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AppIQ accelerates legacy modernization by combining AWS‑native, event‑driven architecture with generative AI intelligence. Built on AWS, it leverages CAST (industry-recognized software platform for performing structural analysis on static code) analysis to create a validated structural context, improving accuracy and optimizing token usage. The platform orchestrates agent‑based workflows (via Bedrock AgentCore) to extract business rules and functional insights at deep code levels, tailored for architects, analysts, and developers. By exposing curated knowledge through MCP and integrating with tools like VS Code and AI assistants, AppIQ enables seamless forward engineering, reducing risk and accelerating migration to cloud‑native architectures.
Overview
AppIQ accelerates legacy application modernization by combining an AWS native, event driven architecture with generative AI–driven intelligence. Built entirely on AWS, AppIQ establishes a validated structural context using CAST (industry-recognized software platform for performing structural analysis on static code) analysis, providing a deterministic foundation that constrains agent reasoning, improves accuracy, and optimizes token usage. The platform orchestrates agent based workflows as a first class engineering discipline, powered by a Bedrock AgentCore–based architecture, to extract business rules, process flows, and functional specifications at a deep, code bundle level. These outputs are tailored to the decision needs of key personas across the modernization value stream from architects and analysts to developers and delivery teams. By exposing this curated legacy knowledge through MCP and integrating seamlessly with developer tools such as VS Code and AI pair programmers (for example, Kiro), AppIQ enables forward engineering without disrupting existing development ecosystems, reducing risk while accelerating modernization from legacy stacks to cloud native architectures.
Highlights
- Accelerated modernization of COBOL, RPG, legacy Java, and .NET applications into cloud native architectures. Persona aligned insights and artifacts tailored to the decision needs of legacy developers, BAs, architects, and modernization stakeholders across the value stream.
- Validated structural context powered by CAST (industry‑recognized platform for structural analysis of static code), providing a deterministic foundation that constrains agent reasoning and optimizes token usage. Agent engineering as a first class discipline, enabled through a Bedrock AgentCore–based architecture.
- Improved coverage and accuracy of technical baseline and functional specifications through a bundle level code analysis combining breadth and depth. Optimized developer flow via seamless integration with the existing development ecosystem using MCP and VS Code extensions.
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AILedEngg CSTTeam - ailedengg.cstteam@ltm.com Prashant Kumar Singh - prashantkumar.singh2@ltm.com