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Description
CAST’s Software Digital Twin provides a deterministic and complete representation of applications by mapping technologies, objects, dependencies, transactions, and data flows, enabling AI to operate with full system context. This “software intelligence” addresses core AI limitations such as lack of contextual understanding, attention dilution, and semantic interference, delivering instead a holistic view of the application landscape.
The integration of CAST Imaging, the MCP protocol, and advanced language models significantly enhances accuracy, predictability, and security across modernization, cloud migration, technical‑debt remediation, framework upgrades, and architectural documentation. Real‑world examples demonstrate how AI—when grounded in the digital twin context—achieves up to 95% accuracy and dramatically reduces time, costs, and operational risks.
The presentation highlights concrete use cases including:
application modernization and cross‑technology transformation (e.g., COBOL → Java)
OSS vulnerability management through “CVE distillation”
fully automated, accurate architectural and API documentation generation
Ultimately, it demonstrates how AI combined with Software Intelligence delivers safer, more precise, and more scalable software engineering, enabling organizations to unlock major productivity and quality gains.
CAST helps businesses and governments understand and transform software through semantic analysis, 3D maps, and dashboards. The platform supports technical debt, GenAI, modernization, and cloud...
