Modernize Legacy Code with KaiBRE Demo

KaiBRE uses Agentic AI to understand the code logic in legacy applications. It identifies decision logic, validations, data dependencies, and conditional flows found in COBOL, VB, RPG, or other older languages. Instead of depending on limited legacy skills, the platform independently reconstructs these rules in easy-to-understand, technology-neutral formats. This allows architects and engineers to design modern systems more confidently.

Most legacy code modernization tools focus on converting code or translating syntax. KaiBRE takes a different approach by extracting the business intent behind the code. It identifies and presents the basic rules, workflows, and functional logic without being tied to language syntax. This helps modernization teams rebuild systems using clear architectures instead of bringing yesterday's complexity into tomorrow's systems.

Yes. KaiBRE is specifically designed for large, multi-module legacy applications where business logic is spread across hundreds of files. Its smart analyzers find redundancies, dead code, inconsistent branching, and hidden data connections. This makes it a strong tool for optimizing legacy code. It turns sprawling, undocumented codebases into organized, usable rule sets ready for re-platforming.

By automating the extraction of business rules from legacy code, KaiBRE reduces the need for manual interpretation, which can be prone to errors and time-consuming. This speeds up impact analysis, reduces rework, and ensures that the modern system accurately reflects the enterprise's operational logic.

Absolutely. Since the extracted rules are provided in a platform-neutral format, teams can modernize legacy code into microservices, low-code platforms, cloud-native architectures, or traditional application stacks. KaiBRE separates business logic from legacy syntax, allowing for smooth re-architecture no matter the chosen modernization path.

Modernization projects often face challenges because critical logic is misunderstood or lost during translation. KaiBRE gives a clear, audit-ready explanation of legacy behavior, which minimizes functional gaps during migration. By showing exactly what the legacy system does instead of what teams think it does, it acts as a valuable tool that significantly reduces risk, dependency, and effort.