# Code Migration and Modernization Processes Backlog

This document contains researched code migration and modernization processes that can be adapted to the Babysitter SDK orchestration framework. Each process should be implemented in its own directory under `processes/[name]/`.

## Implementation Guidelines

### Directory Structure
```
processes/
├── [process-name]/
│   ├── README.md              # Overview and usage
│   ├── [process-name].js      # Main process workflow with embedded agentic or skill based tasks, breakpoints, etc.
│   └── examples/              # Example inputs/outputs
│       ├── examples.json
│       └── ...
```

### File Patterns
- **Main Process**: `processes/[name]/[name].js` or `processes/[name].js` (for single-file)
- **JSDoc Required**: `@process`, `@description`, `@inputs`, `@outputs`
- **Export Pattern**: `export async function process(inputs, ctx) { ... }`
- **Task Definitions**: Use `defineTask` from `@a5c-ai/babysitter-sdk`
- **Breakpoints**: Use `ctx.breakpoint()` for human approval gates
- **Parallel Execution**: Use `ctx.parallel.all()` for independent tasks

---

## Priority Matrix

### High Priority (Implement First)
**Core migration assessment and planning processes:**
1. **Legacy Codebase Assessment** - Comprehensive legacy system analysis
2. **Migration Planning and Roadmap** - Strategic migration roadmap creation
3. **Dependency Analysis and Updates** - Dependency mapping and modernization
4. **Database Schema Migration** - Schema transformation and evolution
5. **Testing Strategy for Migrations** - Migration-specific test planning

### Medium Priority (Strategic Processes)
6. **API Modernization** - Legacy API to modern API transformation
7. **Framework Upgrade Process** - Framework version upgrades
8. **Language Version Migration** - Programming language version updates
9. **Monolith to Microservices** - Service decomposition from monolith
10. **Cloud Migration Planning** - On-premises to cloud migration

### Advanced Priority (Specialized Processes)
11. **Data Migration Pipeline** - ETL and data transformation
12. **Strangler Fig Implementation** - Incremental replacement pattern
13. **Performance Baseline and Validation** - Migration performance testing
14. **Security Remediation During Migration** - Security improvements in migration
15. **Technical Debt Remediation** - Systematic debt reduction

### Operational Priority (Runtime Processes)
16. **Parallel Run Validation** - Dual-system comparison
17. **Cutover Planning and Execution** - Migration deployment
18. **Rollback Procedure Implementation** - Rollback automation
19. **Post-Migration Validation** - Comprehensive post-migration testing
20. **Legacy System Decommissioning** - Safe system retirement

### Extended Backlog
21. **Code Transformation Automation** - Automated code conversion
22. **Integration Layer Migration** - API/integration modernization
23. **Configuration Migration** - Config modernization
24. **Documentation Migration** - Legacy docs to modern format
25. **Compliance Validation** - Regulatory compliance verification

---

## 1. Legacy Codebase Assessment

**Category**: Assessment
**Priority**: High
**Implementation Status**: Not Started
**Focus Area**: System Analysis

### Overview
A comprehensive process for analyzing legacy codebases to understand structure, dependencies, technical debt, and modernization readiness. This assessment provides the foundation for all migration planning.

### Key Principles
- **Systematic analysis**: Cover all aspects of the system
- **Quantified findings**: Use metrics where possible
- **Risk identification**: Surface migration risks early
- **Stakeholder input**: Include tribal knowledge
- **Actionable output**: Produce prioritized recommendations

### Implementation Plan

**Directory**: `processes/legacy-codebase-assessment/`

**Files to Create**:
1. **`legacy-codebase-assessment.js`** - Main assessment orchestration

### Process Steps

1. **Inventory Collection**
   - Identify all codebases and repositories
   - Catalog programming languages and frameworks
   - List databases and data stores
   - Map external dependencies
   - Document deployment infrastructure
   - Output: System inventory document

2. **Static Code Analysis**
   - Run code quality tools (SonarQube, CodeClimate)
   - Measure cyclomatic complexity
   - Identify code duplication
   - Assess test coverage
   - Detect security vulnerabilities
   - Output: Code analysis report

3. **Architecture Analysis**
   - Map component dependencies
   - Identify architectural patterns
   - Assess coupling and cohesion
   - Document integration points
   - Identify architectural violations
   - Output: Architecture analysis

4. **Dependency Analysis**
   - Catalog external libraries
   - Check for outdated dependencies
   - Identify security vulnerabilities in deps
   - Assess licensing compliance
   - Map internal dependencies
   - Output: Dependency report

5. **Knowledge Assessment**
   - Review existing documentation
   - Interview key stakeholders
   - Identify tribal knowledge holders
   - Document undocumented features
   - Assess team familiarity
   - Output: Knowledge assessment

6. **Technical Debt Quantification**
   - Categorize technical debt types
   - Estimate remediation effort
   - Prioritize by impact
   - Calculate debt interest (ongoing cost)
   - Output: Technical debt register

7. **Risk Assessment**
   - Identify migration risks
   - Assess risk severity and likelihood
   - Propose mitigation strategies
   - Create risk register
   - Output: Risk assessment

8. **Modernization Readiness Scoring**
   - Score across assessment dimensions
   - Calculate overall readiness
   - Identify blockers and enablers
   - Compare to benchmarks
   - Output: Readiness scorecard

9. **Recommendations Report**
   - Synthesize all findings
   - Prioritize modernization efforts
   - Recommend migration approach
   - Estimate effort and timeline
   - Output: Assessment recommendations

### Inputs
- Codebase access (repositories)
- Documentation (if available)
- Stakeholder availability
- Infrastructure access

### Outputs
- System inventory
- Code analysis report
- Architecture documentation
- Dependency analysis
- Technical debt register
- Risk register
- Readiness scorecard
- Recommendations report

### Breakpoints
- After inventory for validation
- After code analysis for review
- After recommendations for stakeholder approval

### SDK Integration Points
- `ctx.breakpoint()` for review gates
- `ctx.parallel.all()` for parallel analysis
- `defineTask` for each assessment phase
- Tool integration (SonarQube, etc.)

---

## 2. Migration Planning and Roadmap

**Category**: Planning
**Priority**: High
**Implementation Status**: Not Started
**Focus Area**: Strategic Planning

### Overview
A structured process for creating comprehensive migration plans and roadmaps based on assessment findings. Defines migration strategy, phases, timelines, and resource requirements.

### Key Principles
- **Assessment-driven**: Build on legacy assessment findings
- **Risk-based prioritization**: Address highest risks first
- **Incremental delivery**: Deliver value throughout migration
- **Stakeholder alignment**: Ensure business buy-in
- **Realistic planning**: Account for unknowns

### Implementation Plan

**Directory**: `processes/migration-planning/`

### Process Steps

1. **Define Migration Goals**
   - Establish business objectives
   - Define technical goals
   - Set success criteria
   - Identify constraints (budget, timeline, resources)
   - Output: Migration goals document

2. **Select Migration Strategy**
   - Evaluate strategy options per component
   - Choose: Rehost, Replatform, Refactor, Rebuild, Replace, Retire
   - Document rationale for each decision
   - Create ADRs for key decisions
   - Output: Strategy selection matrix

3. **Define Target Architecture**
   - Design future state architecture
   - Select target technologies
   - Plan infrastructure requirements
   - Define integration patterns
   - Output: Target architecture design

4. **Identify Migration Phases**
   - Group components into waves
   - Define phase dependencies
   - Sequence based on risk and value
   - Plan for parallel execution where possible
   - Output: Migration phases

5. **Create Detailed Roadmap**
   - Estimate effort per phase
   - Assign resources
   - Set milestones and checkpoints
   - Plan contingencies
   - Output: Migration roadmap

6. **Plan Data Migration**
   - Assess data migration complexity
   - Define data transformation rules
   - Choose migration approach (big bang, incremental)
   - Plan data validation
   - Output: Data migration plan

7. **Define Testing Strategy**
   - Plan functional equivalence testing
   - Design regression test suite
   - Plan performance validation
   - Define acceptance criteria
   - Output: Testing strategy

8. **Plan Communication**
   - Identify stakeholders
   - Define communication cadence
   - Plan user training
   - Create change management plan
   - Output: Communication plan

9. **Risk Mitigation Planning**
   - Address identified risks
   - Plan rollback procedures
   - Define escalation paths
   - Create contingency plans
   - Output: Risk mitigation plan

10. **Finalize and Approve**
    - Review with stakeholders
    - Incorporate feedback
    - Get formal approval
    - Kick off migration
    - Output: Approved migration plan

### Inputs
- Legacy assessment report
- Business requirements
- Budget and timeline constraints
- Resource availability
- Risk tolerance

### Outputs
- Migration goals document
- Strategy selection matrix
- Target architecture design
- Migration phases and roadmap
- Data migration plan
- Testing strategy
- Communication plan
- Risk mitigation plan
- Approved migration plan

### Breakpoints
- After goal definition for alignment
- After strategy selection for approval
- After roadmap creation for stakeholder sign-off
- Before migration kickoff

### SDK Integration Points
- `ctx.breakpoint()` for approval gates
- `defineTask` for planning phases
- Template generation
- ADR creation integration

---

## 3. Dependency Analysis and Updates

**Category**: Technical
**Priority**: High
**Implementation Status**: Not Started
**Focus Area**: Dependency Management

### Overview
A systematic process for analyzing, updating, and modernizing application dependencies including libraries, frameworks, and external services.

### Key Principles
- **Security first**: Address vulnerabilities immediately
- **Compatibility testing**: Verify after each update
- **Incremental updates**: Update in small batches
- **Rollback ready**: Ability to revert changes
- **Documentation**: Track all changes

### Implementation Plan

**Directory**: `processes/dependency-analysis/`

### Process Steps

1. **Dependency Inventory**
   - Extract all dependencies
   - Categorize (direct vs. transitive)
   - Document current versions
   - Identify dependency managers used
   - Output: Dependency inventory

2. **Vulnerability Assessment**
   - Scan for known vulnerabilities (CVEs)
   - Assess severity of vulnerabilities
   - Identify exploitability
   - Prioritize by risk
   - Output: Vulnerability report

3. **Outdated Dependency Analysis**
   - Check for newer versions
   - Review changelogs for breaking changes
   - Assess update urgency
   - Identify end-of-life dependencies
   - Output: Update recommendations

4. **License Compliance Check**
   - Identify all licenses
   - Check compatibility with project license
   - Flag problematic licenses
   - Document compliance status
   - Output: License compliance report

5. **Update Planning**
   - Prioritize updates (security, compatibility, features)
   - Group related updates
   - Plan testing for each batch
   - Estimate effort
   - Output: Update plan

6. **Execute Updates (Iterative)**
   - Update dependencies in batches
   - Run automated tests
   - Check for breaking changes
   - Fix compatibility issues
   - Commit with clear messages
   - Output: Updated dependencies

7. **Validate Updates**
   - Run full test suite
   - Perform integration testing
   - Check runtime behavior
   - Validate performance
   - Output: Validation report

8. **Document Changes**
   - Update dependency documentation
   - Create changelog entries
   - Document breaking changes and fixes
   - Update lock files
   - Output: Updated documentation

### Inputs
- Codebase with dependency manifests
- Vulnerability databases
- License policies
- Testing infrastructure

### Outputs
- Dependency inventory
- Vulnerability report
- License compliance report
- Update plan
- Updated codebase
- Validation report
- Updated documentation

### Breakpoints
- After vulnerability assessment for prioritization
- Before major version updates
- After batch updates for validation

### SDK Integration Points
- `ctx.breakpoint()` for approval of major updates
- `ctx.parallel.all()` for parallel analysis
- `defineTask` for each analysis phase
- Tool integration (npm audit, Snyk, etc.)

---

## 4. Database Schema Migration

**Category**: Data
**Priority**: High
**Implementation Status**: Not Started
**Focus Area**: Schema Evolution

### Overview
A comprehensive process for migrating database schemas between versions or platforms while ensuring data integrity and minimal downtime.

### Key Principles
- **Data integrity**: Never lose or corrupt data
- **Zero/minimal downtime**: Use expand-contract pattern
- **Reversibility**: Support rollback when possible
- **Validation**: Verify every step
- **Version control**: Track all schema changes

### Implementation Plan

**Directory**: `processes/database-schema-migration/`

### Process Steps

1. **Schema Analysis**
   - Document current schema
   - Identify schema differences (if target exists)
   - Map data types between platforms
   - Identify constraints and relationships
   - Output: Schema analysis document

2. **Migration Script Development**
   - Write migration scripts (Flyway/Liquibase)
   - Use expand-contract for zero downtime
   - Include rollback scripts
   - Version all scripts
   - Output: Migration scripts

3. **Test Environment Preparation**
   - Clone production database
   - Set up test environment
   - Prepare data anonymization if needed
   - Output: Test environment

4. **Test Migration Execution**
   - Run migrations in test
   - Validate schema changes
   - Check data integrity
   - Measure execution time
   - Output: Test results

5. **Data Validation Planning**
   - Define validation queries
   - Set up row count comparisons
   - Create data checksum scripts
   - Plan sample data verification
   - Output: Validation plan

6. **Performance Testing**
   - Run queries against new schema
   - Compare to baseline performance
   - Identify slow queries
   - Optimize indexes if needed
   - Output: Performance report

7. **Application Compatibility Testing**
   - Test application with new schema
   - Verify all queries work
   - Check ORM compatibility
   - Validate transactions
   - Output: Compatibility report

8. **Staging Migration**
   - Run full migration in staging
   - Validate with production-like data
   - Run integration tests
   - Measure downtime (if any)
   - Output: Staging validation

9. **Production Migration Planning**
   - Schedule maintenance window (if needed)
   - Prepare rollback procedures
   - Set up monitoring
   - Brief support team
   - Output: Production plan

10. **Production Migration Execution**
    - Execute migration scripts
    - Monitor for errors
    - Run validation queries
    - Verify application functionality
    - Output: Migration completion report

### Inputs
- Source database schema
- Target database schema (if different platform)
- Data migration requirements
- Downtime constraints
- Test environment

### Outputs
- Schema analysis document
- Migration scripts (versioned)
- Rollback scripts
- Validation queries
- Test results
- Performance report
- Migration completion report

### Breakpoints
- After script development for review
- Before production migration for approval
- After production migration for validation

### SDK Integration Points
- `ctx.breakpoint()` for approval gates
- `defineTask` for migration phases
- Database tool integration
- Monitoring integration

---

## 5. Testing Strategy for Migrations

**Category**: Quality Assurance
**Priority**: High
**Implementation Status**: Not Started
**Focus Area**: Migration Testing

### Overview
A comprehensive process for planning and implementing testing strategies specific to migration projects, ensuring functional equivalence and quality.

### Key Principles
- **Functional equivalence**: Migrated system behaves identically
- **Comprehensive coverage**: Test all critical paths
- **Automated validation**: Minimize manual testing
- **Continuous validation**: Test throughout migration
- **Data validation**: Verify data integrity

### Implementation Plan

**Directory**: `processes/migration-testing-strategy/`

### Process Steps

1. **Test Scope Definition**
   - Identify critical functionality
   - Define test boundaries
   - Prioritize test coverage areas
   - Determine test types needed
   - Output: Test scope document

2. **Characterization Test Development**
   - Capture existing system behavior
   - Create golden master baselines
   - Write approval tests
   - Document edge cases
   - Output: Characterization test suite

3. **Regression Test Planning**
   - Inventory existing tests
   - Identify test gaps
   - Plan new test development
   - Set coverage targets
   - Output: Regression test plan

4. **Data Validation Test Design**
   - Define data comparison queries
   - Create row count validations
   - Design checksum validations
   - Plan sample verification
   - Output: Data validation suite

5. **Integration Test Planning**
   - Map integration points
   - Design contract tests
   - Plan end-to-end scenarios
   - Define test environments
   - Output: Integration test plan

6. **Performance Test Design**
   - Define performance baselines
   - Create load test scenarios
   - Plan stress testing
   - Set performance thresholds
   - Output: Performance test plan

7. **Test Automation Setup**
   - Set up test infrastructure
   - Implement CI/CD integration
   - Configure test reporting
   - Create test data management
   - Output: Automated test framework

8. **Test Execution Planning**
   - Define test execution phases
   - Align with migration phases
   - Plan parallel testing (old vs. new)
   - Set acceptance criteria
   - Output: Test execution schedule

9. **Defect Management Setup**
   - Define severity classifications
   - Establish triage process
   - Set up tracking system
   - Define fix/no-fix criteria
   - Output: Defect management process

10. **Test Reporting**
    - Define reporting metrics
    - Create dashboards
    - Set up automated reports
    - Plan stakeholder communications
    - Output: Test reporting framework

### Inputs
- Legacy system access
- Functional requirements
- Non-functional requirements
- Migration timeline
- Test resources

### Outputs
- Test strategy document
- Characterization test suite
- Regression test plan
- Data validation suite
- Performance test plan
- Automated test framework
- Test execution schedule
- Test reporting dashboard

### Breakpoints
- After characterization tests for baseline approval
- After test automation setup for review
- Before each migration phase for readiness

### SDK Integration Points
- `ctx.breakpoint()` for approval gates
- `ctx.parallel.all()` for parallel test execution
- `defineTask` for each test phase
- Test framework integration

---

## 6. API Modernization

**Category**: Technical
**Priority**: Medium
**Implementation Status**: Not Started
**Focus Area**: API Evolution

### Overview
A process for modernizing legacy APIs to contemporary standards including REST, GraphQL, and modern authentication while maintaining backward compatibility.

### Key Principles
- **Backward compatibility**: Don't break existing consumers
- **Versioning**: Support multiple API versions
- **Standards compliance**: Follow REST/OpenAPI best practices
- **Security**: Modern authentication and authorization
- **Documentation**: Comprehensive API documentation

### Implementation Plan

**Directory**: `processes/api-modernization/`

### Process Steps

1. **Legacy API Inventory**
   - Document existing API endpoints
   - Map request/response formats
   - Identify consumers
   - Analyze usage patterns
   - Output: API inventory

2. **Target API Design**
   - Design modern API structure
   - Create OpenAPI specification
   - Define versioning strategy
   - Plan authentication mechanism
   - Output: Target API design

3. **Backward Compatibility Planning**
   - Identify breaking changes
   - Design compatibility layer
   - Plan deprecation timeline
   - Create consumer migration guide
   - Output: Compatibility plan

4. **API Gateway Setup**
   - Configure API gateway
   - Implement routing rules
   - Set up rate limiting
   - Configure authentication
   - Output: Gateway configuration

5. **Endpoint Migration (Iterative)**
   - Implement new endpoints
   - Create adapter for legacy format
   - Route traffic through gateway
   - Test with sample consumers
   - Output: Migrated endpoints

6. **Consumer Migration Support**
   - Notify consumers of changes
   - Provide migration guides
   - Offer support during transition
   - Track consumer adoption
   - Output: Consumer migration progress

7. **Legacy API Deprecation**
   - Add deprecation headers
   - Monitor legacy usage
   - Set deprecation deadline
   - Communicate to consumers
   - Output: Deprecation timeline

8. **Documentation and SDK Update**
   - Generate API documentation
   - Update client SDKs
   - Create code samples
   - Update developer portal
   - Output: Updated documentation

### Inputs
- Legacy API documentation
- Consumer list
- Usage analytics
- Security requirements

### Outputs
- API inventory
- OpenAPI specification
- Compatibility plan
- Gateway configuration
- Migrated APIs
- API documentation
- Client SDKs

### Breakpoints
- After target design for review
- Before each endpoint migration
- Before deprecation deadlines

---

## 7. Framework Upgrade Process

**Category**: Technical
**Priority**: Medium
**Implementation Status**: Not Started
**Focus Area**: Framework Migration

### Overview
A systematic process for upgrading application frameworks to newer versions while minimizing disruption and ensuring stability.

### Key Principles
- **Incremental upgrades**: Step through versions if needed
- **Breaking change management**: Address changes systematically
- **Test continuously**: Validate after each change
- **Document changes**: Track all modifications
- **Rollback ready**: Ability to revert

### Implementation Plan

**Directory**: `processes/framework-upgrade/`

### Process Steps

1. **Upgrade Path Analysis**
   - Identify current and target versions
   - Review changelogs for breaking changes
   - Determine upgrade path (direct vs. incremental)
   - Estimate effort
   - Output: Upgrade path document

2. **Impact Assessment**
   - Identify affected code areas
   - Map deprecated APIs
   - Assess third-party library compatibility
   - Evaluate configuration changes
   - Output: Impact assessment

3. **Test Suite Preparation**
   - Ensure comprehensive test coverage
   - Add tests for affected areas
   - Set up continuous integration
   - Prepare regression test suite
   - Output: Ready test suite

4. **Dependency Updates**
   - Update related dependencies
   - Resolve version conflicts
   - Test compatibility
   - Output: Updated dependencies

5. **Code Migration (Iterative)**
   - Apply automated migrations (codemods)
   - Update deprecated API usage
   - Modify configurations
   - Fix breaking changes
   - Output: Migrated code

6. **Testing and Validation**
   - Run unit tests
   - Execute integration tests
   - Perform manual testing
   - Validate performance
   - Output: Test results

7. **Staging Deployment**
   - Deploy to staging environment
   - Perform full regression testing
   - Test with production-like data
   - Gather feedback
   - Output: Staging validation

8. **Production Deployment**
   - Plan deployment window
   - Execute deployment
   - Monitor for issues
   - Validate functionality
   - Output: Production deployment

### Inputs
- Current codebase
- Target framework version
- Test suite
- CI/CD pipeline

### Outputs
- Upgrade path document
- Impact assessment
- Migrated codebase
- Test results
- Deployment documentation

### Breakpoints
- After impact assessment for approval
- Before production deployment

---

## 8. Language Version Migration

**Category**: Technical
**Priority**: Medium
**Implementation Status**: Not Started
**Focus Area**: Language Migration

### Overview
A process for migrating codebases to newer programming language versions (e.g., Python 2 to 3, Java 8 to 17) while maintaining functionality.

### Key Principles
- **Compatibility tools**: Use migration tools where available
- **Feature adoption**: Leverage new language features
- **Performance validation**: Ensure no regressions
- **Gradual migration**: Support hybrid state if needed

### Implementation Plan

**Directory**: `processes/language-version-migration/`

### Process Steps

1. **Version Gap Analysis**
   - Document current language version
   - Identify target version features
   - Map breaking changes
   - Assess migration tools
   - Output: Version analysis

2. **Codebase Compatibility Scan**
   - Run compatibility checkers
   - Identify deprecated features used
   - Map syntax changes needed
   - Estimate migration effort
   - Output: Compatibility report

3. **Migration Tool Setup**
   - Configure migration tools (2to3, etc.)
   - Test on sample code
   - Customize migration rules
   - Output: Configured migration tools

4. **Automated Migration**
   - Run migration tools
   - Review automated changes
   - Fix remaining issues manually
   - Update coding standards
   - Output: Migrated code

5. **Manual Fixes**
   - Address issues tools cannot fix
   - Update deprecated patterns
   - Modernize to use new features
   - Apply code style updates
   - Output: Fully migrated code

6. **Testing and Validation**
   - Run test suite with new version
   - Fix failing tests
   - Validate functionality
   - Performance testing
   - Output: Test results

7. **Runtime Environment Update**
   - Update development environments
   - Update CI/CD pipelines
   - Update production runtime
   - Update documentation
   - Output: Updated environments

### Inputs
- Codebase
- Target language version
- Test suite
- Migration tools

### Outputs
- Version analysis
- Compatibility report
- Migrated codebase
- Test results
- Updated environments

### Breakpoints
- After compatibility scan for review
- Before production deployment

---

## 9. Monolith to Microservices

**Category**: Architecture
**Priority**: Medium
**Implementation Status**: Not Started
**Focus Area**: Service Decomposition

### Overview
A comprehensive process for decomposing monolithic applications into microservices using domain-driven design principles and strangler fig pattern.

### Key Principles
- **Domain boundaries**: Services aligned with business capabilities
- **Incremental extraction**: Extract services gradually
- **Data ownership**: Each service owns its data
- **Strangler pattern**: Replace incrementally
- **Independent deployment**: Services deploy independently

### Implementation Plan

**Directory**: `processes/monolith-to-microservices/`

### Process Steps

1. **Domain Analysis**
   - Identify business capabilities
   - Map domain boundaries
   - Create ubiquitous language
   - Define bounded contexts
   - Output: Domain model

2. **Service Identification**
   - Map contexts to services
   - Define service boundaries
   - Identify shared concerns
   - Prioritize extraction order
   - Output: Service candidates

3. **Data Decomposition Planning**
   - Analyze data dependencies
   - Plan database per service
   - Design data synchronization
   - Handle shared data
   - Output: Data decomposition plan

4. **API Contract Definition**
   - Design service APIs
   - Define data contracts
   - Choose communication patterns
   - Document API specifications
   - Output: API contracts

5. **Infrastructure Setup**
   - Set up service mesh
   - Configure API gateway
   - Implement service discovery
   - Set up monitoring
   - Output: Infrastructure

6. **Service Extraction (Iterative)**
   - Extract service code
   - Set up service database
   - Implement API
   - Route traffic via strangler
   - Validate functionality
   - Output: Extracted service

7. **Data Migration**
   - Migrate service data
   - Set up synchronization
   - Validate data integrity
   - Cut over data access
   - Output: Migrated data

8. **Integration Testing**
   - Test service interactions
   - Validate end-to-end flows
   - Test failure scenarios
   - Performance testing
   - Output: Test results

9. **Monolith Cleanup**
   - Remove extracted code
   - Clean up dependencies
   - Reduce monolith scope
   - Update documentation
   - Output: Cleaned monolith

### Inputs
- Monolithic codebase
- Business domain knowledge
- Infrastructure capacity
- Team organization

### Outputs
- Domain model
- Service specifications
- API contracts
- Extracted microservices
- Updated monolith
- Architecture documentation

### Breakpoints
- After domain analysis for validation
- Before each service extraction
- After each service deployment

---

## 10. Cloud Migration Planning

**Category**: Infrastructure
**Priority**: Medium
**Implementation Status**: Not Started
**Focus Area**: Cloud Adoption

### Overview
A structured process for planning migration from on-premises infrastructure to cloud platforms (AWS, Azure, GCP).

### Key Principles
- **Assessment first**: Understand current state fully
- **Right-size**: Optimize for cloud consumption
- **Security by design**: Cloud-native security
- **Cost optimization**: Manage cloud costs
- **Hybrid support**: Plan for transition period

### Implementation Plan

**Directory**: `processes/cloud-migration-planning/`

### Process Steps

1. **Infrastructure Inventory**
   - Document current infrastructure
   - Map applications to infrastructure
   - Identify dependencies
   - Catalog data stores
   - Output: Infrastructure inventory

2. **Cloud Provider Selection**
   - Evaluate provider capabilities
   - Assess cost models
   - Check compliance support
   - Consider existing relationships
   - Output: Provider selection

3. **Migration Strategy Selection**
   - Categorize applications (6 Rs)
   - Prioritize migration order
   - Estimate effort per application
   - Output: Migration strategies

4. **Target Architecture Design**
   - Design cloud architecture
   - Select cloud services
   - Plan networking
   - Design security controls
   - Output: Target architecture

5. **Cost Estimation**
   - Model cloud costs
   - Plan reserved capacity
   - Identify cost optimization
   - Create cost governance
   - Output: Cost projections

6. **Migration Roadmap**
   - Define migration waves
   - Set timeline
   - Allocate resources
   - Identify dependencies
   - Output: Migration roadmap

7. **Security and Compliance Planning**
   - Map compliance requirements
   - Design security controls
   - Plan identity management
   - Define governance policies
   - Output: Security plan

8. **Operational Readiness**
   - Plan monitoring and alerting
   - Define runbooks
   - Train operations team
   - Set up support processes
   - Output: Operations plan

### Inputs
- Current infrastructure documentation
- Application portfolio
- Business requirements
- Budget constraints
- Compliance requirements

### Outputs
- Infrastructure inventory
- Migration strategy document
- Target cloud architecture
- Cost projections
- Migration roadmap
- Security and compliance plan
- Operations plan

### Breakpoints
- After provider selection for approval
- After architecture design for review
- Before migration kickoff

---

## 11. Data Migration Pipeline

**Category**: Data
**Priority**: Advanced
**Implementation Status**: Not Started
**Focus Area**: Data Transformation

### Overview
A process for building and executing data migration pipelines including extraction, transformation, and loading (ETL) between source and target systems.

### Process Steps

1. **Source Data Analysis**
2. **Target Schema Mapping**
3. **Transformation Rules Definition**
4. **Pipeline Development**
5. **Data Quality Validation**
6. **Incremental Migration Setup**
7. **Full Migration Execution**
8. **Data Reconciliation**

### Outputs
- Data mapping document
- Transformation rules
- Migration pipeline code
- Validation reports
- Data reconciliation report

---

## 12. Strangler Fig Implementation

**Category**: Architecture
**Priority**: Advanced
**Implementation Status**: Not Started
**Focus Area**: Incremental Migration

### Overview
A detailed process for implementing the strangler fig pattern to incrementally replace legacy system functionality.

### Process Steps

1. **Identify Migration Boundaries**
2. **Set Up Routing Layer**
3. **Extract First Feature**
4. **Implement Routing Rules**
5. **Test Feature Parity**
6. **Cut Over Traffic**
7. **Monitor and Validate**
8. **Iterate for Next Feature**
9. **Decommission Legacy Component**

### Outputs
- Feature extraction plan
- Routing configuration
- Migrated features
- Decommissioned legacy code

---

## 13. Performance Baseline and Validation

**Category**: Quality
**Priority**: Advanced
**Implementation Status**: Not Started
**Focus Area**: Performance Testing

### Overview
A process for establishing performance baselines before migration and validating performance after migration.

### Process Steps

1. **Baseline Metrics Definition**
2. **Performance Test Design**
3. **Baseline Measurement**
4. **Target Performance Goals**
5. **Post-Migration Testing**
6. **Performance Comparison**
7. **Optimization Recommendations**

### Outputs
- Performance baseline report
- Test scripts
- Performance comparison
- Optimization plan

---

## 14. Security Remediation During Migration

**Category**: Security
**Priority**: Advanced
**Implementation Status**: Not Started
**Focus Area**: Security Improvement

### Overview
A process for identifying and remediating security vulnerabilities as part of migration activities.

### Process Steps

1. **Security Assessment**
2. **Vulnerability Prioritization**
3. **Remediation Planning**
4. **Security Controls Implementation**
5. **Security Testing**
6. **Compliance Validation**

### Outputs
- Security assessment report
- Remediation plan
- Implemented security controls
- Security test results
- Compliance certification

---

## 15. Technical Debt Remediation

**Category**: Quality
**Priority**: Advanced
**Implementation Status**: Not Started
**Focus Area**: Code Quality

### Overview
A systematic process for identifying, prioritizing, and remediating technical debt during modernization efforts.

### Process Steps

1. **Technical Debt Inventory**
2. **Impact Assessment**
3. **Remediation Prioritization**
4. **Refactoring Planning**
5. **Incremental Remediation**
6. **Quality Validation**
7. **Debt Monitoring**

### Outputs
- Technical debt register
- Prioritized remediation backlog
- Refactored code
- Quality metrics improvement

---

## 16. Parallel Run Validation

**Category**: Validation
**Priority**: Operational
**Implementation Status**: Not Started
**Focus Area**: System Comparison

### Overview
A process for running legacy and migrated systems in parallel and comparing outputs to validate functional equivalence.

### Process Steps

1. **Parallel Infrastructure Setup**
2. **Traffic Routing Configuration**
3. **Output Comparison Logic**
4. **Reconciliation Rules**
5. **Discrepancy Analysis**
6. **Issue Resolution**
7. **Confidence Threshold Validation**

### Outputs
- Parallel run infrastructure
- Comparison reports
- Discrepancy log
- Confidence metrics
- Cutover recommendation

---

## 17. Cutover Planning and Execution

**Category**: Operational
**Priority**: Operational
**Implementation Status**: Not Started
**Focus Area**: Deployment

### Overview
A detailed process for planning and executing the cutover from legacy to migrated system.

### Process Steps

1. **Cutover Planning**
2. **Stakeholder Communication**
3. **Pre-Cutover Checklist**
4. **Cutover Execution**
5. **Validation and Smoke Testing**
6. **Rollback Decision Point**
7. **Post-Cutover Monitoring**
8. **Hypercare Period**

### Outputs
- Cutover plan
- Communication plan
- Checklists
- Execution log
- Post-cutover report

---

## 18. Rollback Procedure Implementation

**Category**: Operational
**Priority**: Operational
**Implementation Status**: Not Started
**Focus Area**: Risk Management

### Overview
A process for implementing and testing rollback procedures for migration activities.

### Process Steps

1. **Rollback Trigger Definition**
2. **Rollback Procedure Design**
3. **Data Rollback Planning**
4. **Rollback Script Development**
5. **Rollback Testing**
6. **Documentation and Training**

### Outputs
- Rollback procedures
- Rollback scripts
- Test results
- Runbooks
- Team training materials

---

## 19. Post-Migration Validation

**Category**: Validation
**Priority**: Operational
**Implementation Status**: Not Started
**Focus Area**: Quality Assurance

### Overview
A comprehensive process for validating migrated systems after cutover to ensure all functionality works correctly.

### Process Steps

1. **Functional Validation**
2. **Integration Validation**
3. **Performance Validation**
4. **Security Validation**
5. **Data Integrity Validation**
6. **User Acceptance Testing**
7. **Sign-off and Documentation**

### Outputs
- Validation test results
- Performance metrics
- Security scan results
- Data integrity report
- UAT sign-off
- Migration completion certificate

---

## 20. Legacy System Decommissioning

**Category**: Operational
**Priority**: Operational
**Implementation Status**: Not Started
**Focus Area**: System Retirement

### Overview
A process for safely decommissioning legacy systems after successful migration.

### Process Steps

1. **Pre-Decommission Validation**
2. **Data Archival**
3. **Dependency Verification**
4. **Communication Planning**
5. **Staged Shutdown**
6. **Resource Cleanup**
7. **Documentation Archival**
8. **Final Sign-off**

### Outputs
- Decommission plan
- Archived data
- Dependency audit
- Shutdown log
- Archived documentation
- Closure report

---

## Extended Backlog

### 21. Code Transformation Automation

**Focus**: Automated code conversion using transpilers and codemods
**Key Activities**: Tool selection, rule development, validation, cleanup

### 22. Integration Layer Migration

**Focus**: Modernizing integrations, APIs, and middleware
**Key Activities**: Integration inventory, pattern selection, migration, testing

### 23. Configuration Migration

**Focus**: Migrating application and infrastructure configurations
**Key Activities**: Config inventory, format conversion, validation, deployment

### 24. Documentation Migration

**Focus**: Migrating legacy documentation to modern formats
**Key Activities**: Doc inventory, format conversion, review, publication

### 25. Compliance Validation

**Focus**: Ensuring migrated systems meet regulatory requirements
**Key Activities**: Compliance mapping, control validation, audit preparation

---

## Summary

This backlog contains **25 code migration and modernization processes** organized into five priority tiers:

**High Priority (5 processes)**: Core assessment and planning
**Medium Priority (5 processes)**: Strategic migration activities
**Advanced Priority (5 processes)**: Specialized migration techniques
**Operational Priority (5 processes)**: Execution and validation
**Extended Backlog (5 processes)**: Additional supporting processes

These processes cover the key focus areas:
- Legacy codebase assessment
- Migration planning and roadmap
- Dependency analysis and updates
- API modernization
- Database schema migration
- Framework upgrade process
- Language version migration
- Monolith to microservices
- Cloud migration
- Testing strategy for migrations

Each process integrates with the Babysitter SDK using `defineTask`, `ctx.breakpoint()`, and `ctx.parallel.all()` patterns.

## Next Steps

1. **Implement High Priority processes first** (Assessment, Planning, Dependencies, Database, Testing)
2. **Create reusable task libraries** for common migration activities
3. **Build tool integrations** (SonarQube, migration tools, cloud platforms)
4. **Develop templates** for migration documentation
5. **Gather feedback** from migration practitioners
6. **Iterate and improve** based on real-world usage
