Unwind analyzes and documents legacy codebases to enable AI-driven rebuilds. Operations teams use it to create machine-readable documentation and phased rebuild plans. It connects to existing codebases and integrates with AI agents for modernization.
git clone https://github.com/cliftonc/unwind.gitUnwind analyzes and documents legacy codebases to enable AI-driven rebuilds. Operations teams use it to create machine-readable documentation and phased rebuild plans. It connects to existing codebases and integrates with AI agents for modernization.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/cliftonc/unwindCopy the install command above and run it in your terminal.
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Analyze the following legacy codebase for [COMPANY] in the [INDUSTRY] sector. Generate machine-readable documentation and a phased rebuild plan. Focus on [DATA] as a critical component. Provide a summary of key findings and recommendations.
# Legacy Codebase Analysis for GreenTech Solutions ## Key Findings - **Codebase Age**: 15 years old, primarily written in COBOL and Fortran - **Critical Systems**: 80% of core business logic resides in legacy systems - **Dependencies**: 32 external integrations, 15 of which are deprecated - **Security Risks**: 48 identified vulnerabilities, 12 critical ## Phased Rebuild Plan ### Phase 1: Documentation & Assessment (Weeks 1-4) - Complete machine-readable documentation - Identify critical paths and dependencies - Assess security vulnerabilities ### Phase 2: Modular Rebuild (Weeks 5-12) - Rebuild core modules in modern languages (Python, Java) - Maintain legacy system interfaces - Implement security patches ### Phase 3: System Migration (Weeks 13-20) - Gradual migration to new systems - Parallel run legacy and new systems - Full cutover and decommission legacy systems ## Recommendations - Prioritize rebuilding payment processing and customer data modules - Allocate additional resources to security remediation - Consider cloud migration for improved scalability
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