CodeInsightAI is a GenAI-powered Accelerator for reverse and forward engineering that reduces risks from undocumented systems, bridges legacy skill gaps and accelerates transformation.
Our cutting-edge AI-powered platform, CodeInsightAI, transforms legacy code into an extensive knowledge hub through business requirements, technical specifications, and inventory documentation. The state-of-the-art toolkit enhances reverse and forward engineering efficiency while providing a clear view of logic, data movement, and interdependence. The platform is deployment ready for Azure’s secure, cloud-native platform, and leverages Azure OpenAI Service for advanced LLM capabilities to deliver intelligent, scalable, and compliant AI solutions. It can be deployed within a fully isolated Azure virtual network, ensuring zero public exposure, end-to-end encryption, and policy-driven governance, while aligning with Azure’s global compliance standards.
CodeInsightAI is designed for enterprise IT teams and system integrators managing large-scale modernization programs, where legacy systems and complex architectures pose significant challenges. It benefits engineering teams, product managers and architects responsible for planning and executing modernization initiatives, as well as developers who need to reverse engineer, migrate, and build future-ready applications.
These users often struggle with operational friction caused by outdated documentation, high dependency on SMEs, and time-intensive manual processes. CodeInsightAI addresses these challenges by:
• Reverse engineering via direct code analysis utilizing comprehensive prompt libraries and proprietary context-aware traversal and parsing logic. • Generates domain-contextual business requirements with intelligent validation and interactive feedback loop. • Forward engineering by parsing natural language business requirements and translating them into functional code structures across diverse technology stacks, covering backend, frontend, and database layers. • LLM-enabled solution with Azure-ready architecture, ensuring smooth adoption across diverse IT environments and modernization initiatives.