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. Technical debt management tools provide a structured environment for identifying, measuring, and monitoring the costly structural and security compromises within software applications. These tools offer automated analysis at both the code and architectural levels, effectively revealing risks such as defects, “code smells,” dead code, and architectural drift from established best practices. By abstracting the complexities of manual code reviews and dependency mapping, technical debt management tools enable product teams to maintain long-term delivery speed and application quality. The technical debt management market reflects a consolidation of technologies across static and dynamic analysis, software composition, architecture observability to streamline the remediation process. While AI code assistants are increasingly effective at remediating code-level debt, the market is shifting toward managing architectural technical debt — debt that cuts across multiple systems or architecture layers, which is expected to account for 80% of all technical debt by 2027. These tools are essential for businesses aiming to achieve excellence in software engineering and prevent the “breaking point” where accumulated debt leads to unstable performance and soaring maintenance costs.
Software architectural technical debt analysis: Tools must provide high-abstract-level visibility into system dependencies using dependency graphs. This includes architecture complexity indicators and metrics panels to identify tightly coupled modules and architectural drift from established best practices.
Technical debt visualization: Tools need to provide dashboards or reports that visualize and prioritize tech debt, often using metaphors like hot spots or heatmaps to highlight critical issues.
Static code analysis: Tools must have the capability to automatically detect defects, code smells, and dead code. They must also analyze test coverage to identify insufficient verification of business logic, which increases feature-delivery lead time.
Moderne is the Agent Tools company providing the code intelligence, discovery, and deterministic automation coding agents and developers need to analyze, evolve, secure, modernize, and govern large software systems.
The Moderne Platform delivers agent tools for code context, high-speed search, transformation, and change intelligence—purpose-built for enterprise codebases. Teams accelerate framework migrations, dependency upgrades, security remediations, and tech debt reduction across thousands of repositories in parallel. Built on the OpenRewrite auto-refactoring open-source framework, every change is auditable and safe.
Moderne improves the speed and cost of agent work at scale while maintaining governance over both human- and agent-driven development.
Rocket COBOL Analyzer is a software that provides tools for analyzing, understanding, and maintaining COBOL application code. The software offers features such as source code scanning, analysis of program structure, identification of dependencies, and visualization of program flows. It enables users to assess code quality, detect redundancies, and uncover areas for modernization. The software helps organizations address challenges related to COBOL application maintenance by delivering insights into code complexity and supporting efforts to refactor or optimize legacy systems. Rocket COBOL Analyzer aims to assist organizations in effectively managing COBOL assets and planning for modernization or integration projects.
Rocket Enterprise Developer is a software designed to provide integrated development tools for building and maintaining applications across diverse platforms. The software offers features such as advanced debugging, performance analysis, and version control integration to facilitate application lifecycle management. It enables developers to work with various programming languages and frameworks within a unified interface. The software addresses business needs related to modernizing legacy systems, streamlining development processes, and reducing operational overhead by supporting mainframe, midrange, and open systems development. It is geared toward organizations seeking to manage complex application environments with enhanced productivity and consistency in their software development workflows.
Rocket Enterprise Analyzer delivers a wide array of tools and content to support better application understanding, ranging from graphical CIO dashboards to granular developer programs and field insight. This static code analysis tool set, which includes Rocket Enterprise Analyzer, Rocket Enterprise View, and Business Rule Manager, also scales to manage complex, multi‑million‑line application portfolios. Rocket Enterprise Analyzer use cases include Application Portfolio Management (APM), modernization portability and risk assessment, merger and acquisition analysis, activity code quality, application development and maintenance, documentation, and business rule mining. With its integrated GenAI assistance and centralized knowledge repository, Rocket Enterprise Analyzer helps IT teams plan and implement changes confidently by ensuring a complete understanding of their impact across the entire codebase.
EvolveWare's Intellisys Platform, enhanced with various AI technologies, automates key processes involved in modernizing legacy systems in 20+ technologies including COBOL, RPG, PowerBuilder, Java, C#.NET and more. These processes include documentation generation and analysis of existing applications, business rules extraction and optimization and transformation of existing code into modern languages and architectures. The platform extracts metadata from various programming languages, providing a detailed understanding of system functions, dependencies, and data flows. This understanding can then be used for on-going maintenance or to develop a plan for and execute on rationalization or modernization efforts. Through partner studies, Intellisys is proven to reduce time and effort in maintaining and modernizing applications. The platform is web-based and can be installed on-site or hosted, adapting to various security needs.
vFunction is a software designed to automate the process of transforming monolithic Java applications into microservices architectures. The software provides analytics and automation tools that analyze code, identify service boundaries, and extract microservices, enabling organizations to break down legacy applications for improved maintainability and scalability. vFunction utilizes proprietary algorithms to assess technical debt, dependencies, and complexity within applications, helping businesses address modernization challenges and accelerate the migration to cloud-native environments. The software aims to reduce manual effort, minimize risk associated with refactoring, and optimize resource allocation for software development teams seeking to update legacy systems.
CAST Highlight is a software that provides rapid application analysis and software intelligence solutions for organizations looking to assess their application portfolio. The software supports evaluations of code quality, cloud readiness, open source risks, and technical debt across multiple technologies. It automates the discovery of risks associated with open source components and analyzes factors affecting cloud migration by assessing application structure and dependencies. Additionally, CAST Highlight enables organizations to benchmark their portfolio and make decisions based on quantifiable metrics, improving visibility into application health and enhancing planning for modernization initiatives. The software is designed to address challenges related to managing and transforming large and diverse software portfolios.
CAST Imaging is a software designed to automatically analyze and visualize the internal architecture of complex applications by creating interactive blueprints of the software’s source code and dependencies. It maps out the structure and relationships within an application to provide insights into components, data flows, and interdependencies across technologies. This software assists in understanding legacy systems, modernizing applications, supporting technical documentation, enabling impact analysis, and facilitating efficient onboarding for development teams. CAST Imaging addresses challenges in maintaining, transforming, and evolving software systems by offering detailed visibility into code structure and connections, helping organizations manage risk and improve software quality.
CodeMRI is a software that analyzes and evaluates software architecture and code quality. It supports organizations in managing software complexity, improving maintainability, and reducing technical debt by providing insights into the structure of codebases. The software uses automated analysis to identify architectural risks, dependencies, and areas that require attention, enabling organizations to prioritize modernization and refactoring efforts. CodeMRI helps address challenges related to understanding legacy systems, improving software performance, and supporting decision-making in software engineering. The software is utilized in scenarios such as application modernization, technical assessments, and system integration, facilitating a better understanding of code health and architecture for technology teams.
CodeScene is a software designed to analyze codebases by applying machine learning and behavioral code analysis techniques. It identifies patterns related to code health, technical debt, and delivery risks by examining both the code structure and organizational factors such as development activity and change coupling. The software provides visualizations and actionable insights to support teams in prioritizing areas for improvement, monitoring ongoing changes, and reducing maintenance costs. CodeScene integrates with common development workflows, offering early warnings on potential issues and supporting decision-making processes for software quality management.
eXplain is a software designed to facilitate process optimization and knowledge management within organizations. The software enables users to visualize and document workflows, procedures, and business operations by providing tools for the creation and distribution of process maps and manuals. eXplain supports collaborative editing, allowing teams to maintain up-to-date documentation and ensures transparency across departments. The software aims to help organizations standardize procedures, increase efficiency, and reduce errors by making process information accessible and easy to understand. Through its integration capabilities, eXplain assists in aligning existing systems and resources with documented processes, addressing challenges related to process transparency and consistency.
Sigrid is a software developed to support organizations in managing and enhancing their software landscapes by providing comprehensive code analysis and risk assessment features. The software delivers insights into source code quality, maintainability, and security issues through automated scanning and reporting. Sigrid integrates with various development environments and offers recommendations for technical debt management, enabling teams to prioritize improvements and reduce future risks. By offering transparency into software architecture and dependencies, Sigrid assists decision makers in aligning IT operations with business goals, fostering efficient resource allocation and strategic planning. The software aims to address the business challenge of sustaining reliable and secure applications while optimizing development processes.
SonarQube is an automated code review platform that checks your code for quality and security issues, available via cloud or on your own server. SonarQube is an independent review and verification layer to ensure all code—whether written by developers or generated by AI or AI agents—is secure, reliable, and maintainable. SonarQube automatically scans every code change, giving developers clear instructions and suggested fixes to resolve problems before they are merged into the main project.
The experience starts in your editor with SonarQube for IDE, which works with both traditional and AI-native code editors, to highlight problems and suggest fixes. SonarQube also connects directly to your AI coding tools through an MCP server, giving AI assistants the data they need to understand your code's quality and security rules. Originally built by the open-source community, it is now used by over 7 million developers globally.
Velx is a software designed to streamline the management of digital products throughout their lifecycle. It provides tools for planning, development, and delivery of software applications, facilitating collaboration among project teams. The software enables tracking of product progress, feature implementation, and release management, supporting integration with development frameworks and version control systems. Velx addresses challenges in organizing workflows, ensuring transparency in project milestones, and optimizing resource allocation for software development processes. Its functionalities include task assignment, monitoring timelines, and maintaining documentation, which help organizations increase efficiency in shipping software products and managing ongoing enhancements.