AI Software Archeology 

At 2Oaks Consulting, we use AI to recover system knowledge when institutional memory is gone, documentation is stale, or the original vendor relationship has broken down.

Our Legacy System Discovery and Requirements Extraction service combines GitHub Copilot, Azure Migrate, and purpose-built Azure OpenAI agents to reverse-engineer undocumented legacy systems, surfacing business logic, technical architecture, and integration dependencies so modernization decisions are made on evidence rather than folklore. t. 

Key Components of Our Service

  • Comprehensive system understanding begins with thorough technical discovery. Our team will: 

    • Conduct non-invasive scans of legacy codebases — including .NET and .NET Framework, Java, SQL, PowerShell, and older languages such as COBOL — using GitHub Copilot in agent mode, GitHub Copilot's @workspace context, and Azure Migrate's application and code assessment tool (AppCAT) 

    • Extract business capabilities, domain rules, and functional requirements directly from source code, stored procedures, and configuration, using custom Azure OpenAI agents grounded in your codebase through Azure AI Search 

    • Identify external integrations, dependencies, feature flags, end-of-life runtimes, and CVE exposure flagged during AI-assisted review 

  • Visual representations make complex systems understandable for the people making the decisions. We help: 

    • Produce architecture, sequence, and deployment diagrams (PlantUML or Mermaid) illustrating system components, data flows, and user interactions, generated iteratively with GitHub Copilot and reviewed by our architects 

    • Document critical workflows, business processes, and module responsibilities in a structured, review-friendly format 

    • Map dependencies and integration points across your technology ecosystem, including Azure, on-premises, and third-party SaaS endpoints 

  • Understanding the current state is what makes future-state planning defensible. We help: 

    • Assess technical, operational, and security risks associated with the current environment, including CVE exposure and architectural anti-patterns surfaced during AI analysis 

    • Identify key-person dependencies, unsupported technologies, and architectural constraints that will shape, or block, any migration path 

    • Provide executive-ready recommendations for modernization priorities and pathways, with a clear handoff to GitHub Copilot App Modernization for downstream .NET and Java upgrade, Azure migration, and containerization execution 

Partner with 2Oaks to recover lost system knowledge and establish the evidence-based foundation needed for confident, informed modernization decisions. 

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