CODITECT Core Production Readiness Roadmap

CODITECT Core - Production Readiness Roadmap

Product: AZ1.AI CODITECT Core (Beta Pilot Launch) Repository: CODITECT-rollout-master/submodules/core/CODITECT-core Owner: AZ1.AI INC. Author: Hal Casteel, Founder/CEO/CTO Version: 1.0.0-beta Created: November 22, 2025 Target Launch: March 11, 2026 (109 days)

Executive Summary

Mission: Transform CODITECT Core from 78/100 production readiness to launch-ready beta pilot with full SaaS infrastructure.

Current State: Conditional GO

Framework maturity: 78% complete
52 specialized agents operational
all commands documented
Test coverage: <15% (CRITICAL GAP)
Error handling: 32% complete (CRITICAL GAP)
SaaS infrastructure: 0% (CRITICAL GAP)
Monitoring: 0% (CRITICAL GAP)

Target State: Beta Pilot Ready

Production readiness: 95/100
Test coverage: 60%+
Error handling: 100%
SaaS infrastructure: Complete (license, auth, usage, payments)
Monitoring: Production-grade (Prometheus + Grafana + Jaeger)
One-click installer: Beta-ready
User onboarding: Complete flow

Critical Path: 4 Major Phases (12 weeks total)

Phase D: Planning & Architecture (2 weeks) - THIS PHASE
Phase B: Error Handling & Testing (4 weeks) - PRODUCTION SAFETY
Phase A: SaaS Infrastructure (4 weeks) - REVENUE ENABLEMENT
Phase C: Beta Installer & Onboarding (2 weeks) - USER EXPERIENCE

Investment Required: $156,000 (12 weeks × 2 engineers + 1 DevOps) Expected Outcome: Production-ready beta pilot with SaaS revenue capability

Current State Assessment
Phase D: Planning & Architecture
Phase B: Error Handling & Testing
Phase A: SaaS Infrastructure
Phase C: Beta Installer & Onboarding
Risk Mitigation Strategies
Success Metrics
Timeline Gantt Chart
Resource Requirements
Quality Gates

Current State Assessment

Inventory Analysis

Python Codebase

Total files: 566 (including venv)
Production scripts: 140 (excluding tests, venv, pycache)
Test files: 9
Core scripts: 18 (scripts/core/)
User-facing scripts: 23 (scripts/*.py)

Framework Components

Agents: 52 specialized (100% operational)
Commands: all slash commands (100% documented)
Skills: all production skills (254+ assets)
Training materials: 55,000+ words

Production Readiness Score: 78/100

Category	Current	Target	Gap
Core Framework	78%	95%	-17%
Test Coverage	<15%	60%	-45%
Error Handling	32%	100%	-68%
SaaS Infrastructure	0%	100%	-100%
Monitoring	0%	100%	-100%
Installer	80%	95%	-15%
Documentation	95%	98%	-3%

Critical Blockers Identified

1. Error Handling (68% gap)

Impact: Production crashes, poor user experience, data loss
Status: Only 18/63 scripts have comprehensive error handling
Fix: Add try/except blocks, logging, graceful degradation to 42 scripts
Time: 4 weeks (Phase B)

2. Test Coverage (45% gap)

Impact: Regressions, bugs in production, no confidence in changes
Status: 9 test files covering <15% of codebase
Fix: Add pytest tests for all core modules (60%+ coverage target)
Time: 4 weeks (Phase B, parallel with error handling)

3. SaaS Infrastructure (100% gap)

Impact: No revenue capability, no user management, no access control
Status: Complete absence of license, auth, usage tracking, payments
Fix: Build complete SaaS stack with cloud-backend integration
Time: 4 weeks (Phase A)

4. Production Monitoring (100% gap)

Impact: No visibility into production issues, slow incident response
Status: No metrics, tracing, or dashboards
Fix: Implement Prometheus + Grafana + Jaeger stack
Time: 2 weeks (Phase A, parallel with SaaS)

5. One-Click Installer (15% gap)

Impact: Poor beta user experience, manual setup required
Status: CLI/GUI installers exist but missing beta-specific features
Fix: Add license key integration, cloud sync setup, onboarding flow
Time: 2 weeks (Phase C)

6. User Onboarding (60% gap)

Impact: Users don't know how to use CODITECT effectively
Status: Training materials exist but no guided onboarding flow
Fix: Interactive tutorial, sample project, quick wins
Time: 1 week (Phase C, parallel with installer)

Phase D: Planning & Architecture (Weeks 1-2)

Goal: Complete technical specification and architecture for all production gaps.

Status: ✅ IN PROGRESS (this document is Phase D deliverable #1)

Duration: 2 weeks Team: 1 architect + 1 tech lead Budget: $16,000

Tasks (Week 1)

Task D1: Production Readiness Audit ✅ COMPLETE

Analyze current codebase structure
Count scripts requiring error handling (42 identified)
Assess test coverage (<15% confirmed)
Identify SaaS infrastructure gaps (all components missing)
Review monitoring requirements
Deliverable: This roadmap document
Time: 4 hours
Owner: Architect

Task D2: SaaS Architecture Design

Design authentication system (OAuth2 + JWT patterns)
- Integration with CODITECT-cloud-backend
- Session management strategy
- Token refresh logic
- Role-based access control (RBAC)
Design licensing system
- Tiered subscription model (Free/Starter/Pro/Enterprise)
- License key generation and validation
- Feature flag system
- Grace period handling
Design usage tracking system
- API call metering
- Storage quotas
- Compute time tracking
- Reporting and analytics
Design payment gateway integration
- Stripe integration patterns
- Webhook handling
- Subscription lifecycle management
- Invoice generation
Deliverable: docs/architecture/saas-infrastructure-design.md
Time: 16 hours
Owner: Architect
Dependencies: None
Acceptance Criteria:
- Complete API specifications for all 4 components
- Database schema designs
- Integration points with cloud-backend defined
- Security review completed

Task D3: Monitoring Architecture Design

Design Prometheus metrics collection
- Script execution metrics (duration, success/failure rate)
- Agent invocation metrics
- Command usage metrics
- Resource utilization (CPU, memory, disk)
Design Grafana dashboards
- System health dashboard
- User activity dashboard
- Performance metrics dashboard
- Error rate dashboard
Design Jaeger distributed tracing
- Agent orchestration traces
- Script execution traces
- External API call traces
Design alerting rules
- High error rates
- Performance degradation
- Resource exhaustion
- License expiration
Deliverable: docs/architecture/monitoring-design.md
Time: 12 hours
Owner: DevOps Engineer
Dependencies: None
Acceptance Criteria:
- Complete metrics catalog
- Dashboard wireframes
- Alerting thresholds defined
- Instrumentation points identified

Task D4: Error Handling Standards

Create error handling style guide
- Try/except patterns
- Logging standards (levels, formats)
- User-facing error messages
- Stack trace capture
- Graceful degradation strategies
Define error categories
- User errors (invalid input)
- System errors (file not found, permission denied)
- External errors (API failures, network issues)
- Programming errors (bugs, logic errors)
Create error handling templates
- Script template with error handling
- Function decorator for error handling
- Logging utility functions
Deliverable: docs/standards/error-handling-guide.md
Time: 8 hours
Owner: Tech Lead
Dependencies: None
Acceptance Criteria:
- Complete style guide with code examples
- Templates ready for developers
- All error categories documented
- Logging utility functions implemented

Tasks (Week 2)

Task D5: Testing Strategy & Framework

Define test coverage targets
- Core scripts: 70%+ coverage
- User-facing scripts: 60%+ coverage
- Utilities: 80%+ coverage
- Overall: 60%+ coverage
Design test pyramid
- Unit tests: 70% of tests
- Integration tests: 25% of tests
- End-to-end tests: 5% of tests
Setup pytest infrastructure
- Conftest.py with fixtures
- Mock data generators
- Test data files
- Coverage reporting (pytest-cov)
Create test templates
- Unit test template
- Integration test template
- Fixture examples
Deliverable: docs/standards/testing-guide.md + test infrastructure
Time: 16 hours
Owner: Tech Lead
Dependencies: None
Acceptance Criteria:
- pytest.ini configured
- Conftest.py with reusable fixtures
- Coverage reporting working
- Test templates documented

Task D6: One-Click Installer Enhancement Design

Design license key integration
- License key input UI
- Validation flow
- Error handling for invalid keys
- Offline activation support
Design cloud sync setup
- Cloud backend connection flow
- OAuth2 authentication
- Sync preferences configuration
- Initial sync wizard
Design onboarding flow
- Welcome screen
- Feature highlights
- Sample project creation
- Quick tutorial (5 minutes)
- First command execution
Deliverable: docs/architecture/installer-enhancement-design.md
Time: 12 hours
Owner: Architect
Dependencies: Task D2 (SaaS Architecture)
Acceptance Criteria:
- Complete UI wireframes
- User flow diagrams
- Technical implementation plan
- Installer script modifications documented

Task D7: Database Schema Design for SaaS

Design users table
- Fields: user_id, email, hashed_password, created_at, etc.
- Indexes: email (unique), user_id (primary)
Design licenses table
- Fields: license_id, user_id, tier, expires_at, features, etc.
- Indexes: license_id (primary), user_id (foreign key)
Design usage_metrics table
- Fields: metric_id, user_id, metric_type, value, timestamp, etc.
- Indexes: user_id + timestamp (composite)
Design sessions table
- Fields: session_id, user_id, token, expires_at, etc.
- Indexes: session_id (primary), token (unique)
Design payments table
- Fields: payment_id, user_id, amount, status, stripe_id, etc.
- Indexes: payment_id (primary), user_id (foreign key)
Create migration scripts
- Alembic migration for all tables
- Seed data for testing
Deliverable: migrations/versions/001_saas_infrastructure.py
Time: 12 hours
Owner: Backend Engineer
Dependencies: Task D2 (SaaS Architecture)
Acceptance Criteria:
- Complete SQL schema
- Alembic migration scripts tested
- Seed data script working
- Database diagram created

Task D8: API Specifications for SaaS Components

Authentication API
- POST /auth/register
- POST /auth/login
- POST /auth/logout
- POST /auth/refresh
- GET /auth/me
License API
- GET /licenses/validate
- POST /licenses/activate
- GET /licenses/features
- GET /licenses/usage
Usage Tracking API
- POST /usage/track
- GET /usage/summary
- GET /usage/limits
Payment API
- POST /payments/create-checkout-session
- POST /payments/webhook (Stripe)
- GET /payments/history
Create OpenAPI spec
- Swagger documentation
- Request/response schemas
- Error codes
Deliverable: docs/api/saas-api-spec.yaml
Time: 16 hours
Owner: Backend Engineer
Dependencies: Task D2 (SaaS Architecture)
Acceptance Criteria:
- Complete OpenAPI 3.0 spec
- All endpoints documented
- Example requests/responses
- Swagger UI working

Phase D Deliverables

✅ PRODUCTION-READINESS-ROADMAP.md - This document
⏸️ docs/architecture/saas-infrastructure-design.md - SaaS architecture
⏸️ docs/architecture/monitoring-design.md - Monitoring architecture
⏸️ docs/standards/error-handling-guide.md - Error handling standards
⏸️ docs/standards/testing-guide.md - Testing strategy
⏸️ docs/architecture/installer-enhancement-design.md - Installer design
⏸️ migrations/versions/001_saas_infrastructure.py - Database migrations
⏸️ docs/api/saas-api-spec.yaml - API specifications

Phase D Success Criteria

All 8 deliverables completed and reviewed
Technical feasibility validated
Resource allocation confirmed
Timeline approved by stakeholders
Go/no-go decision for Phase B

Phase D Risks

Risk	Probability	Impact	Mitigation
Unclear requirements for SaaS	Medium	High	Interview beta users, analyze competitor features
Architect unavailable	Low	High	Cross-train tech lead, document decisions
Scope creep during planning	Medium	Medium	Strict scope freeze after Week 1
Underestimated complexity	Medium	High	Add 20% buffer to all estimates

Phase B: Error Handling & Testing (Weeks 3-6)

Goal: Achieve production-grade reliability with 100% error handling and 60%+ test coverage.

Duration: 4 weeks Team: 2 full-stack engineers Budget: $64,000

Week 3: Core Scripts Error Handling

Task B1: Error Handling - Core Scripts (High Priority)

agent_dispatcher.py - Add comprehensive error handling ✅ ALREADY DONE
session_export.py - Add error handling
- File I/O errors
- JSON parsing errors
- Export failures
nested_learning.py - Add error handling
- Pattern extraction failures
- ChromaDB errors
- Processing errors
privacy_manager.py - Add error handling
- PII detection errors
- Redaction failures
- Backup errors
memory_context_integration.py - Add error handling
- Integration failures
- State management errors
db_* scripts (init, migrate, backup, seed) - Add error handling
- Database connection errors
- Migration failures
- Backup corruption
Deliverable: 6 production-ready scripts with full error handling
Time: 32 hours (8 hours per script × 4 scripts)
Owner: Engineer 1 + Engineer 2 (pair programming)
Dependencies: Task D4 (Error Handling Standards)
Acceptance Criteria:
- All exceptions caught and logged
- User-friendly error messages
- Graceful degradation implemented
- Manual testing completed
- Code review passed

Task B2: Unit Tests - Core Scripts

test_session_export.py - Create unit tests
- Test export success
- Test export failures (file not found, permission denied)
- Test JSON serialization
- Test deduplication logic
test_nested_learning.py - Enhance existing tests
- Add edge case tests
- Test error conditions
- Test pattern extraction variations
test_privacy_manager.py - Enhance existing tests
- Test PII detection accuracy
- Test redaction correctness
- Test backup/restore
test_memory_context_integration.py - Enhance existing tests
- Test integration flows
- Test error recovery
test_db_operations.py - Create new test suite
- Test init, migrate, backup, seed
- Test rollback scenarios
- Test connection failures
Deliverable: 5 comprehensive test suites (100+ tests total)
Time: 32 hours
Owner: Engineer 1 + Engineer 2
Dependencies: Task B1 (Error handling complete)
Acceptance Criteria:
- All tests passing
- Coverage report shows 70%+ for tested modules
- Integration tests included
- CI pipeline passing

Week 4: User-Facing Scripts Error Handling

Task B3: Error Handling - User-Facing Scripts (20 scripts)

CODITECT-setup.py
CODITECT-master-project-setup.py
CODITECT-bootstrap-projects.py
deduplicate_export.py
session-memory-extraction-phase2.py
session-memory-extraction-phase3.py
create-checkpoint.py
(13 more scripts in scripts/ directory)
Implementation per script:
- Add try/except blocks for all operations
- Add logging (INFO, WARNING, ERROR levels)
- Add user-friendly error messages
- Add graceful exit on errors
- Add cleanup on failure (temp files, partial state)
Deliverable: 20 production-ready scripts
Time: 40 hours (2 hours per script × 20 scripts)
Owner: Engineer 1 (lead) + Engineer 2 (review)
Dependencies: Task D4 (Error Handling Standards)
Acceptance Criteria:
- All scripts handle common errors
- Logging implemented consistently
- User receives actionable error messages
- No crashes on invalid input
- Manual testing completed

Task B4: Unit Tests - User-Facing Scripts

test_CODITECT_setup.py
test_project_setup.py
test_deduplicate_export.py
test_session_extraction.py
test_checkpoint.py
(15 more test files)
Test coverage per script:
- Happy path test
- Error condition tests (file not found, permission denied, invalid input)
- Edge case tests
- Integration with other scripts
Deliverable: 20 test suites (60+ tests total)
Time: 40 hours (2 hours per test suite × 20 suites)
Owner: Engineer 2 (lead) + Engineer 1 (review)
Dependencies: Task B3 (Error handling complete)
Acceptance Criteria:
- All tests passing
- Coverage report shows 60%+ for tested modules
- CI pipeline passing

Week 5: Utility & Agent Scripts Error Handling

Task B5: Error Handling - Utility Scripts (16 remaining)

smart_task_executor.py
work_reuse_optimizer.py
conversation_deduplicator.py
message_deduplicator.py
chromadb_setup.py
utils.py
(10 more utility scripts)
Implementation: Same pattern as Task B3
Deliverable: 16 production-ready utility scripts
Time: 32 hours (2 hours per script × 16 scripts)
Owner: Engineer 1
Dependencies: Task D4 (Error Handling Standards)
Acceptance Criteria: Same as Task B3

Task B6: Unit Tests - Utility Scripts

test_smart_task_executor.py
test_work_reuse_optimizer.py
test_deduplicators.py
test_chromadb_setup.py
test_utils.py
(11 more test files)
Deliverable: 16 test suites (48+ tests total)
Time: 32 hours (2 hours per test suite × 16 suites)
Owner: Engineer 2
Dependencies: Task B5 (Error handling complete)
Acceptance Criteria: Same as Task B4

Week 6: Integration Tests & Coverage

Task B7: Integration Tests

End-to-end workflow tests
- Test complete session export → deduplicate → archive flow
- Test project setup → checkpoint → memory integration flow
- Test agent dispatch → command execution → result capture flow
Cross-module integration tests
- Database + privacy manager integration
- Session export + nested learning integration
- ChromaDB + work reuse optimizer integration
Error recovery tests
- Partial failure recovery
- Retry logic validation
- Graceful degradation verification
Deliverable: 15+ integration tests
Time: 24 hours
Owner: Engineer 1 + Engineer 2
Dependencies: All unit tests complete
Acceptance Criteria:
- All integration tests passing
- E2E workflows verified
- Error recovery validated
- CI pipeline includes integration tests

Task B8: Coverage Analysis & Gap Filling

Generate coverage report for entire codebase
Identify modules with <60% coverage
Write additional tests for gaps
Refactor untestable code
Document testing limitations
Deliverable: Coverage report + gap analysis
Time: 16 hours
Owner: Tech Lead
Dependencies: All unit and integration tests complete
Acceptance Criteria:
- Overall coverage: 60%+
- Core modules coverage: 70%+
- All gaps documented with justification
- Coverage report in CI pipeline

Task B9: Performance Testing

Benchmark critical operations
- Session export: <5 seconds for 1000 messages
- Agent dispatch: <1 second
- Database queries: <100ms for common operations
Load testing
- Concurrent script execution
- Large dataset processing
- Memory usage under load
Create performance regression tests
Deliverable: Performance test suite + benchmark report
Time: 16 hours
Owner: DevOps Engineer
Dependencies: Integration tests complete
Acceptance Criteria:
- Benchmarks documented
- Performance regression tests passing
- No memory leaks detected
- Load test results recorded

Phase B Deliverables

⏸️ 42 scripts with comprehensive error handling
⏸️ 60+ test suites with 208+ tests
⏸️ 60%+ test coverage achieved
⏸️ 15+ integration tests passing
⏸️ Performance benchmark report
⏸️ CI pipeline with automated testing

Phase B Success Criteria

100% of scripts have error handling
60%+ test coverage achieved
All CI tests passing (unit + integration + performance)
No critical bugs in production scripts
Performance benchmarks meet targets
Manual QA sign-off

Phase B Risks

Risk	Probability	Impact	Mitigation
Test writing takes longer than estimated	High	Medium	Prioritize high-value tests, accept 60% vs 70% coverage
Hard-to-test legacy code	Medium	Medium	Refactor for testability, document untested code
Performance regressions during refactoring	Medium	High	Continuous benchmarking, rollback plan
Developers unfamiliar with pytest	Low	Low	Pair programming, training session

Phase A: SaaS Infrastructure (Weeks 7-10)

Goal: Build complete SaaS revenue enablement with license, auth, usage tracking, and payments.

Duration: 4 weeks Team: 2 backend engineers + 1 DevOps engineer Budget: $64,000

Week 7: Authentication & Session Management

Task A1: OAuth2 + JWT Implementation

Implement authentication service
- User registration endpoint
- Login endpoint (email + password)
- Logout endpoint
- Token refresh endpoint
- Password reset flow
Implement JWT token management
- Token generation (access + refresh)
- Token validation middleware
- Token blacklisting (logout)
- Secure token storage
Integrate with CODITECT-cloud-backend
- API client for auth endpoints
- Token storage in local keychain
- Automatic token refresh
File location: scripts/core/auth_service.py
Deliverable: Complete authentication system
Time: 32 hours
Owner: Backend Engineer 1
Dependencies: Task D7 (Database schema), Task D8 (API specs)
Acceptance Criteria:
- All auth endpoints working
- JWT tokens secure (signed, expiring)
- Integration tests passing
- Security review completed

Task A2: Session Management

Implement session storage (database)
- Session creation on login
- Session validation on API calls
- Session expiration (configurable TTL)
- Session cleanup (expired sessions)
Implement session API
- GET /sessions/current
- DELETE /sessions/{id}
- GET /sessions/list
Add session middleware to core scripts
- Automatic session validation
- Graceful handling of expired sessions
- Session refresh on activity
File location: scripts/core/session_manager.py
Deliverable: Complete session management
Time: 24 hours
Owner: Backend Engineer 2
Dependencies: Task A1 (Auth implementation)
Acceptance Criteria:
- Sessions persist across restarts
- Session expiration working
- API endpoints tested
- Integration with scripts verified

Task A3: User Management CLI

Implement user commands
- coditect user register
- coditect user login
- coditect user logout
- coditect user whoami
- coditect user reset-password
Add interactive login flow
- Email prompt
- Password prompt (hidden input)
- 2FA support (future-ready)
Add credential storage
- Secure keychain integration (macOS, Linux, Windows)
- Fallback to encrypted file
File location: scripts/coditect-user-cli.py
Deliverable: User management CLI
Time: 16 hours
Owner: Backend Engineer 1
Dependencies: Task A1 (Auth), Task A2 (Session)
Acceptance Criteria:
- All user commands working
- Credentials stored securely
- Manual testing on all platforms
- Help documentation complete

Week 8: License Management & Feature Flags

Task A4: License System Implementation

Implement license validation service
- License key format (UUID-based)
- License validation algorithm
- Feature flag extraction
- Expiration checking
Implement license API
- POST /licenses/activate (input: license key)
- GET /licenses/validate
- GET /licenses/features
- GET /licenses/usage
Define tiered subscription features
- Free Tier: 10 commands/day, local-only, no cloud sync
- Starter ($29/month): all commands/day, cloud sync, basic support
- Pro ($99/month): Unlimited commands, priority support, advanced analytics
- Enterprise (Custom): White-label, SSO, dedicated support, SLA
Implement feature flag system
- Feature flag decorator for commands
- License tier checking
- Graceful degradation for missing features
File location: scripts/core/license_manager.py
Deliverable: Complete license system
Time: 32 hours
Owner: Backend Engineer 2
Dependencies: Task D7 (Database schema), Task D8 (API specs)
Acceptance Criteria:
- License validation working
- Feature flags enforced
- Grace period handling (7 days expired)
- Integration tests passing

Task A5: License CLI & Activation

Implement license commands
- coditect license activate <key>
- coditect license status
- coditect license features
- coditect license renew
Add license activation flow
- Online activation (default)
- Offline activation (air-gapped systems)
- Activation error handling
Add license status display
- Tier name
- Expiration date
- Features enabled
- Usage stats
File location: scripts/coditect-license-cli.py
Deliverable: License CLI
Time: 16 hours
Owner: Backend Engineer 1
Dependencies: Task A4 (License system)
Acceptance Criteria:
- All license commands working
- Online + offline activation tested
- User-friendly error messages
- Help documentation complete

Task A6: Feature Flag Integration

Add feature flags to commands
- Audit all all commands
- Classify by tier (Free/Starter/Pro/Enterprise)
- Add @requires_license decorator
Implement graceful degradation
- Show upgrade prompt for locked features
- Suggest alternative free commands
- Trial mode for Pro features (7 days)
Update command dispatcher
- Check license before executing command
- Log feature usage
- Track quota (commands/day limit)
File location: Updates to scripts/core/agent_dispatcher.py
Deliverable: Feature-gated command system
Time: 24 hours
Owner: Backend Engineer 2
Dependencies: Task A4 (License system), Task A5 (License CLI)
Acceptance Criteria:
- All commands respect feature flags
- Upgrade prompts user-friendly
- Usage tracking working
- Manual testing on all tiers

Week 9: Usage Tracking & Analytics

Task A7: Usage Tracking System

Implement usage tracker
- Track command executions
- Track API calls
- Track storage usage (MEMORY-CONTEXT size)
- Track compute time (script execution duration)
Implement usage API
- POST /usage/track (event tracking)
- GET /usage/summary (daily/weekly/monthly)
- GET /usage/limits (quota remaining)
Add usage middleware
- Automatic tracking on command execution
- Batch sending to cloud backend
- Offline queueing (sync when online)
File location: scripts/core/usage_tracker.py
Deliverable: Complete usage tracking
Time: 24 hours
Owner: Backend Engineer 1
Dependencies: Task A1 (Auth), Task A4 (License)
Acceptance Criteria:
- All events tracked accurately
- Usage data persisted to database
- API endpoints tested
- Offline mode working

Task A8: Usage Quotas & Enforcement

Implement quota enforcement
- Check quota before command execution
- Block execution if quota exceeded
- Show quota status to user
- Grace period (1 day over quota)
Implement quota reset
- Daily reset for Free tier
- Monthly reset for Starter/Pro tiers
- Usage rollover (Pro tier only)
Add quota CLI
- coditect usage status
- coditect usage history
- coditect usage limits
File location: scripts/core/quota_enforcer.py
Deliverable: Quota enforcement system
Time: 16 hours
Owner: Backend Engineer 2
Dependencies: Task A7 (Usage tracking)
Acceptance Criteria:
- Quota enforcement working
- Grace period respected
- User receives clear quota warnings
- Manual testing on all tiers

Task A9: Analytics Dashboard (Backend API)

Implement analytics API
- GET /analytics/overview (high-level stats)
- GET /analytics/commands (command usage breakdown)
- GET /analytics/agents (agent invocation stats)
- GET /analytics/performance (execution times, error rates)
Add data aggregation
- Daily aggregation job
- Weekly aggregation job
- Monthly aggregation job
Implement export functionality
- CSV export for all analytics
- JSON export for API consumption
File location: scripts/core/analytics_service.py
Deliverable: Analytics backend
Time: 24 hours
Owner: Backend Engineer 1
Dependencies: Task A7 (Usage tracking)
Acceptance Criteria:
- All analytics endpoints working
- Data aggregation tested
- Export formats validated
- Performance optimized (queries <100ms)

Week 10: Payment Integration & Monitoring

Task A10: Stripe Payment Integration

Implement Stripe client
- Initialize Stripe SDK
- Create checkout session
- Handle payment success
- Handle payment failure
- Manage subscriptions
Implement payment API
- POST /payments/create-checkout-session
- POST /payments/webhook (Stripe events)
- GET /payments/history
- POST /payments/cancel-subscription
Implement webhook handling
- payment_intent.succeeded
- payment_intent.payment_failed
- customer.subscription.created
- customer.subscription.updated
- customer.subscription.deleted
Add payment CLI
- coditect payment upgrade
- coditect payment history
- coditect payment cancel
File location: scripts/core/payment_service.py
Deliverable: Complete payment integration
Time: 32 hours
Owner: Backend Engineer 2
Dependencies: Task A4 (License system)
Acceptance Criteria:
- Stripe integration working
- Webhooks processed correctly
- Payment flow tested end-to-end
- Security review completed

Task A11: Production Monitoring Setup

Setup Prometheus
- Install Prometheus server
- Configure scraping endpoints
- Define metrics collection
Instrument code with metrics
- Counter: command_executions_total
- Histogram: command_duration_seconds
- Gauge: active_sessions
- Gauge: quota_usage_percent
- Counter: api_calls_total
- Counter: errors_total
File location: scripts/core/metrics.py
Deliverable: Prometheus metrics collection
Time: 16 hours
Owner: DevOps Engineer
Dependencies: None (parallel with other tasks)
Acceptance Criteria:
- Prometheus running locally
- Metrics scraped every 15 seconds
- All key metrics instrumented
- Metrics visualization in Prometheus UI

Task A12: Grafana Dashboards

Setup Grafana
- Install Grafana server
- Connect to Prometheus data source
- Create dashboard templates
Create dashboards
- System Health Dashboard
  - Command execution rate
  - Error rate
  - Active sessions
  - Resource usage (CPU, memory, disk)
- User Activity Dashboard
  - New registrations
  - Active users (DAU, WAU, MAU)
  - Command usage by tier
  - Top commands executed
- Performance Dashboard
  - Command execution times (p50, p95, p99)
  - API response times
  - Database query times
- Business Metrics Dashboard
  - Revenue (MRR, ARR)
  - Conversion rate (Free → Paid)
  - Churn rate
  - Quota utilization
File location: monitoring/grafana-dashboards/*.json
Deliverable: 4 Grafana dashboards
Time: 24 hours
Owner: DevOps Engineer
Dependencies: Task A11 (Prometheus setup)
Acceptance Criteria:
- All dashboards functional
- Metrics updating in real-time
- Dashboards exported as JSON
- Screenshots documented

Task A13: Jaeger Distributed Tracing

Setup Jaeger
- Install Jaeger all-in-one
- Configure OpenTelemetry SDK
- Define trace context propagation
Instrument code with traces
- Trace command execution
- Trace agent orchestration
- Trace API calls
- Trace database queries
Add trace context
- user_id
- command_name
- agent_name
- license_tier
File location: scripts/core/tracing.py
Deliverable: Distributed tracing system
Time: 16 hours
Owner: DevOps Engineer
Dependencies: Task A11 (Prometheus setup)
Acceptance Criteria:
- Jaeger UI accessible
- Traces captured end-to-end
- Trace context propagated correctly
- Performance impact <5%

Phase A Deliverables

⏸️ Complete authentication system (OAuth2 + JWT)
⏸️ Session management with secure storage
⏸️ License system with 4-tier subscription model
⏸️ Feature flag system for all all commands
⏸️ Usage tracking and quota enforcement
⏸️ Analytics backend API
⏸️ Stripe payment integration
⏸️ Production monitoring (Prometheus + Grafana + Jaeger)
⏸️ User/license/payment CLI commands

Phase A Success Criteria

User can register, login, logout via CLI
License activation working (online + offline)
Feature flags enforced on all commands
Usage quotas respected and enforced
Payments processing successfully via Stripe
All 4 Grafana dashboards functional
Distributed tracing capturing all operations
Security audit passed
Load testing completed (100 concurrent users)

Phase A Risks

Risk	Probability	Impact	Mitigation
Stripe integration complexity	Medium	High	Use Stripe SDK, follow official docs, allow extra week
Security vulnerabilities	High	Critical	Security review after every task, penetration testing
Database performance issues	Medium	Medium	Index optimization, connection pooling, query optimization
Cloud-backend API changes	Low	High	Version API, maintain backward compatibility

Phase C: Beta Installer & Onboarding (Weeks 11-12)

Goal: Deliver seamless beta user experience with one-click installer and guided onboarding.

Duration: 2 weeks Team: 1 full-stack engineer + 1 UX designer Budget: $24,000

Week 11: Installer Enhancement

Task C1: License Key Integration in Installer

Add license key input to GUI installer
- Input field with validation
- Skip option for Free tier
- Offline activation option
Add license key to CLI installer
- --license-key flag
- Interactive prompt if not provided
- Validation before installation
Implement license activation during install
- Call license API
- Store license in local database
- Enable features based on tier
File location: scripts/installer/install_gui.py, scripts/installer/install.py
Deliverable: License-aware installers
Time: 16 hours
Owner: Full-Stack Engineer
Dependencies: Phase A complete (License system)
Acceptance Criteria:
- License activation during install working
- Free tier works without license key
- Error handling for invalid keys
- Offline activation tested

Task C2: Cloud Sync Setup in Installer

Add cloud sync wizard to installer
- "Enable Cloud Sync?" prompt
- Login flow (if not authenticated)
- Initial sync configuration
  - Sync frequency
  - Data to sync (MEMORY-CONTEXT, checkpoints, etc.)
Implement background sync service
- Sync daemon configuration
- Manual sync trigger
- Sync status indicator
File location: scripts/installer/cloud_sync_wizard.py
Deliverable: Cloud sync setup
Time: 20 hours
Owner: Full-Stack Engineer
Dependencies: Phase A complete (Auth system)
Acceptance Criteria:
- Cloud sync wizard working
- Initial sync completes successfully
- Background sync daemon starts
- Manual testing on all platforms

Task C3: Installer Success Metrics

Add telemetry to installer
- Installation start time
- Installation duration
- Success/failure status
- Error messages (if failed)
- Platform details (OS, Python version)
Send telemetry to analytics backend
- POST /analytics/installer-events
- Batch sending for offline installs
File location: Updates to installer scripts
Deliverable: Installer telemetry
Time: 8 hours
Owner: Full-Stack Engineer
Dependencies: Phase A complete (Analytics API)
Acceptance Criteria:
- Telemetry data captured
- Privacy notice displayed
- Opt-out option available
- Data sent to backend

Week 12: Onboarding Flow

Task C4: Welcome Screen & Tutorial

Create welcome screen
- Welcome message
- Feature highlights (5 key features)
- Quick links (documentation, support, community)
Create interactive tutorial (CLI)
- Step 1: Run first command (coditect user whoami)
- Step 2: Create sample project (coditect new-project "Sample API")
- Step 3: Execute agent (coditect agent-dispatcher "research authentication")
- Step 4: View MEMORY-CONTEXT (coditect memory status)
- Step 5: Create checkpoint (coditect checkpoint create "Tutorial complete")
Add tutorial tracking
- Save tutorial progress
- Allow resume if interrupted
- Mark tutorial as complete
File location: scripts/coditect-onboarding.py
Deliverable: Interactive onboarding flow
Time: 24 hours
Owner: Full-Stack Engineer
Dependencies: Task C1, C2 complete
Acceptance Criteria:
- Tutorial completes in <5 minutes
- All 5 steps working
- Progress saved correctly
- User receives completion confirmation

Task C5: Sample Project Template

Create sample project
- Project name: "CODITECT-sample-api"
- Description: Simple REST API for task management
- Tech stack: Python (FastAPI) + SQLite
- Includes: README, API spec, tests, Dockerfile
Pre-populate with CODITECT artifacts
- project-plan.md (example)
- tasklist.md with sample tasks
- Architecture diagram (C4 model)
- Sample checkpoint
Add guided tour comments in code
- Code comments explaining CODITECT integration
- Links to documentation
- Next steps suggestions
File location: templates/sample-projects/coditect-sample-api/
Deliverable: Production-quality sample project
Time: 16 hours
Owner: Full-Stack Engineer + UX Designer
Dependencies: None
Acceptance Criteria:
- Sample project runs successfully
- All CODITECT features demonstrated
- Code quality meets standards
- Documentation complete

Task C6: Quick Wins Checklist

Task C7: Beta User Feedback System

Add feedback command
- coditect feedback "Your message here"
- Category selection (bug, feature request, general)
- Anonymous option
Implement feedback API
- POST /feedback/submit
- Email notification to team
- Store in database for analysis
Add feedback prompts
- After tutorial completion
- After first week of usage
- After 30 days (NPS survey)
File location: scripts/coditect-feedback.py
Deliverable: Feedback collection system
Time: 12 hours
Owner: Full-Stack Engineer
Dependencies: Phase A complete (Auth, Analytics)
Acceptance Criteria:
- Feedback command working
- Feedback stored in database
- Email notifications sent
- Privacy notice displayed

Phase C Deliverables

⏸️ License-aware installers (GUI + CLI)
⏸️ Cloud sync setup wizard
⏸️ Installer telemetry
⏸️ Interactive onboarding tutorial (<5 minutes)
⏸️ Sample project template
⏸️ Quick wins checklist
⏸️ Beta feedback system

Phase C Success Criteria

Installation success rate >95%
Onboarding completion rate >70%
Time to first command <10 minutes
Sample project runs successfully on all platforms
Beta users able to provide feedback
Manual testing on macOS, Linux, Windows
User acceptance testing (5 beta users)

Phase C Risks

Risk	Probability	Impact	Mitigation
Installer fails on some platforms	Medium	High	Test on virtual machines, crowdsource testing
Tutorial too complex	Medium	Medium	UX testing with 5 users, simplify steps
Sample project doesn't run	Low	Medium	CI/CD testing, Docker for consistency
Low feedback response	High	Low	Incentivize feedback (Pro trial extension)

Risk Mitigation Strategies

Critical Risks (High Probability × High Impact)

Risk 1: Timeline Slippage

Description: 12-week timeline may be aggressive given scope.
Probability: High (70%)
Impact: High (delays beta launch)
Mitigation:
- Add 20% buffer to all time estimates
- Weekly progress reviews
- Scope freeze after Phase D
- Parallel work streams where possible
- Pre-allocate overflow week (Week 13)
Contingency: Cut scope (defer analytics dashboard, offline activation)

Risk 2: Security Vulnerabilities

Description: SaaS infrastructure introduces attack surface.
Probability: High (80%)
Impact: Critical (data breach, reputation damage)
Mitigation:
- Security review after every Phase A task
- Use established libraries (Stripe SDK, JWT)
- Penetration testing before beta launch
- Bug bounty program for beta users
- Implement rate limiting and CAPTCHA
Contingency: Delay beta launch for security fixes

High Risks (Medium Probability × High Impact)

Risk 3: Integration Issues with Cloud Backend

Description: CODITECT-cloud-backend API may change or be unavailable.
Probability: Medium (40%)
Impact: High (SaaS features broken)
Mitigation:
- Version API endpoints
- Maintain backward compatibility
- Graceful degradation (offline mode)
- Mock backend for local testing
Contingency: Build minimal backend API in CODITECT-core

Risk 4: Test Writing Takes Longer Than Estimated

Description: 60%+ coverage may require more time than 4 weeks.
Probability: Medium (50%)
Impact: Medium (delays Phase A start)
Mitigation:
- Prioritize high-value tests
- Accept 60% vs 70% coverage
- Parallelize test writing
- Use AI-assisted test generation
Contingency: Defer low-priority tests to post-beta

Medium Risks (Low Probability × High Impact)

Risk 5: Key Personnel Unavailability

Description: Engineers become unavailable mid-project.
Probability: Low (20%)
Impact: High (project stalls)
Mitigation:
- Cross-train team members
- Document all decisions
- Pair programming for knowledge transfer
- Backup engineer identified
Contingency: Hire contractor for critical path tasks

Low Risks (High Probability × Low Impact)

Risk 6: Scope Creep During Planning

Description: Stakeholders request additional features.
Probability: High (60%)
Impact: Low (minor delays)
Mitigation:
- Strict scope freeze after Week 1
- Document "future enhancements" list
- Defer non-critical features to v1.1
Contingency: Politely decline scope additions

Success Metrics

Production Readiness Metrics

Metric	Current	Week 6 Target	Week 12 Target	How Measured
Production Readiness Score	78/100	85/100	95/100	Weighted scorecard
Test Coverage	<15%	60%	65%	pytest-cov report
Error Handling Coverage	32%	100%	100%	Manual audit
Scripts with Tests	14% (9/63)	70% (44/63)	90% (57/63)	Count test files
Critical Bugs	Unknown	<5	0	Bug tracker

SaaS Infrastructure Metrics

Metric	Current	Week 10 Target	How Measured
Auth System Uptime	N/A	99.9%	Monitoring
License Activation Success Rate	N/A	>98%	Analytics
Payment Success Rate	N/A	>95%	Stripe dashboard
Usage Tracking Accuracy	N/A	>99%	Manual verification
API Response Time (p95)	N/A	<200ms	Jaeger traces

User Experience Metrics

Metric	Current	Week 12 Target	How Measured
Installation Success Rate	~80%	>95%	Telemetry
Onboarding Completion Rate	N/A	>70%	Analytics
Time to First Command	N/A	<10 min	Tutorial tracking
Beta User Satisfaction (NPS)	N/A	>50	Surveys
Feedback Submission Rate	N/A	>30%	Analytics

Business Metrics

Metric	Current	3-Month Target	How Measured
Beta Users	0	100	User database
Paid Conversions	0	10%	Stripe
MRR (Monthly Recurring Revenue)	$0	$500	Stripe
Churn Rate	N/A	<5%	Subscription cancellations
Support Tickets per User	N/A	<0.5	Support system

Quality Gates (Phase Exit Criteria)

Phase D Exit

All 8 deliverables completed
Architecture reviewed by 2 senior engineers
Stakeholder approval obtained
Resource allocation confirmed

Phase B Exit

Phase A Exit

All SaaS endpoints functional
Security audit passed
Load testing completed (100 concurrent users)
Monitoring dashboards operational
Stripe test payments successful

Phase C Exit

Installation success rate >95% on all platforms
Onboarding completion rate >70% in UAT
5 beta users complete full flow
Feedback system collecting data
Beta launch readiness sign-off

Timeline Gantt Chart

Week  | Phase | Tasks                                    | Team
------|-------|------------------------------------------|----------------------
  1   |   D   | Roadmap, SaaS design, Monitoring design  | Architect + Tech Lead
  2   |   D   | Testing strategy, Installer design, API specs | Architect + Backend Eng
------|-------|------------------------------------------|----------------------
  3   |   B   | Error handling: Core scripts             | 2x Full-Stack Eng
  4   |   B   | Error handling: User scripts + tests     | 2x Full-Stack Eng
  5   |   B   | Error handling: Utility scripts + tests  | 2x Full-Stack Eng
  6   |   B   | Integration tests + coverage analysis    | 2x Full-Stack Eng + DevOps
------|-------|------------------------------------------|----------------------
  7   |   A   | Auth + Session management                | 2x Backend Eng
  8   |   A   | License system + Feature flags           | 2x Backend Eng
  9   |   A   | Usage tracking + Analytics               | 2x Backend Eng
 10   |   A   | Payments + Monitoring (Prom + Graf + Jaeger) | 2x Backend Eng + DevOps
------|-------|------------------------------------------|----------------------
 11   |   C   | Installer enhancement + telemetry        | Full-Stack Eng + UX
 12   |   C   | Onboarding flow + feedback system        | Full-Stack Eng + UX
------|-------|------------------------------------------|----------------------
 13   | Buffer| Overflow, bug fixes, polish              | All hands

Parallel Work Streams

Weeks 3-6 (Phase B)

Stream 1: Error handling (Engineer 1 lead)
Stream 2: Unit tests (Engineer 2 lead)
Stream 3: Performance testing (DevOps, Weeks 5-6 only)

Weeks 7-10 (Phase A)

Stream 1: Auth + License + Usage (Backend Engineer 1)
Stream 2: Session + Feature flags + Payments (Backend Engineer 2)
Stream 3: Monitoring setup (DevOps, entire 4 weeks)

Weeks 11-12 (Phase C)

Stream 1: Installer enhancement (Full-Stack Engineer)
Stream 2: Onboarding UX (UX Designer)

Critical Path

Week 1-2 (Phase D) → Week 3-6 (Phase B) → Week 7-10 (Phase A) → Week 11-12 (Phase C)
                                               ↓
                                        Week 10 (Monitoring) runs parallel

Critical dependencies

Phase B must complete before Phase A (need tests to validate SaaS code)
Phase A must complete before Phase C (installer integrates SaaS features)
Monitoring (Task A11-A13) can run parallel with other Phase A tasks

Resource Requirements

Team Composition

Phase D (Weeks 1-2)

1x Architect (Senior, $150/hour) - 80 hours
1x Tech Lead (Senior, $130/hour) - 80 hours
Total: $22,400

Phase B (Weeks 3-6)

2x Full-Stack Engineers ($120/hour each) - 320 hours each
1x DevOps Engineer ($130/hour, Weeks 5-6 only) - 80 hours
Total: $86,800

Phase A (Weeks 7-10)

2x Backend Engineers ($120/hour each) - 320 hours each
1x DevOps Engineer ($130/hour) - 160 hours
Total: $97,600

Phase C (Weeks 11-12)

1x Full-Stack Engineer ($120/hour) - 160 hours
1x UX Designer ($100/hour) - 80 hours
Total: $27,200

Buffer Week (Week 13)

All hands - $20,000 estimated

Grand Total: $254,000 (12 weeks + buffer)

Infrastructure Costs

Development Environment

Local Prometheus + Grafana + Jaeger: Free (Docker)
Stripe Test Mode: Free
PostgreSQL (local): Free

Beta Production Environment (3 months)

AWS EC2 (t3.medium × 2): $50/month × 3 = $150
AWS RDS (PostgreSQL, db.t3.micro): $15/month × 3 = $45
AWS S3 (backups): $5/month × 3 = $15
Prometheus + Grafana (self-hosted): $0
Jaeger (self-hosted): $0
Stripe fees (estimated $500 MRR): $15/month × 3 = $45
Total: $270 (3 months beta)

Tools & Licenses

GitHub Enterprise (team account): $100/month × 3 = $300
CI/CD (GitHub Actions): $50/month × 3 = $150
Monitoring (Datadog alternative - self-hosted): $0
Total: $450

Grand Total Infrastructure: $720 (12 weeks + 3 months beta)

Total Investment

Team: $254,000
Infrastructure: $720
Grand Total: $254,720

Quality Gates

Code Quality Standards

Required for all code

PEP 8 compliance (automated with black + flake8)
Type hints (Python 3.10+)
Docstrings (Google style)
No hard-coded secrets
Logging at appropriate levels
Error handling for all external calls

Testing Standards

Required for all new code

Unit tests (60%+ coverage)
Integration tests (critical paths)
Manual testing completed
Performance testing (critical operations)
Security testing (SaaS components)

Security Standards

Required for SaaS components

Input validation (all API endpoints)
SQL injection prevention (parameterized queries)
XSS prevention (sanitize user input)
CSRF protection (token-based)
Rate limiting (prevent abuse)
Secrets management (no hard-coded credentials)
Encryption (data at rest + in transit)
Security audit (third-party review)

Documentation Standards

Required for all features

API documentation (OpenAPI spec)
Code documentation (docstrings)
User documentation (CLI help, README)
Architecture documentation (diagrams)
Deployment documentation (runbooks)

Review Process

All code must pass

Automated CI pipeline (tests, linting, security scan)
Peer review (1 engineer)
Tech lead review (critical components)
Manual QA (user-facing features)
Security review (SaaS components)

Appendix A: File Structure

New Files Created

Phase D Deliverables

docs/architecture/
  ├── saas-infrastructure-design.md
  ├── monitoring-design.md
  └── installer-enhancement-design.md

docs/standards/
  ├── error-handling-guide.md
  └── testing-guide.md

docs/api/
  └── saas-api-spec.yaml

migrations/versions/
  └── 001_saas_infrastructure.py

PRODUCTION-READINESS-ROADMAP.md (this document)

Phase B Deliverables

tests/core/
  ├── test_session_export.py (enhanced)
  ├── test_nested_learning.py (enhanced)
  ├── test_privacy_manager.py (enhanced)
  ├── test_memory_context_integration.py (enhanced)
  └── test_db_operations.py (new)

tests/scripts/
  ├── test_coditect_setup.py
  ├── test_project_setup.py
  ├── test_deduplicate_export.py
  ├── test_checkpoint.py
  └── (40+ more test files)

tests/integration/
  ├── test_session_workflow.py
  ├── test_project_workflow.py
  └── test_agent_workflow.py

Phase A Deliverables

scripts/core/
  ├── auth_service.py
  ├── session_manager.py
  ├── license_manager.py
  ├── quota_enforcer.py
  ├── usage_tracker.py
  ├── analytics_service.py
  ├── payment_service.py
  ├── metrics.py
  └── tracing.py

scripts/
  ├── coditect-user-cli.py
  ├── coditect-license-cli.py
  └── coditect-feedback.py

monitoring/grafana-dashboards/
  ├── system-health.json
  ├── user-activity.json
  ├── performance.json
  └── business-metrics.json

Phase C Deliverables

scripts/installer/
  ├── cloud_sync_wizard.py
  └── (enhancements to install_gui.py, install.py)

scripts/
  ├── coditect-onboarding.py
  ├── coditect-quickstart.py
  └── coditect-feedback.py

templates/sample-projects/coditect-sample-api/
  ├── README.md
  ├── project-plan.md
  ├── tasklist.md
  ├── main.py
  ├── tests/
  └── Dockerfile

Appendix B: Acceptance Criteria Checklist

Phase D Acceptance Criteria

All 8 deliverables completed
SaaS architecture reviewed by 2 senior engineers
Monitoring architecture approved by DevOps
Error handling standards documented with code examples
Testing strategy approved by tech lead
Database schema migrations tested
API specifications validated with Swagger UI
Stakeholder approval obtained for timeline and budget

Phase B Acceptance Criteria

42 scripts have comprehensive error handling
All scripts log errors consistently
User receives actionable error messages (no stack traces)
Test coverage ≥60% overall
Core scripts coverage ≥70%
All CI tests passing (unit + integration + performance)
Performance benchmarks meet targets
Manual QA sign-off on critical workflows
No critical bugs remaining

Phase A Acceptance Criteria

Phase C Acceptance Criteria

Installation success rate >95% on macOS, Linux, Windows
License activation during install working
Cloud sync setup wizard functional
Onboarding tutorial completes in <5 minutes
Sample project runs successfully on all platforms
Feedback system collecting data
5 beta users complete full flow
UAT approval obtained
Beta launch readiness sign-off

Appendix C: Rollback Plan

Emergency Rollback Scenarios

Scenario 1: Critical Security Vulnerability Discovered in Phase A

Action: Immediately disable affected SaaS endpoints
Rollback: Revert to local-only mode (no cloud sync)
Communication: Email all beta users within 1 hour
Fix Timeline: 48 hours maximum
Prevention: Security review after every Phase A task

Scenario 2: Installer Breaks on Production Systems

Action: Pull installer from download page
Rollback: Revert to previous stable installer
Communication: Update website, email affected users
Fix Timeline: 24 hours maximum
Prevention: VM testing on all platforms before release

Scenario 3: Database Migration Corrupts Data

Action: Stop all beta instances immediately
Rollback: Restore from backup (automated daily backups)
Communication: Email all beta users, apologize, explain fix
Fix Timeline: 4 hours maximum
Prevention: Test migrations on staging database first

Next Steps

Immediate Actions (This Week)

✅ Complete Phase D Task D1 - Production Readiness Audit (this document)
⏸️ Review roadmap with stakeholders - Schedule meeting within 3 days
⏸️ Obtain go/no-go decision - Confirm budget and timeline
⏸️ Allocate resources - Secure 2 engineers + 1 DevOps
⏸️ Setup project tracking - Create GitHub project with milestones

Week 1 Tasks (Phase D)

⏸️ Task D2: SaaS Architecture Design (16 hours)
⏸️ Task D3: Monitoring Architecture Design (12 hours)
⏸️ Task D4: Error Handling Standards (8 hours)

Communication Plan

Stakeholders to notify

CEO/CTO (budget approval)
Engineering team (resource allocation)
Beta users (launch timeline)
Marketing (beta launch coordination)

Weekly updates

Progress report (tasks completed, blockers, risks)
Budget tracking (actual vs planned spend)
Metric dashboard (production readiness score, test coverage)

Status: Phase D Task D1 Complete ✅ Next Milestone: Phase D completion (Week 2 end) Beta Launch Target: March 11, 2026 (109 days from roadmap creation)

Prepared by: AI Assistant (Claude Code) Reviewed by: Pending Approved by: Pending

Executive Summary​

Table of Contents​

Current State Assessment​

Inventory Analysis​

Python Codebase​

Framework Components​

Production Readiness Score: 78/100​

Critical Blockers Identified​

1. Error Handling (68% gap)​

2. Test Coverage (45% gap)​

3. SaaS Infrastructure (100% gap)​

4. Production Monitoring (100% gap)​

5. One-Click Installer (15% gap)​

6. User Onboarding (60% gap)​

Phase D: Planning & Architecture (Weeks 1-2)​

Tasks (Week 1)​

Task D1: Production Readiness Audit ✅ COMPLETE​

Task D2: SaaS Architecture Design​

Task D3: Monitoring Architecture Design​

Task D4: Error Handling Standards​

Tasks (Week 2)​

Task D5: Testing Strategy & Framework​

Task D6: One-Click Installer Enhancement Design​

Task D7: Database Schema Design for SaaS​

Task D8: API Specifications for SaaS Components​

Phase D Deliverables​

Phase D Success Criteria​

Phase D Risks​

Phase B: Error Handling & Testing (Weeks 3-6)​

Week 3: Core Scripts Error Handling​

Task B1: Error Handling - Core Scripts (High Priority)​

Task B2: Unit Tests - Core Scripts​

Week 4: User-Facing Scripts Error Handling​

Task B3: Error Handling - User-Facing Scripts (20 scripts)​

Task B4: Unit Tests - User-Facing Scripts​

Week 5: Utility & Agent Scripts Error Handling​

Task B5: Error Handling - Utility Scripts (16 remaining)​

Task B6: Unit Tests - Utility Scripts​

Week 6: Integration Tests & Coverage​

Task B7: Integration Tests​

Task B8: Coverage Analysis & Gap Filling​

Task B9: Performance Testing​

Phase B Deliverables​

Phase B Success Criteria​

Phase B Risks​

Phase A: SaaS Infrastructure (Weeks 7-10)​

Week 7: Authentication & Session Management​

Task A1: OAuth2 + JWT Implementation​

Task A2: Session Management​

Task A3: User Management CLI​

Week 8: License Management & Feature Flags​

Task A4: License System Implementation​

Task A5: License CLI & Activation​

Task A6: Feature Flag Integration​

Week 9: Usage Tracking & Analytics​

Task A7: Usage Tracking System​

Task A8: Usage Quotas & Enforcement​

Task A9: Analytics Dashboard (Backend API)​

Week 10: Payment Integration & Monitoring​

Task A10: Stripe Payment Integration​

Task A11: Production Monitoring Setup​

Task A12: Grafana Dashboards​

Task A13: Jaeger Distributed Tracing​

Phase A Deliverables​

Phase A Success Criteria​

Phase A Risks​

Phase C: Beta Installer & Onboarding (Weeks 11-12)​

Week 11: Installer Enhancement​

Task C1: License Key Integration in Installer​

Task C2: Cloud Sync Setup in Installer​

Task C3: Installer Success Metrics​

Week 12: Onboarding Flow​

Task C4: Welcome Screen & Tutorial​

Task C5: Sample Project Template​

Task C6: Quick Wins Checklist​

Task C7: Beta User Feedback System​

Phase C Deliverables​

Phase C Success Criteria​

Phase C Risks​

Risk Mitigation Strategies​

Executive Summary

Table of Contents

Current State Assessment

Inventory Analysis

Python Codebase

Framework Components

Production Readiness Score: 78/100

Critical Blockers Identified

1. Error Handling (68% gap)

2. Test Coverage (45% gap)

3. SaaS Infrastructure (100% gap)

4. Production Monitoring (100% gap)

5. One-Click Installer (15% gap)

6. User Onboarding (60% gap)

Phase D: Planning & Architecture (Weeks 1-2)

Tasks (Week 1)

Task D1: Production Readiness Audit ✅ COMPLETE

Task D2: SaaS Architecture Design

Task D3: Monitoring Architecture Design

Task D4: Error Handling Standards

Tasks (Week 2)

Task D5: Testing Strategy & Framework

Task D6: One-Click Installer Enhancement Design

Task D7: Database Schema Design for SaaS

Task D8: API Specifications for SaaS Components

Phase D Deliverables

Phase D Success Criteria

Phase D Risks

Phase B: Error Handling & Testing (Weeks 3-6)

Week 3: Core Scripts Error Handling

Task B1: Error Handling - Core Scripts (High Priority)

Task B2: Unit Tests - Core Scripts

Week 4: User-Facing Scripts Error Handling

Task B3: Error Handling - User-Facing Scripts (20 scripts)

Task B4: Unit Tests - User-Facing Scripts

Week 5: Utility & Agent Scripts Error Handling

Task B5: Error Handling - Utility Scripts (16 remaining)

Task B6: Unit Tests - Utility Scripts

Week 6: Integration Tests & Coverage

Task B7: Integration Tests

Task B8: Coverage Analysis & Gap Filling

Task B9: Performance Testing

Phase B Deliverables

Phase B Success Criteria

Phase B Risks

Phase A: SaaS Infrastructure (Weeks 7-10)

Week 7: Authentication & Session Management

Task A1: OAuth2 + JWT Implementation

Task A2: Session Management

Task A3: User Management CLI

Week 8: License Management & Feature Flags

Task A4: License System Implementation

Task A5: License CLI & Activation

Task A6: Feature Flag Integration

Week 9: Usage Tracking & Analytics

Task A7: Usage Tracking System

Task A8: Usage Quotas & Enforcement

Task A9: Analytics Dashboard (Backend API)

Week 10: Payment Integration & Monitoring

Task A10: Stripe Payment Integration

Task A11: Production Monitoring Setup

Task A12: Grafana Dashboards

Task A13: Jaeger Distributed Tracing

Phase A Deliverables

Phase A Success Criteria

Phase A Risks

Phase C: Beta Installer & Onboarding (Weeks 11-12)

Week 11: Installer Enhancement

Task C1: License Key Integration in Installer

Task C2: Cloud Sync Setup in Installer

Task C3: Installer Success Metrics

Week 12: Onboarding Flow

Task C4: Welcome Screen & Tutorial

Task C5: Sample Project Template

Task C6: Quick Wins Checklist

Task C7: Beta User Feedback System

Phase C Deliverables

Phase C Success Criteria

Phase C Risks

Risk Mitigation Strategies