AI-assisted modernization of complex legacy applications
Provide an AI development partner that maps undocumented behavior and dependencies in legacy systems, identifies safe modernization boundaries, generates behavioral test coverage, and supports developers through controlled extraction and validation of application logic.
online B2B Service / Consulting / Agency
From IBM Technology — What Is Agentic Coding? How AI Agents Modernize Code at 00:45
Problem: Developers lose 60 to 70% of their time understanding existing systems before making safe changes. Undocumented dependencies, framework incompatibilities, hidden data sharing, and external integrations make modernization risky and can cause incorrect decisions, rejected compliance reports, or customer-impacting failures.
For: Software development teams at financial services companies and other organizations operating complex legacy applications with regulatory, payment, reporting, or external-system dependencies.
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Examples
- A financial services company's large Java application handles customer accounts, loan processing, payments, and reporting pipelines. Its loan decisioning logic is separated while the old and new implementations run in parallel.
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