Gartner defines AI-Augmented Code Modernization Tools as software solutions that use specialized AI agents, generative AI, and deterministic analysis to accelerate the transformation of legacy systems. These tools automate and enhance a broad spectrum of modernization activities, including deep code and architecture analysis, software documentation, dependency mapping, risk assessment, migration planning, and refactoring. By supporting end-to-end modernization workflows, they significantly expedite the adoption of modern software architectures.
The application portfolio management (APM) discipline monitors the business, technical and cost fitness of the application portfolio. It uses factual information and analysis, allowing objective and transparent decisions. Its main objective is to identify, prioritize and propose opportunities to improve the portfolio. Opportunities include replacements, migration, modernization, consolidation and decommissioning. APM tools support the people, processes and information of the APM IT discipline to discover, monitor, analyze and visualize the fitness of the application portfolio and provide recommendations for improvement.
Gartner defines technical debt management tools as software solutions that analyze source code, architecture and dependencies to identify, visualize and prioritize technical debt, structural flaws, and security risks. Delivered via SaaS or self-managed models, these solutions utilize static and dynamic analysis — often augmented by AI — to provide actionable insights for remediation, automate code refactoring, and accelerate cloud migration or modernization initiatives.