Latest news with #ModernePlatform
Business Wire
13-05-2025
- Business
- Business Wire
Moderne and Diffblue Announce Strategic Partnership to Accelerate Enterprise Application Modernization
MIAMI & OXFORD, England--(BUSINESS WIRE)-- Moderne, the automated code refactoring and analysis company, and Diffblue, creators of the world's first AI-powered unit test writing agent, today announced a strategic partnership to deliver an integrated solution for enterprise application modernization. This collaboration combines Moderne's code transformation capabilities with Diffblue's autonomous test generation powered by reinforcement learning to help organizations modernize applications with confidence and speed. 'Combining best-in-class auto-refactoring and agentic test generation creates a new standard of speed and cost-effectiveness that will change how enterprises approach upgrading and rearchitecting their legacy applications.' With the new integration, Moderne and Diffblue customers – which include many Fortune 500 industry leaders – can quickly and efficiently tackle modernization projects by automatically analyzing their code base, generating a comprehensive unit test suite, refactoring their code, and deploying upgraded applications knowing that potential regressions have been caught and addressed. The integrated solution is particularly beneficial for large enterprises facing challenges such as technical debt, legacy system upgrades, and the need for rapid innovation. 'One of the biggest impediments to successful application modernization initiatives is the absence of a solid testing foundation that catches regressions as code is upgraded,' said Jonathan Schneider, CEO and Co-Founder of Moderne. 'By integrating with Diffblue, we're giving customers the ability to both refactor and test automatically—accelerating transformation while reducing risk.' Moderne's platform, built on the OpenRewrite open-source project, enables automated, safe, and scalable code transformations across entire codebases. Its deterministic approach ensures consistent and predictable results, facilitating tasks such as cloud migration, framework upgrades, and security remediation. Diffblue's flagship product, Diffblue Cover, utilizes reinforcement learning to autonomously generate unit tests for Java applications, enhancing code quality and accelerating development cycles. The integration delivers Diffblue's autonomous testing capabilities via an OpenRewrite recipe that can run at scale in the Moderne Platform and serve as a tool for Moderne's multi-repo AI agent, Moddy, providing the coverage and confidence for mass-scale changes. 'Our partnership with Moderne addresses a critical need to reduce the expense and cycle times associated with application modernization,' said Toffer Winslow, CEO of Diffblue. 'Combining best-in-class auto-refactoring and agentic test generation creates a new standard of speed and cost-effectiveness that will change how enterprises approach upgrading and rearchitecting their legacy applications.' To highlight how the integrated solution streamlines application modernization efforts, Schneider and Andy Piper, Diffblue's VP of Engineering, presented a joint demonstration at Code Remix Summit in Miami on Tuesday, May 13th at 9am ET. A webinar featuring a public demonstration of the integrated solution will be held next month, and interested parties can register here. About Moderne: Moderne automates mass-scale code modernization that's critical to the progress and success of enterprise companies today—making a difference in minutes, not months. Moderne is based in Miami, and its investors include Acrew Capital, Intel Capital, True Ventures, Mango Capital, Allstate Strategic Ventures, Morgan Stanley, Amex Ventures, and TIAA Ventures, among other investors and advisors. To learn more, visit About Diffblue: Founded by researchers from the University of Oxford, Diffblue uses game-changing AI technology to fundamentally transform the way developers write code. An early pioneer of generative AI, Diffblue leverages reinforcement learning to automate tedious and error-prone parts of the SLDC (software development lifecycle) with trusted results. Capable of writing unit tests 250x faster than a human developer, Diffblue Cover autonomously helps software teams improve code quality, expand test coverage and increase productivity so they can ship software faster, more frequently, with fewer defects. Diffblue's customers include Citi, ING, Workday, S&P Global, ING, and BNY. To learn more, visit
Business Wire
13-05-2025
- Business
- Business Wire
Azul and Moderne Announce Partnership to Boost Java Developer Productivity
SUNNYVALE, Calif. & MIAMI--(BUSINESS WIRE)-- Azul, the only company 100% focused on Java, and Moderne, the automated code refactoring and analysis company, today announced a technical partnership to help Java development teams identify, remove and refactor unused and dead code to improve productivity and dramatically accelerate modernization initiatives. This collaboration integrates Azul's deep runtime visibility and Java expertise with Moderne's powerful platform for automated, multi-repository, rules-based code refactoring. Together, they enable organizations to continuously secure, maintain and modernize their Java applications with unprecedented scale and precision. Azul + Moderne product integration automatically identifies and removes unused and dead code based on production runtime information Share According to Azul's 2025 State of Java Survey & Report, 62% of survey respondents report that unused or dead code affects DevOps productivity, and 33% cite that more than half of their DevOps team's time is wasted addressing false positives from Java-related security vulnerabilities. To address this, Azul and Moderne have integrated their solutions to bridge runtime insight with automated code remediation. Code Inventory, a feature of Azul Intelligence Cloud, identifies unused or dead code based on production Java runtime data. The Moderne Platform then uses this intelligence via an OpenRewrite recipe to earmark deprecation status and drive precise, large-scale removal of unused code. This integration can save enterprise development teams significant amounts of manual work updating source code and fixing vulnerabilities as part of major Java upgrades and framework migrations. Many organizations are seeking to upgrade and modernize their applications to keep them secure and on supported frameworks and runtimes, but codebases can contain unused or dead code, third-party libraries and open-source components. Over time, teams have added features but not retired code that is no longer run in production, making ongoing maintenance and modernization more difficult and costly. This complicates an organization's innovation efforts and impacts migration speeds and developer productivity. Considering the millions of Java applications being run across enterprises today, this results in a significant amount of developer time lost updating meaningless code that must be constantly maintained and secured. 'This partnership is about more than identifying unused and dead code—it's about removing the barriers to meaningful modernization,' said Jonathan Schneider, co-founder and CEO of Moderne. 'By combining Azul's production-aware insights with Moderne's ability to safely and automatically transform code at scale, we're giving Java teams a clear path from understanding to action. It's a model for how runtime data and automated execution can work together to keep codebases lean, secure and ready for what's next.' 'Application maintenance is not a sexy task for Java developers but is an essential part of keeping applications secure and running on supported modules and infrastructure,' said Scott Sellers, co-founder and CEO at Azul. 'By providing developers with a solution for remediating unused or dead code that is 100% accurate based on production application runtime data, Java teams can focus on updating, migrating and modernizing only the application code that matters, dramatically increasing developer productivity.' For more information on Azul's partnership with Moderne, click here. About Moderne Moderne automates mass-scale code modernization that's critical to the progress and success of enterprise companies today—making a difference in minutes, not months. Moderne is based in Miami, and its investors include Acrew Capital, Intel Capital, True Ventures, Mango Capital, Allstate Strategic Ventures, Morgan Stanley, Amex Ventures, and TIAA Ventures, among other investors and advisors. To learn more, visit About Azul Systems Inc. Headquartered in Sunnyvale, California, Azul provides the Java platform for the modern cloud enterprise. Azul is the only company 100% focused on Java. Millions of Java developers, hundreds of millions of devices and the world's most highly regarded businesses trust Azul to power their applications with exceptional capabilities, performance, security, value, and success. Azul customers include 36% of the Fortune 100, 50% of Forbes top 10 World's Most Valuable Brands, all 10 of the world's top 10 financial trading companies and leading brands like Avaya, Bazaarvoice, BMW, Deutsche Telekom, LG, Mastercard, Mizuho, Priceline, Salesforce, Software AG, and Workday. Learn more at and follow us @azulsystems.
Associated Press
04-03-2025
- Business
- Associated Press
Moderne Unveils Moddy: The First Multi-Repository AI Code Agent for Analyzing and Evolving Large Codebases
MIAMI, March 04, 2025 (GLOBE NEWSWIRE) -- Moderne, the automated code refactoring and analysis company, is proud to announce the launch of the first-ever multi-repository AI agent—code-named Moddy—designed to transform how developers understand and evolve large-scale codebases. Unlike code assistants that operate within a single repository and integrate solely with the developer's IDE, Moddy is a powerful component of the multi-repository Moderne Platform, offering unprecedented power and precision to developers tasked with managing today's sprawling codebases. Moddy is a complementary solution to code assistants in the IDE, like GitHub Copilot, that focus entirely on net-new code authorship. These code assistants rely on IDEs' internal representations of code, limiting them to a single repository at a time. This restriction prevents them from scaling to multi-repo capabilities and unable to address important use cases—such as vendor migrations, security remediations, and dependency upgrades—that require understanding and modifying code across multiple repositories at once. Moddy shatters the single-repo barrier with access to the OpenRewrite Lossless Semantic Tree (LST) code representation and Moderne's unique ability to serialize LSTs. LSTs capture the intricate structure, dependencies, and relationships across multi-repository codebases, which Moddy can use to analyze and modify vast codebases deterministically using thousands of OpenRewrite recipes. 'Moddy opens the door to billions of lines of code. This is a fundamental shift that empowers engineering teams to evolve software faster and with greater confidence, giving businesses the agility to keep pace with change,' said Olga Kundzich, CTO and Co-Founder of Moderne. 'With Moddy, developers can now see and act on the entire codebase, not just the fraction open in their IDE. Think of the ability to onboard a developer to a new codebase in one day rather than six months.' For example, if a developer wants to migrate legacy database usage to PostgreSQL, they can ask Moddy how SQL is used across the organization's entire codebase. Moddy will identify the appropriate Moderne recipe to locate SQL usage, then execute it across all repositories, gathering the results in a structured format. From there, Moddy can analyze the data, cluster results by various dimensions, and pinpoint proprietary legacy SQL syntax that needs updating for PostgreSQL compatibility. The developer can then decide whether to apply deterministic changes using additional OpenRewrite recipes or make manual updates, all while maintaining full visibility into the migration process across the entire business unit. Moddy seamlessly integrates large language models (LLMs) with Moderne's deterministic systems, allowing each to excel at what they do best. The advent of LLM tool-function calling in late 2024 is what enabled this hybrid approach. Suddenly, the thousands of OpenRewrite recipes that already existed in the Moderne marketplace became tools that an LLM could use. LLMs are good at interpreting human requests, while deterministic tools deliver accurate, actionable data. When equipped with accurate data, all LLMs perform remarkably well. The hallucination problem many LLMs face stems from insufficient access to in-depth code data. This synergy allows developers to receive clear, trustworthy insights and execute large-scale code changes with confidence because changes can be validated by the underlying data. In addition, Moddy also has access to knowledge graphs (built through the LLM and recipe interaction) that enable deep understanding of business logic, not just the technology in use. For example, Moddy can answer questions about where payments processing happens in a business unit. Moderne offers a choice of LLM with Moddy (including BYOM). Moderne tested AI models from many providers, and, when enabled with deterministic tools, they all performed well and were undifferentiated. Developers typically have only a tiny fraction of their enterprise code open in their IDE. Moddy changes the game by providing multi-repo visibility, enabling developers to understand and evolve entire codebases—not just the repository in front of them. This leap in capability represents a step function increase in developer productivity, particularly for maintaining, modernizing, and securing complex software environments. Moddy is currently available in an exclusive beta for Moderne customers. For more information, please read this blog post. Merrill Freund
