existing with tenant_id)
ALTER TABLE commits ADD COLUMN tenant_id UUID REFERENCES tenants(tenant_id) ON DELETE CASCADE;
ALTER TABLE commits ADD COLUMN repository_id UUID REFERENCES repositories(repository_id) ON DELETE CASCADE;

-- All tables get RLS
ALTER TABLE projects ENABLE ROW LEVEL SECURITY;
ALTER TABLE tasks ENABLE ROW LEVEL SECURITY;
ALTER TABLE commits ENABLE ROW LEVEL SECURITY;
ALTER TABLE repositories ENABLE ROW LEVEL SECURITY;

Generic Repository Scanner Architecture

from abc import ABC, abstractmethod
from typing import List, Dict, Optional
from dataclasses import dataclass
from pathlib import Path
import git

@dataclass
class DetectedProject:
    """Generic project metadata"""
    name: str
    description: str
    project_type: str  # coditect, npm, python, rust, generic
    total_tasks: int
    completed_tasks: int
    status: str
    repo_path: str
    parent_path: Optional[str] = None

class ProjectDetector(ABC):
    """Base class for project type detection"""

    @abstractmethod
    def can_detect(self, repo_path: Path) -> bool:
        """Check if this detector can handle the repository"""
        pass

    @abstractmethod
    def detect(self, repo_path: Path) -> Optional[DetectedProject]:
        """Extract project metadata"""
        pass

class CODITECTProjectDetector(ProjectDetector):
    """Detect CODITECT Standards v1.0 projects"""

    def can_detect(self, repo_path: Path) -> bool:
        return (repo_path / "tasklist.md").exists()

    def detect(self, repo_path: Path) -> Optional[DetectedProject]:
        # Parse YAML frontmatter from tasklist.md
        # Extract project metadata
        # Return DetectedProject instance
        pass

class NPMProjectDetector(ProjectDetector):
    """Detect npm/Node.js projects"""

    def can_detect(self, repo_path: Path) -> bool:
        return (repo_path / "package.json").exists()

    def detect(self, repo_path: Path) -> Optional[DetectedProject]:
        # Parse package.json
        # Extract name, description, version
        # Count TODO comments in source files
        pass

class PythonProjectDetector(ProjectDetector):
    """Detect Python projects"""

    def can_detect(self, repo_path: Path) -> bool:
        return (
            (repo_path / "pyproject.toml").exists() or
            (repo_path / "setup.py").exists() or
            (repo_path / "requirements.txt").exists()
        )

    def detect(self, repo_path: Path) -> Optional[DetectedProject]:
        # Parse pyproject.toml or setup.py
        # Extract metadata
        # Count TODO/FIXME comments
        pass

class RepositoryScanner:
    """Generic repository scanner for ANY organization"""

    def __init__(self, tenant_id: str, provider: str = "github"):
        self.tenant_id = tenant_id
        self.provider = provider
        self.detectors = [
            CODITECTProjectDetector(),
            NPMProjectDetector(),
            PythonProjectDetector(),
            # Add more detectors as needed
        ]

    def scan_repository(self, repo_url: str, local_path: Path) -> List[DetectedProject]:
        """
        Scan a repository and detect all projects
        Works for:
        - Single-project repos (most common)
        - Mono-repos with multiple projects
        - CODITECT master repos with submodules
        """
        projects = []

        # Clone or update repository
        if not local_path.exists():
            repo = git.Repo.clone_from(repo_url, local_path)
        else:
            repo = git.Repo(local_path)
            repo.remotes.origin.pull()

        # Recursively scan for projects
        for root, dirs, files in os.walk(local_path):
            root_path = Path(root)

            # Try each detector
            for detector in self.detectors:
                if detector.can_detect(root_path):
                    project = detector.detect(root_path)
                    if project:
                        project.tenant_id = self.tenant_id
                        projects.append(project)
                    break  # Only one detector per directory

        return projects

    def import_to_database(self, projects: List[DetectedProject], db_conn):
        """Import detected projects into database"""
        for project in projects:
            # Insert or update project
            # Associate with tenant and repository
            # Import tasks if available
            pass

Webhook-Based Ingestion System

from fastapi import APIRouter, Request, HTTPException, Header
import hmac
import hashlib

router = APIRouter(prefix="/api/v2/webhooks")

@router.post("/github")
async def github_webhook(
    request: Request,
    x_hub_signature_256: str = Header(None)
):
    """
    GitHub webhook handler for repository events

    Events handled:
    - push: Sync commits and detect new tasks
    - pull_request: Create linked tasks
    - issues: Import as tasks
    - repository: New repo connected
    """
    # Verify webhook signature
    body = await request.body()
    secret = get_webhook_secret(tenant_id)  # From database

    expected_signature = "sha256=" + hmac.new(
        secret.encode(),
        body,
        hashlib.sha256
    ).hexdigest()

    if not hmac.compare_digest(expected_signature, x_hub_signature_256):
        raise HTTPException(status_code=403, detail="Invalid signature")

    # Parse payload
    payload = await request.json()
    event_type = request.headers.get("X-GitHub-Event")

    if event_type == "push":
        await handle_push_event(payload)
    elif event_type == "pull_request":
        await handle_pull_request_event(payload)
    elif event_type == "issues":
        await handle_issues_event(payload)
    elif event_type == "repository":
        await handle_repository_event(payload)

    return {"status": "success"}

async def handle_push_event(payload: dict):
    """Sync commits and detect new tasks"""
    repository = payload["repository"]
    commits = payload["commits"]

    # Find repository in database
    repo = await db.get_repository_by_provider_id(
        provider="github",
        provider_repo_id=repository["id"]
    )

    if not repo:
        return  # Repository not connected

    # Import commits
    for commit_data in commits:
        commit = await db.create_commit(
            tenant_id=repo.tenant_id,
            repository_id=repo.repository_id,
            sha=commit_data["id"],
            message=commit_data["message"],
            author_email=commit_data["author"]["email"],
            committed_at=commit_data["timestamp"]
        )

        # Auto-link to tasks using AI + TF-IDF
        await link_commit_to_tasks(commit)

    # Trigger repository scan for new TASKLIST files
    scanner = RepositoryScanner(repo.tenant_id)
    projects = await scanner.scan_repository(
        repo_url=repository["clone_url"],
        local_path=Path(f"/tmp/repos/{repo.repository_id}")
    )
    await scanner.import_to_database(projects, db)

async def handle_repository_event(payload: dict):
    """Handle new repository connection"""
    if payload["action"] == "created":
        # Auto-import repository for tenant
        # Set up webhook
        # Trigger initial scan
        pass

---

Implementation Phases

Phase 1A: Multi-Tenant POC Extension (Weeks 1-2)

Goal: Prove multi-tenant isolation works in SQLite before migrating to PostgreSQL

Tasks:

1. ✅ Add tenant_id columns to all tables (SQLite)
2. ✅ Create tenants table with organization metadata
3. ✅ Seed database with 3 test tenants:
   • coditect-ai (existing CODITECT platform data)
   • find-me-a-mechanic (client project)
   • hookup-app (client project)
4. ✅ Migrate existing data to coditect-ai tenant
5. ✅ Update all API endpoints with tenant filtering
6. ✅ Add tenant selection to frontend dashboard
7. ✅ Test data isolation (verify tenant A cannot see tenant B's data)

Deliverables:

• Multi-tenant SQLite database with RLS simulation
• Updated API with ?tenant_id= parameter
• Frontend tenant selector
• Test suite proving isolation

Success Criteria:

• All 3 tenants have isolated data
• Dashboard shows different projects per tenant
• API returns 403 when accessing other tenant's data

---

Phase 1B: Generic Repository Scanner (Weeks 2-3)

Goal: Build scanner that works for ANY GitHub organization, not just CODITECT

Tasks:

1. ✅ Create ProjectDetector interface
2. ✅ Implement CODITECTProjectDetector (existing functionality)
3. ✅ Implement NPMProjectDetector
4. ✅ Implement PythonProjectDetector
5. ✅ Implement RustProjectDetector
6. ✅ Implement GenericProjectDetector (fallback)
7. ✅ Build RepositoryScanner with detector chain
8. ✅ Test with multiple repository types:
   • coditect-rollout-master (CODITECT mono-repo)
   • find-me-a-mechanic (npm project)
   • hookup-app (npm project)
   • random GitHub repo (generic)

Deliverables:

• RepositoryScanner class with pluggable detectors
• 5+ project type detectors
• Test suite with diverse repositories
• Documentation for adding new detectors

Success Criteria:

• Scans CODITECT repo and imports 45 projects (existing behavior)
• Scans npm repo and imports package.json metadata
• Scans Python repo and imports pyproject.toml metadata
• Fallback detector handles unknown project types

---

Phase 1C: Webhook-Based Onboarding (Weeks 3-4)

Goal: Auto-import repositories via GitHub webhooks instead of manual scripts

Tasks:

1. ✅ Create /api/v2/webhooks/github endpoint
2. ✅ Implement webhook signature verification (HMAC-SHA256)
3. ✅ Handle push events (sync commits)
4. ✅ Handle pull_request events (create linked tasks)
5. ✅ Handle issues events (import as tasks)
6. ✅ Handle repository events (new repo connection)
7. ✅ Create repositories table with webhook metadata
8. ✅ Build GitHub App for OAuth2 authentication
9. ✅ Test end-to-end:
   • Connect repository
   • Webhook auto-created
   • Push commit
   • Commit appears in dashboard

Deliverables:

• Webhook endpoint with event handlers
• GitHub App for tenant authentication
• repositories table with webhook_id, webhook_secret
• Real-time commit synchronization
• Test suite with webhook simulation

Success Criteria:

• User connects GitHub repository in UI
• Webhook automatically created
• Push triggers auto-import of commits
• Dashboard updates in real-time (<5 seconds)

---

Phase 2: PostgreSQL Migration (Weeks 5-8)

Goal: Migrate from SQLite to production-ready PostgreSQL with RLS

Tasks:

1. ✅ Provision Cloud SQL PostgreSQL instance
2. ✅ Create migration scripts (SQLite → PostgreSQL)
3. ✅ Implement Row-Level Security (RLS) policies
4. ✅ Set up connection pooling (PgBouncer)
5. ✅ Configure replication (1 primary + 1 read replica)
6. ✅ Set up automated backups (daily + point-in-time recovery)
7. ✅ Update API to use PostgreSQL
8. ✅ Migrate all 3 test tenants
9. ✅ Performance testing (100+ concurrent users)
10. ✅ Load testing (10,000+ projects, 100,000+ tasks)

Deliverables:

• Cloud SQL PostgreSQL instance (production config)
• Migration scripts with rollback support
• RLS policies on all tables
• Performance benchmarks
• Disaster recovery documentation

Success Criteria:

• All data migrated without loss
• RLS policies enforce tenant isolation
• API latency <200ms for 95th percentile
• Database handles 1000+ concurrent connections
• Backup/restore tested successfully

---

Phase 3: Authentication & Authorization (Weeks 9-10)

Goal: Implement OAuth2 + JWT with role-based access control

Tasks:

1. ✅ Set up OAuth2 provider (Google, GitHub)
2. ✅ Implement JWT token generation/validation
3. ✅ Create user registration flow
4. ✅ Create login flow with MFA support
5. ✅ Implement role-based permissions:
   • Owner: Full access, billing, delete organization
   • Admin: Manage users, repositories, settings
   • Member: Create/edit projects, tasks, commits
   • Viewer: Read-only access
6. ✅ Add permission checks to all API endpoints
7. ✅ Build user management UI
8. ✅ Test RBAC with all 4 roles

Deliverables:

• OAuth2 + JWT authentication system
• User registration and login flows
• Role-based permission system
• User management UI
• Security audit report

Success Criteria:

• Users can sign up with Google/GitHub
• JWT tokens expire after 1 hour (refresh after 7 days)
• RBAC enforces permissions correctly
• Viewer cannot create/edit resources
• Owner can delete organization

---

Phase 4: GKE Deployment (Weeks 11-12)

Goal: Deploy to Google Kubernetes Engine with autoscaling

Tasks:

1. ✅ Create GKE cluster (3 nodes, n1-standard-2)
2. ✅ Build Docker images for backend and frontend
3. ✅ Push images to Google Container Registry
4. ✅ Create Kubernetes manifests:
   • Deployment (backend, frontend)
   • Service (LoadBalancer)
   • ConfigMap (environment variables)
   • Secret (database credentials, JWT secret)
   • HorizontalPodAutoscaler (2-10 pods)
5. ✅ Set up Ingress with TLS (Let's Encrypt)
6. ✅ Configure Cloud CDN for static assets
7. ✅ Deploy to staging environment
8. ✅ Smoke tests and load tests
9. ✅ Deploy to production

Deliverables:

• GKE cluster with autoscaling
• Docker images in GCR
• Kubernetes manifests
• TLS certificate from Let's Encrypt
• Deployment documentation

Success Criteria:

• Application accessible at https://dashboard.coditect.ai
• Autoscaling works (scales from 2 to 10 pods under load)
• TLS certificate valid
• CDN reduces frontend load time by 50%
• Zero-downtime deployments

---

Phase 5: Monitoring & Observability (Weeks 13-14)

Goal: Complete visibility into system behavior and performance

Tasks:

1. ✅ Set up Google Cloud Monitoring
2. ✅ Create custom dashboards:
   • System health (CPU, memory, disk, network)
   • Application metrics (requests/sec, latency, errors)
   • Business metrics (tenants, users, projects, tasks)
3. ✅ Configure alerts:
   • Error rate >1%
   • Latency >500ms
   • Database connections >80%
   • Disk usage >90%
4. ✅ Set up Google Cloud Logging
5. ✅ Implement structured logging in application
6. ✅ Create log-based metrics
7. ✅ Set up Google Cloud Trace for request tracing
8. ✅ Test end-to-end observability

Deliverables:

• Cloud Monitoring dashboards
• Alert policies with PagerDuty integration
• Structured logging with JSON format
• Distributed tracing with Cloud Trace
• Runbook for common incidents

Success Criteria:

• Dashboards show real-time metrics
• Alerts trigger within 1 minute of issue
• Logs queryable with structured fields
• Traces show end-to-end request flow
• Mean time to detection (MTTD) <2 minutes

---

Phase 6: CI/CD & Production Hardening (Weeks 15-16)

Goal: Automated deployments and production-ready infrastructure

Tasks:

1. ✅ Set up GitHub Actions for CI/CD:
   • Run tests on every PR
   • Build Docker images on merge to main
   • Deploy to staging automatically
   • Deploy to production on manual approval
2. ✅ Implement database migrations with zero downtime
3. ✅ Set up feature flags (LaunchDarkly or custom)
4. ✅ Create disaster recovery plan:
   • Database backup/restore procedures
   • Incident response playbook
   • Rollback procedures
5. ✅ Security hardening:
   • OWASP Top 10 audit
   • Dependency scanning (Dependabot)
   • Container scanning (Trivy)
   • Secrets scanning (GitGuardian)
6. ✅ Performance optimization:
   • Database query optimization
   • API response caching
   • Frontend code splitting
7. ✅ Load testing (simulate 1000+ concurrent users)
8. ✅ Production readiness review

Deliverables:

• GitHub Actions workflows
• Database migration system
• Feature flag system
• Disaster recovery documentation
• Security audit report
• Performance benchmarks
• Production readiness checklist

Success Criteria:

• Deployments complete in <10 minutes
• Zero-downtime migrations tested
• Security audit passes with no critical issues
• Load tests handle 1000 concurrent users
• API latency <200ms under load
• Production readiness review approved

---

Resource Requirements

Team

Engineering Team (3 Full-Stack Engineers):

• Engineer 1: Backend (Python/FastAPI, PostgreSQL, RLS)
• Engineer 2: Frontend (React, TypeScript, UI/UX)
• Engineer 3: Full-Stack (Repository Scanner, Webhooks, Integration)

DevOps Team (1 Engineer):

• GKE deployment and management
• CI/CD pipelines
• Monitoring and observability
• Database administration

Total: 4 engineers for 16 weeks

Budget

Development Costs:

• 3 Full-Stack Engineers: $150K/month × 3 × 4 months = $180K
• DevOps Engineer (50% time): $150K/month × 0.5 × 4 months = $30K
• Total Development: $210K

Infrastructure Costs (4 months):

• Cloud SQL PostgreSQL: $200/month × 4 = $800
• GKE Cluster (3 nodes): $150/month × 4 = $600
• Load Balancer + Ingress: $20/month × 4 = $80
• Cloud Storage (backups): $10/month × 4 = $40
• Cloud Monitoring: $50/month × 4 = $200
• Total Infrastructure: $1,720

Recurring Costs (Annual):

• Cloud SQL PostgreSQL: $200/month × 12 = $2,400
• GKE Cluster: $150/month × 12 = $1,800
• Load Balancer: $20/month × 12 = $240
• Cloud Storage: $10/month × 12 = $120
• Monitoring: $50/month × 12 = $600
• Total Annual: $5,160

Grand Total:

• Development: $210K (one-time)
• Infrastructure (4 months): $1,720
• Total Investment: $211,720

---

Success Metrics

Technical Metrics

Metric	Current	Phase 1 Target	Phase 6 Target
Tenant Isolation	None	100% (RLS)	100% (RLS + audit)
API Latency (p95)	N/A	<500ms	<200ms
Database Throughput	N/A	100 req/sec	1000 req/sec
Uptime	N/A	99%	99.9%
Deployment Time	N/A	<30 min	<10 min
Test Coverage	0%	60%	80%
Security Score	N/A	B+	A

Business Metrics

Metric	Month 1	Month 3	Month 6
Active Tenants	3 (test)	10	50
Total Users	5	50	250
Projects Tracked	100	500	2,500
Tasks Managed	500	2,500	12,500
Repositories Connected	10	50	250
Monthly Active Users	N/A	40	200
Customer Satisfaction	N/A	4.0/5	4.5/5

Quality Gates

Phase 1 Exit Criteria:

• ✅ Multi-tenant isolation working (SQLite)
• ✅ 3 test tenants with isolated data
• ✅ Generic repository scanner works for 3+ project types
• ✅ Webhook-based onboarding end-to-end tested

Phase 2 Exit Criteria:

• ✅ PostgreSQL migration complete
• ✅ RLS policies enforce isolation
• ✅ Performance benchmarks met
• ✅ Backup/restore tested

Phase 3 Exit Criteria:

• ✅ OAuth2 + JWT working
• ✅ RBAC enforces permissions
• ✅ Security audit passed

Phase 4 Exit Criteria:

• ✅ GKE deployment successful
• ✅ Autoscaling works
• ✅ TLS certificate valid
• ✅ Zero-downtime deployments

Phase 5 Exit Criteria:

• ✅ Monitoring dashboards operational
• ✅ Alerts configured and tested
• ✅ Distributed tracing working

Phase 6 Exit Criteria:

• ✅ CI/CD pipelines operational
• ✅ Disaster recovery plan tested
• ✅ Security audit passed
• ✅ Load tests passed
• ✅ Production readiness approved

---

Risk Management

High-Risk Areas

1. PostgreSQL Migration (Phase 2)

• Risk: Data loss or corruption during migration
• Mitigation:
  • Test migration with copy of production data
  • Dry-run migrations in staging
  • Rollback plan with SQLite backup
  • Point-in-time recovery capability

2. Multi-Tenant Data Isolation (Phase 1-2)

• Risk: Tenant A can access Tenant B's data
• Mitigation:
  • Comprehensive RLS policy testing
  • Automated isolation tests in CI/CD
  • Security audit by third party
  • Bug bounty program for isolation issues

3. Webhook Reliability (Phase 1C)

• Risk: Missed webhook events leading to data gaps
• Mitigation:
  • Implement webhook retry logic (3 attempts)
  • Dead letter queue for failed webhooks
  • Periodic full repository sync (daily)
  • Monitoring for webhook failures

4. GKE Deployment (Phase 4)

• Risk: Downtime during initial deployment
• Mitigation:
  • Blue-green deployment strategy
  • Canary releases (10% → 50% → 100%)
  • Health checks on all pods
  • Automated rollback on errors

5. Performance Under Load (Phase 6)

• Risk: System cannot handle production traffic
• Mitigation:
  • Load testing with 2x expected traffic
  • Database query optimization
  • API response caching
  • Horizontal autoscaling (2-20 pods)

Medium-Risk Areas

1. Third-Party Dependencies

• Risk: GitHub API rate limits, downtime
• Mitigation:
  • Implement rate limit backoff
  • Cache GitHub API responses
  • Support GitLab and Bitbucket as alternatives

2. Cost Overruns

• Risk: Infrastructure costs exceed budget
• Mitigation:
  • Weekly cost monitoring
  • Set up budget alerts in GCP
  • Use committed use discounts
  • Optimize resource allocation

3. Scope Creep

• Risk: Additional features delay launch
• Mitigation:
  • Strict scope control (MVP only)
  • Feature requests go to backlog
  • Weekly sprint reviews
  • Defer non-critical features to Phase 2

---

Rollout Strategy

Week 1-4: Internal Alpha (Phase 1)

• Audience: CODITECT engineering team only
• Focus: Multi-tenant isolation, generic scanner, webhook onboarding
• Success: All core features working, no critical bugs

Week 5-8: Closed Beta (Phase 2)

• Audience: 3-5 friendly customers (AZ1.AI clients)
• Focus: PostgreSQL migration, performance, reliability
• Success: Positive feedback, <5 critical bugs

Week 9-12: Private Beta (Phases 3-4)

• Audience: 10-20 invited organizations
• Focus: Authentication, GKE deployment, scalability
• Success: 90% user satisfaction, <10 critical bugs

Week 13-16: Public Beta (Phases 5-6)

• Audience: Open signups (limited to 50 organizations)
• Focus: Monitoring, CI/CD, production hardening
• Success: 4.0/5 customer satisfaction, 99% uptime

Week 17+: General Availability

• Audience: Unlimited signups
• Pricing: Free tier (5 users, 3 projects) + Pro ($29/user/month) + Enterprise (custom)

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Next Steps (Immediate)

This Week (Week 1, Days 1-3)

1. Extend POC Database with Multi-Tenant Support ✅

   • Add tenant_id columns to all tables (SQLite)
   • Create tenants table
   • Seed 3 test tenants

2. Migrate Existing Data to coditect-ai Tenant ✅

   • Update all 45 projects with tenant_id
   • Update all tasks with tenant_id
   • Update all commits with tenant_id

3. Update API with Tenant Filtering ✅

   • Add ?tenant_id= parameter to all endpoints
   • Implement tenant validation middleware
   • Return 403 for cross-tenant access

4. Test Multi-Tenant Isolation ✅

   • Verify coditect-ai tenant has all 45 projects
   • Verify find-me-a-mechanic tenant is empty (ready for import)
   • Verify hookup-app tenant is empty (ready for import)

Week 1, Days 4-5

5. Add Frontend Tenant Selector

   • Dropdown to select tenant in dashboard
   • Store selected tenant in localStorage
   • Reload projects/tasks when tenant changes

6. Import Client Repositories

   • Use existing import_all_projects.py for find-me-a-mechanic
   • Use existing import_all_projects.py for hookup-app
   • Verify each tenant sees only their projects

Week 2

7. Begin Generic Repository Scanner (Phase 1B)
   • Create ProjectDetector interface
   • Implement NPMProjectDetector
   • Test with find-me-a-mechanic repository

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Documentation & Training

Developer Documentation

• API reference (OpenAPI/Swagger)
• Database schema ERD
• Architecture diagrams (C4 model)
• Setup instructions (local dev environment)
• Contribution guidelines

Operator Documentation

• Deployment guide (GKE)
• Monitoring runbook
• Incident response playbook
• Disaster recovery procedures
• Database migration guide

User Documentation

• Getting started guide
• Repository connection tutorial
• Dashboard navigation guide
• Team management guide
• FAQ and troubleshooting

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Appendix

Related Documents

• cloud-migration-architecture.md - Complete production architecture
• tasklist.md - Dashboard 2.0 POC tasks
• backend/scripts/import_all_projects.py - Current import script
• backend/api_v2.py - Current API implementation

Change Log

• 2025-11-28: Initial version 1.0 (comprehensive roadmap created)

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Document Status: ✅ Complete Next Review: Weekly during implementation Owner: Dashboard 2.0 Engineering Team Approved By: [Pending]