Modernization Overview - Autohand Docs

Migration Guide Index

Choose your modernization path from our comprehensive collection of guides:

Modernization Best Practices

Follow these proven practices to ensure successful modernization projects:

Assessment First

Inventory your codebase: Map all languages, frameworks, and dependencies
Identify critical paths: Understand which systems are business-critical
Measure technical debt: Use automated tools to quantify complexity and risk
Estimate effort: Create realistic timelines based on codebase size and complexity

Incremental Approach

Start small: Begin with low-risk modules to build confidence
Parallel execution: Use Git worktrees to modernize multiple modules simultaneously
Frequent checkpoints: Create git commits at regular intervals for easy rollback
Continuous testing: Run tests after each change to catch regressions early

Team Preparation

Upskill team: Train developers on target technologies before migration
Establish standards: Define coding standards for the modernized codebase
Set up CI/CD: Ensure automated testing and deployment pipelines are ready
Document decisions: Record architectural decisions and rationale

Risk Mitigation

Maintain parity: Keep old and new systems running in parallel during transition
Data validation: Verify data integrity after database migrations
Performance testing: Benchmark old vs new systems to ensure no degradation
Rollback plan: Have documented rollback procedures for each phase

AI Agentic Readiness Checklist

Prepare your codebase for AI-assisted modernization by completing these prerequisites:

Code Quality Prerequisites

Build system works reliably: All dependencies install correctly, builds succeed Test coverage exists: At least 40% coverage for critical business logic Tests pass consistently: No flaky tests that would confuse AI agents Linting configured: Code style rules are automated and enforced Type safety where possible: TypeScript, type hints, or similar for better AI understanding

Documentation Prerequisites

README exists: Project setup, build, and run instructions are documented Architecture documented: High-level system design and component relationships API documented: OpenAPI/Swagger specs or similar for service boundaries Business logic documented: Complex rules and edge cases are explained Migration notes: Known issues, gotchas, and historical decisions recorded

Infrastructure Prerequisites

Version control: Git repository with clean commit history Branching strategy: Clear Git workflow (Git Flow, trunk-based, etc.) CI/CD pipeline: Automated build, test, and deployment configured Environment parity: Dev/staging/prod environments are consistent Monitoring in place: Logging and metrics for production systems

AI-Specific Prerequisites

API access configured: Autohand API key set up with appropriate permissions Memory system configured: Project-specific memories for context retention Skills installed: Relevant skills from Skilled for your technology stack Permission modes set: Appropriate security levels for your environment Team trained: Developers understand how to work with AI agents effectively

Security Prerequisites

Secrets management: No hardcoded credentials in code Protected directories: Sensitive paths marked in .autohand config Git worktree isolation: Workspace safety enabled for parallel operations Audit logging: Track all AI agent actions for compliance Review process: Human review required for critical changes

Getting Started Steps

Follow this step-by-step process to begin your modernization journey:

Choose your migration path: Select the appropriate guide from the index above based on your technology stack
Run the readiness checklist: Complete the AI Agentic Readiness Checklist above
Install relevant skills: Browse Skilled and install skills for your specific modernization needs
Initialize Autohand: Run autohand init in your project directory
Run assessment: Use the assessment commands in your chosen guide to understand scope
Create a plan: Generate a modernization roadmap with phases and milestones
Start with a pilot: Choose a low-risk module for your first modernization iteration
Validate and iterate: Test thoroughly, gather feedback, and refine your approach
Scale up: Expand to additional modules using proven patterns from the pilot
Monitor and optimize: Track metrics and continuously improve your process

Next Steps

Code Modernization Guide General best practices and methodology Browse Skills Find specialized modernization skills Legacy Migration Strategies for complex system migrations Enterprise Support Get expert help with your modernization