Greater Noida: Coforge Limited (NSE: COFORGE), a global digital services and solutions provider, has announced expanded capabilities for Coforge CodeInsightAI, its agentic AI-powered code intelligence and modernization platform.
Coforge CodeInsightAI is part of Forge-X, Coforge’s integrated platform for AI-led engineering and complex enterprise transformation.
Coforge CodeInsightAI is an AI-first platform designed to accelerate enterprise modernization by automating both reverse and forward engineering processes.
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The platform addresses legacy system complexity, technical debt, and fragmented technology ecosystems through a structured agentic AI approach that delivers accuracy, compliance, and completeness at enterprise scale.
Built to enable safe and predictable modernization of large-scale legacy environments, the platform combines multi-agent AI capabilities, large language models (LLMs), and a cloud-agnostic architecture.
It also integrates layered reasoning engines, intelligent auto-validation, and deterministic code analysis to support reliable transformation outcomes.
Enterprises continue to depend on mission-critical legacy systems that are often complex, undocumented, and difficult to modernize. Fragmented ecosystems, rising technical debt, and shrinking legacy skill pools have slowed digital transformation initiatives.
Manual reverse engineering and traditional analysis approaches often create bottlenecks, leading to longer modernization timelines and increased costs.
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Coforge CodeInsightAI Strengthens Enterprise Modernization with Agentic AI
Coforge CodeInsightAI addresses these challenges by moving beyond conventional code scanning to reverse-engineer original intent, business logic, and dependency flows embedded within large and heterogeneous legacy codebases.
Using semantic understanding and direct code analysis, the platform automatically generates audit-ready Business Requirements and Technical Specifications documentation.
The platform’s outputs are validated through an agentic AI pipeline that leverages a comprehensive prompt library, proprietary code traversal logic, intelligent entry-level analysis, and validation mechanisms.
Coforge CodeInsightAI supports multiple programming languages, including COBOL, TPF Assembler, C/C++, PL/I, Tandem COBOL, RPG, PL/SQL, MS SQL, .NET, Universe BASIC, and Java.
“Modernization succeeds when enterprises truly understand what they are transforming,” said Sunil Fernandes, Chief Delivery Officer and Head of Engineering, Coforge.
“Coforge CodeInsightAI bridges the gap between legacy stability and cloud-native agility by transforming complex, undocumented systems into well-structured, modernization-ready assets, giving organizations the clarity and confidence needed to modernize at scale.”
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Beyond reverse engineering, Coforge CodeInsightAI enables forward engineering through full-stack code generation supported by architecture blueprints with embedded design patterns optimized for microservices and API integration.
An interactive feedback loop allows developers to continuously refine outputs using real-time suggestions.
With configurable prompt templates and coding standards, development teams can maintain consistency aligned with organizational best practices.
The platform supports multi-language code generation across technology stacks such as Java, .NET, and Python, and integrates with low-code and no-code platforms including Pega and Appian.
Ongoing enterprise transformation initiatives using Coforge CodeInsightAI are demonstrating measurable results, including faster documentation of mission-critical systems, reduced rework through deterministic dependency graphs, and improved predictability across modernization programs.
CodeInsightAI, part of Forge-X — Coforge’s AI-forward composable platform for portfolio modernization, application development, and maintenance — is now available on AWS and Azure Marketplace.
Coforge CodeInsightAI reinforces Coforge’s positioning in AI-led engineering, supported by investments in talent, innovation, and advanced engineering capabilities to help enterprises convert accumulated technical debt into structured and strategic digital assets.
