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AZ1.AI CODITECT Platform Rollout Master Plan

AZ1.AI CODITECT Platform Rollout - Master Plan

Copyright © 2025 AZ1.AI INC. All Rights Reserved. Developed by Hal Casteel, Founder/CEO/CTO, AZ1.AI INC.

Status: Phase 1 - Architecture & Planning Last Updated: 2025-11-15

Executive Summary​

Complete infrastructure buildout plan for AZ1.AI CODITECT commercial rollout. This plan identifies all necessary components, organizes them into discrete projects, and applies the full CODITECT 1-2-3 methodology to each.

Total Projects: 8 major components Timeline: 6 months (Q4 2025 → Q2 2026) Budget Estimate: $850K total investment Team: 8-12 engineers (full-time + contractors)

Component Architecture Map​

Platform Architecture Diagram​

Project Breakdown​

Project 1: CODITECT Cloud Platform (Backend)​

Directory: ~/PROJECTS/coditect-cloud-backend/

Description: SaaS platform for user lifecycle management

Tech Stack:

  • FastAPI (Python 3.11+)
  • PostgreSQL 15 (user data, licenses, audit logs)
  • Redis 7 (caching, sessions, rate limiting)
  • Celery (background tasks)
  • Alembic (database migrations)

Features:

  • User registration & email verification
  • GitHub OAuth authentication
  • License management (EULA, NDA acceptance & tracking)
  • Token generation & authentication (JWT + long-lived API tokens)
  • Framework download control & logging
  • Session tracking & analytics
  • Admin API for user management
  • Audit logging (all actions tracked)
  • Automated offboarding & IP revocation

API Endpoints (RESTful):

/api/v1/auth/register
/api/v1/auth/login
/api/v1/auth/verify-email
/api/v1/auth/device (OAuth device flow)
/api/v1/licenses/accept
/api/v1/licenses/status
/api/v1/tokens/create
/api/v1/tokens/revoke
/api/v1/tokens/list
/api/v1/framework/download
/api/v1/framework/versions
/api/v1/sessions/track
/api/v1/admin/users (CRUD)
/api/v1/admin/audit-logs
/api/v1/admin/analytics

Timeline: 12 weeks Team: 2 backend engineers + 1 DevOps Budget: $135,000

Project 2: CODITECT Cloud Platform (Frontend)​

Directory: ~/PROJECTS/coditect-cloud-frontend/

Description: Web application for users and admins

Tech Stack:

  • React 18 + TypeScript
  • TailwindCSS (styling)
  • Vite (build tool)
  • TanStack Query (data fetching)
  • React Router (navigation)
  • Zustand (state management)
  • Radix UI (accessible components)

Pages & Features:

Public Pages:

  • Landing page (marketing)
  • Pricing page
  • Documentation portal (embedded)
  • Login/Register pages

User Portal:

  • Dashboard (overview, recent activity)
  • Profile management
  • License agreements view
  • Token management (create, view, revoke)
  • Download history
  • Session history
  • Usage analytics
  • Support ticket system

Admin Dashboard:

  • User management (list, search, approve, suspend, offboard)
  • License overview (acceptance rates, versions)
  • Token management (view all tokens, bulk revoke)
  • Session monitoring (active sessions, usage stats)
  • Audit log viewer (filterable, exportable)
  • Analytics dashboard (user growth, downloads, engagement)
  • System health monitoring

Timeline: 10 weeks Team: 2 frontend engineers + 1 UI/UX designer Budget: $110,000

Project 3: CODITECT CLI Tools​

Directory: ~/PROJECTS/coditect-cli/

Description: Command-line tools for local operations

Tech Stack:

  • Python 3.11+ (core CLI)
  • Click or Typer (CLI framework)
  • Rich (beautiful terminal output)
  • Requests (HTTP client)
  • GitPython (Git operations)
  • PyInstaller (binary distribution)

Tools:

coditect (main CLI):

coditect init              # Initialize new project
coditect login             # Authenticate with cloud platform
coditect download          # Download/update framework
coditect status            # Show authentication & framework status
coditect logout            # Logout & clear tokens
coditect version           # Show CLI version

coditect-git (Git automation):

coditect-git start "session description"  # Start work session
coditect-git commit "message"             # Auto-commit changes
coditect-git push                         # Push to remote
coditect-git sync                         # Pull from remote
coditect-git pr "title"                   # Create pull request
coditect-git end                          # End session
coditect-git status                       # Show Git & session status

coditect-setup (Interactive setup):

coditect-setup             # Full interactive setup wizard
coditect-setup --quick     # Quick setup with defaults

Features:

  • Offline mode support
  • Configuration management (~/.coditect/config.json)
  • Automatic updates (self-update command)
  • Cross-platform (macOS, Linux, Windows)
  • Beautiful CLI with progress bars, spinners
  • Error handling with helpful messages
  • Shell completion (bash, zsh, fish)

Timeline: 8 weeks Team: 1 CLI engineer + 1 Python developer Budget: $75,000

Project 4: CODITECT Documentation Site​

Directory: ~/PROJECTS/coditect-docs/

Description: Comprehensive documentation and learning platform

Tech Stack:

  • Docusaurus or VitePress (static site generator)
  • Markdown (content)
  • Mermaid (diagrams)
  • Algolia DocSearch (search)
  • Vercel or Netlify (hosting)

Documentation Sections:

Getting Started:

  • What is CODITECT?
  • Installation & setup
  • Quick start guide
  • First project tutorial
  • Video walkthroughs

Guides:

  • CODITECT 1-2-3 Methodology
    • Phase 1: Discovery & Validation
    • Phase 2: Strategy & Planning
    • Phase 3: Execution & Delivery
  • C4 Architecture Methodology
  • Multi-LLM CLI Integration
  • Git Workflow Automation
  • Session Management & MEMORY-CONTEXT
  • Platform Evolution Roadmap

Reference:

  • CLI Commands Reference
  • API Documentation (auto-generated from OpenAPI)
  • Configuration Options
  • Templates & Examples
  • ADR Library
  • Mermaid Diagram Examples

Tutorials:

  • Project Planning Tutorial
  • Architecture Design Tutorial
  • Task Management Tutorial
  • Git Workflow Tutorial
  • Team Collaboration Tutorial

Resources:

  • Case Studies
  • Best Practices
  • FAQ
  • Troubleshooting Guide
  • Community Forum (Discourse integration)
  • Blog (platform updates, tips)

Features:

  • Search (Algolia)
  • Dark/light mode
  • Multi-language support (future)
  • Interactive examples
  • Embedded videos
  • PDF exports
  • Versioned docs (track framework versions)

Timeline: 6 weeks Team: 1 technical writer + 1 frontend developer Budget: $55,000

Project 5: Agent Marketplace & Registry​

Directory: ~/PROJECTS/coditect-agent-marketplace/

Description: Discover, share, and manage specialized AI agents

Tech Stack:

  • Next.js 14 (full-stack framework)
  • PostgreSQL (agent metadata)
  • GitHub (agent source code)
  • Algolia (search)
  • Stripe (paid agents - future)

Features:

Agent Discovery:

  • Browse agents by category (development, testing, documentation, etc.)
  • Search with filters (language, framework, rating)
  • Agent detail pages (description, usage, examples, ratings)
  • Featured agents & collections
  • Trending agents

Agent Management:

  • Agent submission (developers can submit agents)
  • Version control (track agent versions)
  • Dependencies & compatibility
  • Installation instructions
  • Usage analytics

Agent Metadata Schema:

{
  "id": "uuid",
  "name": "agent-name",
  "version": "1.0.0",
  "description": "What this agent does",
  "author": "user-id",
  "category": ["development", "testing"],
  "tags": ["python", "pytest", "automation"],
  "repository": "github-url",
  "documentation": "docs-url",
  "dependencies": ["agent-id-1", "agent-id-2"],
  "llm_compatibility": ["claude", "gemini", "grok"],
  "downloads": 12500,
  "rating": 4.8,
  "reviews": 156,
  "license": "MIT",
  "created_at": "timestamp",
  "updated_at": "timestamp"
}

Installation:

coditect agent install agent-name
coditect agent list
coditect agent update agent-name
coditect agent remove agent-name

Timeline: 10 weeks Team: 2 full-stack engineers Budget: $95,000

Project 6: Analytics & Monitoring Platform​

Directory: ~/PROJECTS/coditect-analytics/

Description: Usage tracking, monitoring, and business intelligence

Tech Stack:

  • Python (data processing)
  • PostgreSQL (metrics storage)
  • ClickHouse (time-series analytics)
  • Grafana (visualization)
  • Prometheus (metrics collection)
  • Sentry (error tracking)

Metrics Tracked:

User Metrics:

  • User registrations (daily, weekly, monthly)
  • Active users (DAU, WAU, MAU)
  • User retention (cohort analysis)
  • Churn rate
  • User journey funnels

Product Metrics:

  • Framework downloads
  • CLI usage (commands executed)
  • Agent installations
  • Project creations
  • Session durations
  • Feature adoption rates

Technical Metrics:

  • API response times (p50, p95, p99)
  • Error rates
  • Uptime (SLA tracking)
  • Database query performance
  • Infrastructure costs

Business Metrics:

  • MRR (Monthly Recurring Revenue) - future
  • Conversion rates (trial → paid)
  • Customer acquisition cost (CAC)
  • Lifetime value (LTV)
  • NPS (Net Promoter Score)

Dashboards:

  • Executive Dashboard (high-level KPIs)
  • Product Dashboard (feature usage)
  • Engineering Dashboard (system health)
  • Marketing Dashboard (growth metrics)

Timeline: 6 weeks Team: 1 data engineer + 1 backend engineer Budget: $65,000

Project 7: Infrastructure & DevOps​

Directory: ~/PROJECTS/coditect-infrastructure/

Description: Infrastructure as Code, CI/CD, and deployment automation

Tech Stack:

  • Terraform (infrastructure provisioning)
  • Docker (containerization)
  • Kubernetes or Cloud Run (orchestration)
  • GitHub Actions (CI/CD)
  • GCP (primary cloud provider)

Infrastructure Components:

GCP Services:

  • Cloud Run (API + web hosting)
  • Cloud SQL (PostgreSQL)
  • Cloud Storage (framework downloads, backups)
  • Cloud CDN (static assets)
  • Cloud Load Balancing
  • Cloud Logging & Monitoring
  • Secret Manager (credentials)
  • Cloud Scheduler (cron jobs)
  • Cloud Build (CI/CD)

Terraform Modules:

infrastructure/
├── modules/
│   ├── networking/
│   ├── database/
│   ├── storage/
│   ├── compute/
│   ├── monitoring/
│   └── security/
├── environments/
│   ├── dev/
│   ├── staging/
│   └── production/
└── shared/

CI/CD Pipelines:

Backend Pipeline:

  1. Lint & format (black, flake8)
  2. Unit tests (pytest)
  3. Integration tests
  4. Security scan (Snyk, safety)
  5. Build Docker image
  6. Push to GCR (Google Container Registry)
  7. Deploy to Cloud Run
  8. Smoke tests

Frontend Pipeline:

  1. Lint & format (ESLint, Prettier)
  2. Type check (TypeScript)
  3. Unit tests (Vitest)
  4. Build production bundle
  5. Deploy to Vercel/Netlify
  6. Visual regression tests (Percy)

CLI Pipeline:

  1. Lint & format
  2. Unit tests
  3. Integration tests
  4. Build binaries (PyInstaller)
  5. Sign binaries
  6. Upload to releases

Monitoring & Alerting:

  • Uptime monitoring (Pingdom)
  • Error tracking (Sentry)
  • Log aggregation (Cloud Logging)
  • Metrics (Prometheus + Grafana)
  • Alerts (PagerDuty for critical, email for warnings)

Disaster Recovery:

  • Automated backups (daily full, hourly incremental)
  • Point-in-time recovery (PostgreSQL)
  • Multi-region deployment (future)
  • Runbooks for common incidents

Timeline: 8 weeks (ongoing maintenance) Team: 1 DevOps engineer + 1 SRE Budget: $85,000

Project 8: Legal & Compliance​

Directory: ~/PROJECTS/coditect-legal/

Description: Legal documents, compliance tracking, and IP protection

Components:

Legal Documents:

  • End User License Agreement (EULA)
  • Non-Disclosure Agreement (NDA)
  • Terms of Service
  • Privacy Policy
  • Acceptable Use Policy
  • Service Level Agreement (SLA)
  • Data Processing Agreement (DPA) - for EU customers

Compliance:

  • GDPR compliance (EU data protection)
  • CCPA compliance (California privacy)
  • SOC 2 Type II (future)
  • ISO 27001 (future)

IP Protection:

  • Copyright notices (all files)
  • Trademark registration (AZ1.AI, CODITECT)
  • Patent filings (if applicable)
  • Open source license audit

Deliverables:

  • Legal document templates (Markdown + PDF)
  • Compliance checklist
  • Privacy policy generator
  • Cookie consent banner
  • Terms acceptance tracking

Timeline: 4 weeks Team: 1 lawyer + 1 compliance specialist (contractors) Budget: $35,000

Implementation Roadmap​

Phase 1: Foundation (Months 1-2)​

Projects: Cloud Backend, Infrastructure, Legal

Milestones:

  • Week 2: Infrastructure provisioned (GCP project, databases, networking)
  • Week 4: Backend API v1 (auth, user registration)
  • Week 6: License acceptance system working
  • Week 8: Token generation & authentication complete

Deliverables:

  • Working backend API (deployed to staging)
  • Infrastructure as Code (Terraform)
  • Legal documents finalized
  • CI/CD pipelines operational

Phase 2: User Experience (Months 3-4)​

Projects: Cloud Frontend, CLI Tools, Documentation

Milestones:

  • Week 10: Frontend v1 (user portal)
  • Week 12: CLI tools beta release
  • Week 14: Admin dashboard complete
  • Week 16: Documentation site live

Deliverables:

  • User portal (deployed to production)
  • Admin dashboard (deployed to production)
  • CLI tools (beta release for testing)
  • Documentation site (docs.coditect.ai)

Phase 3: Scale & Enhance (Months 5-6)​

Projects: Agent Marketplace, Analytics

Milestones:

  • Week 18: Agent marketplace MVP
  • Week 20: Analytics dashboards live
  • Week 22: Beta testing with 50+ users
  • Week 24: Public launch

Deliverables:

  • Agent marketplace (deployed to production)
  • Analytics platform (internal + user-facing)
  • Beta testing complete
  • Public launch materials

Budget Summary​

ProjectTimelineTeamBudget
1. Cloud Backend12 weeks3$135,000
2. Cloud Frontend10 weeks3$110,000
3. CLI Tools8 weeks2$75,000
4. Documentation6 weeks2$55,000
5. Agent Marketplace10 weeks2$95,000
6. Analytics6 weeks2$65,000
7. Infrastructure8 weeks2$85,000
8. Legal4 weeks2$35,000
TOTAL6 months8-12$655,000

Additional Costs:

  • Infrastructure (GCP): $5,000/month × 6 = $30,000
  • External services (SendGrid, Stripe, etc.): $1,500/month × 6 = $9,000
  • Design & branding: $25,000
  • Marketing & launch: $50,000
  • Contingency (15%): $115,000

Grand Total: $884,000

Success Metrics​

Month 3 (MVP)​

  • 50 registered users
  • Backend API operational (99.5% uptime)
  • User portal functional
  • CLI tools in beta

Month 6 (Public Launch)​

  • 500 registered users
  • 50 active projects using CODITECT
  • 99.9% uptime SLA
  • NPS > 50
  • Documentation coverage 100%
  • Agent marketplace with 20+ agents

Month 12 (Growth)​

  • 5,000 registered users
  • 100 paid accounts
  • $50K MRR (Monthly Recurring Revenue)
  • 99.95% uptime
  • SOC 2 Type II certified
  • 100+ agents in marketplace

Risk Assessment​

RiskProbabilityImpactMitigation
GCP outageLowHighMulti-region backup plan
Security breachMediumCriticalPenetration testing, bug bounty
Slow user adoptionMediumHighStrong marketing, early feedback
Team bandwidthHighMediumHire contractors, prioritize ruthlessly
Budget overrunMediumHigh15% contingency, weekly reviews
Competitor entryLowMediumFast iteration, unique IP

Next Steps​

Immediate Actions (Week 1)​

  1. Setup Project Structure:

    cd ~/PROJECTS
    mkdir coditect-cloud-backend
    mkdir coditect-cloud-frontend
    mkdir coditect-cli
    mkdir coditect-docs
    mkdir coditect-agent-marketplace
    mkdir coditect-analytics
    mkdir coditect-infrastructure
    mkdir coditect-legal

  2. Initialize Each Project:

    • Create project-plan.md (using CODITECT template)
    • Create tasklist.md with checkboxes
    • Create ADRs for key decisions
    • Create C4 architecture diagrams
    • Initialize Git repository
    • Setup GitHub remote
    • Configure .gitignore (use universal template)

  3. GCP Setup:

    • Create GCP organization
    • Setup billing
    • Create projects (dev, staging, production)
    • Configure IAM & permissions

  4. Team Onboarding:

    • Hire backend engineers (2)
    • Hire frontend engineers (2)
    • Hire DevOps engineer (1)
    • Contract legal counsel

Week 2-4​

  • Begin backend API development (Sprint 1)
  • Finalize infrastructure architecture
  • Complete legal documents
  • Setup CI/CD pipelines

Copyright © 2025 AZ1.AI INC. All Rights Reserved. Developed by Hal Casteel, Founder/CEO/CTO, AZ1.AI INC.

Status: Ready for Implementation Next Review: Weekly during execution