reversa-archaeologist

To reverse engineer a legacy codebase, you analyze it module by module to extract algorithms, control-flow graphs, data structures, and a data dictionary. This structured process dissects multi-module repositories to reveal underlying architecture and data models.

Generating a data dictionary from legacy source code requires deep static analysis to identify entities, fields, and relationships. By analyzing the codebase piece by piece, you can build a structured dictionary to support documentation and compliance.

Extracting algorithms and control flow from undocumented legacy code involves deep module-by-module analysis. This process maps key control-flow graphs and algorithmic logic, providing thorough engineering insights for documentation and refactoring.

Yes, deep code analysis can map the architecture of a multi-module repository. It dissects the codebase piece by piece to reveal the overall structure, data models, and module relationships for thorough reverse engineering.

Static analysis for reverse engineering is needed when dealing with large, multi-module legacy repositories where manual review is unscalable. It automates the extraction of algorithms, control-flow, and data structures to produce structured engineering documentation.

Yes, the reversa-archaeologist Skill supports structured output generation. It produces plan-based artifacts and a structured data dictionary of entities and relationships, directly supporting documentation and compliance requirements.