Alternatives to Phase Change

Navigating large-scale, complex applications doesn't have to be a guessing game. Rocket® COBOL Analyzer™ is a powerful code analysis and visualization toolset designed to demystify your entire application inventory. We help executives, developers, and analysts instantly grasp intricate business relationships and dependencies across your codebase. By transforming tangled code into clear, visual insights, this platform empowers your IT teams to map out changes with total confidence. - Visualize complex application dependencies for a comprehensive, inventory-wide understanding. - Accelerate decision-making and project planning using integrated GenAI-powered insights. - Safeguard your mission-critical operations by predicting the exact impact of every code change before implementation. Eliminate the risk of blind updates and modernize your IT landscape securely. Partner with us to unlock a smarter way to manage your COBOL applications today.

COBOL Colleague revolutionizes outdated COBOL systems by employing deterministic AI and knowledge graph technology to decode, document, and clarify vital business logic with an accurate understanding, eliminating any room for hallucinations or uncertainty. It effectively translates legacy code into easily understandable Business Functions, providing teams with a trustworthy framework to comprehend their systems' operations, identify the location of business rules, and assess the impact of potential changes. Rather than dedicating months to the manual documentation of systems, COBOL Colleague automates the preservation of institutional knowledge by dissecting code, thereby unveiling comprehensive business functions that encompass every derivation, condition, and dependency influencing each output field. Its unique analysis unravels intricate COBOL constructs like REDEFINES, CALLS, PERFORMS, and GOTOs, separating data transformation logic and generating natural language documentation that can be easily shared among both technical and business stakeholders. This innovative approach not only enhances understanding but also streamlines communication between teams, ultimately fostering a more efficient development process.

Maintaining mission-critical systems shouldn't keep you tethered to the past. Rocket® COBOL provides a contemporary development and runtime environment that empowers your enterprise to seamlessly maintain, enhance, and modernize distributed COBOL applications. We bridge the gap between legacy reliability and future innovation, giving your team the tools to deploy low-risk updates to new infrastructure without disrupting everyday workflows. - Seamlessly integrate your existing systems with modern APIs, .NET, and Java platforms. - Transition confidently to cloud, container, and modern IT architectures. - Accelerate development and simplify onboarding for new talent using GenAI-powered insights. Protect your investment while embracing the future of enterprise technology. Partner with us to modernize your COBOL applications today.

Claude Opus 4.1 represents a notable incremental enhancement over its predecessor, Claude Opus 4, designed to elevate coding, agentic reasoning, and data-analysis capabilities while maintaining the same level of deployment complexity. This version boosts coding accuracy to an impressive 74.5 percent on SWE-bench Verified and enhances the depth of research and detailed tracking for agentic search tasks. Furthermore, GitHub has reported significant advancements in multi-file code refactoring, and Rakuten Group emphasizes its ability to accurately identify precise corrections within extensive codebases without introducing any bugs. Independent benchmarks indicate that junior developer test performance has improved by approximately one standard deviation compared to Opus 4, reflecting substantial progress consistent with previous Claude releases.

Your users expect seamless experiences across every device, and your developers need the right tools to deliver them. Rocket® ACUCOBOL-GT® empowers you to build, deploy, and modernize applications across desktop, web, and mobile platforms with ease. We help enterprise developers and independent software vendors turn reliable code into portable, modern solutions that drive real business value. By delivering highly portable, cross-platform capabilities with a low cost of entry, we ensure you can deploy to new markets faster than ever. - Deploy applications effortlessly across diverse operating environments. - Modernize your core systems using a comprehensive suite of advanced development tools. - Expand your reach with flexible, cross-platform solutions designed to meet modern customer demands. Limitless infrastructure means limitless growth. Partner with us to modernize your applications and deliver exceptional value to your users today.

Your core applications are vital to your business, but managing them shouldn't mean relying on outdated tools. Rocket® Visual COBOL® provides a modern development and runtime environment that helps you maintain, enhance, and modernize your distributed COBOL applications with confidence. We empower your engineering teams to work seamlessly in the modern IDEs they already know, such as Visual Studio Code, Visual Studio, and Eclipse. By bringing legacy code into contemporary workflows, we help you remove bottlenecks and build for the future. - Speed up development and simplify onboarding using advanced editing, continuous background compilation, and intelligent debugging tools. - Integrate your core systems smoothly with modern APIs, .NET, and JVM ecosystems. -Deploy low-risk updates across flexible cloud, container, and ARM environments. Build a strong bridge between your reliable foundation and tomorrow's technology. Partner with us to transform your development workflows today.

Natural language search enhances accessibility to internal libraries and recognized patterns, which aids in avoiding outdated code, minimizing dependency issues, and allows more time to tackle unresolved challenges. By simplifying the discovery of internal APIs, it boosts user adoption and diminishes redundancy. Bloop's natural language search provides swift and accurate results, serving as an effective substitute for tedious keyword searches and relying on colleagues for assistance. The tool effectively grasps your codebase, offering concise summaries of complex concepts and clarifying the intentions behind various code segments. Additionally, users can easily initiate a codebase modification following a natural language search, making it suitable for minor adjustments that any team member can execute, regardless of their programming expertise. With precise code navigation across more than ten programming languages, you can efficiently maneuver through references and definitions, significantly accelerating your workflow and enhancing productivity.

Anvil offers businesses that need to handle a large number of PDFs—whether for filling, generating, maintaining, or signing—a flexible and customizable workflow platform that is embedded and driven by logic. This solution allows organizations to efficiently manage their document processes while ensuring a streamlined user experience.

Your legacy data is a valuable source of insight, and accessing it should not be a limitation. Rocket® Relativity® delivers modern relational database access directly to COBOL applications, allowing teams to work with critical data without complex or risky migrations. It connects trusted core systems with modern business tools, transforming static data into meaningful, actionable information. By enabling seamless integration between COBOL file data and contemporary analytics platforms, the solution expands how organizations use and interpret their data. It enhances existing data processing workflows while maintaining stability and avoiding disruption to daily operations. With secure, real-time access through industry-standard ODBC and JDBC connectivity, teams can query and analyze live data with confidence. This approach ensures that valuable business insights are accessible, reliable, and ready to support better decision-making. It offers a practical and efficient way to modernize data strategies while preserving the integrity of existing COBOL applications.

Ispirer nGLFly Wizard manages cross-platform migration. The tool automatically migrates the source code between two languages. The tool can also change the architecture of an application, such as from desktop to web based. The software optimizes migration to reduce time and ensure high-quality migration. We modernize legacy applications. COBOL, Progress 4GL Informix 4GL Delphi, PowerBuilder, and Informix 4GL to modern technologies including WEB architecture provided by the.NET ecosystem and Java ecosystem.

Nova 2 Pro represents the pinnacle of Amazon’s Nova family, offering unmatched reasoning depth for enterprises that depend on advanced AI to solve demanding operational challenges. It supports multimodal inputs including video, audio, and long-form text, allowing it to synthesize diverse information sources and deliver expert-grade insights. Its performance leadership spans complex instruction following, high-stakes decision tasks, agentic workflows, and software engineering use cases. Benchmark testing shows Nova 2 Pro outperforms or matches the latest Claude, GPT, and Gemini models across numerous intelligence and reasoning categories. Equipped with built-in web search and executable code capability, it produces grounded, verifiable responses ideal for enterprise reliability. Organizations also use Nova 2 Pro as a foundation for training smaller, faster models through distillation, making it adaptable for custom deployments. Its multimodal strengths support use cases like video comprehension, multi-document Q&A, and sophisticated data interpretation. Nova 2 Pro ultimately empowers teams to operate with higher accuracy, faster iteration cycles, and safer automation across critical workflows.

Learning a foundational language shouldn't require a high barrier to entry. Rocket® Visual COBOL® Personal Edition is a free, academic-use development environment designed for students and professionals eager to learn COBOL development. We give you the tools to build your skills at no cost, so you can focus entirely on your education and career growth. By integrating natively with the modern IDEs you already know—like Visual Studio Code, Visual Studio, and Eclipse—we make learning intuitive and accessible. - Master COBOL using a free, one-year student license built specifically for education. - Write, compile, and debug code effortlessly within familiar modern IDEs. - Combine COBOL projects with C# and Java using our robust .NET and JVM support. Whether you are a new developer building core skills or an experienced programmer exploring modernization, we empower your growth. Download your free edition and start coding today.

CodexPro is a revolutionary coding assessment solution designed for hiring managers and educational institutes. With an intuitive interface, CodexPro simplifies the evaluation process for both assessors and candidates, making it easy to navigate and evaluate coding skills efficiently. In addition to coding assessments, CodexPro offers English tests, Data Interpretation tests, Arithmetic tests, and Logical Reasoning tests, other essential skills for the industry. This comprehensive suite ensures thorough assessment across multiple domains, providing a holistic view of skills and knowledge. CodexPro stands out for its precision. Accurate evaluations are crucial for selecting candidates or gauging students' progress. Our platform offers industry-relevant coding challenges, advanced analytics, and insightful reports to gain deep insights into performance, strengths, and areas for improvement. Whether hiring for technical roles or evaluating academic performance, CodexPro’s robust features and detailed analytics empower informed, data-driven decisions.

Oxford Semantic Technologies, established by three professors from the University of Oxford, has developed the leading knowledge graph and semantic reasoning engine, RDFox, through extensive research in Knowledge Representation and Reasoning (KRR). This advanced AI reasoning engine emulates human-like reasoning processes, providing exceptional capabilities that prioritize accuracy, truth, and explainability. By generating new insights solely from verified data, RDFox guarantees that its outcomes are firmly based in reality. Its unique incremental reasoning allows for real-time application of AI-driven consequences to the database as information is modified or added, eliminating the need for restarts. Furthermore, this approach ensures that only pertinent data is updated, which streamlines processes by avoiding the need to reevaluate the entire dataset. With its innovative features, RDFox is set to transform the landscape of AI applications.

AgenticOps represents a revolutionary approach that is reshaping enterprise IT operations to align with the requirements of an AI-centric future, utilizing AI agents to convert real-time telemetry, automation, and extensive domain expertise into smart, comprehensive actions that manage workflows across networking, security, and applications within a cohesive platform. Central to this innovation is Cisco’s Deep Network Model, a specialized large language model developed from over four decades of Cisco knowledge, which includes CCIE-level insights, CiscoU educational materials, and practical operational experiences, and has been enhanced through reinforcement learning, chain-of-thought reasoning, and test-time scaling to ensure both accuracy and speed. This sophisticated engine drives AI Canvas, the first generative user interface designed specifically for cross-domain IT operations, which synthesizes live telemetry data into a smart workspace. Users benefit from the integrated Cisco AI Assistant, enabling them to engage in natural language conversations to troubleshoot problems, investigate alternatives, identify root causes, and take corrective measures. This seamless integration of various functionalities enhances operational efficiency, allowing teams to respond swiftly and effectively to evolving challenges. Ultimately, the combination of these advanced technologies paves the way for a more agile and responsive IT environment.

Address intricate business challenges where the margin for error is minimal by leveraging Elemental Cognition AI to create applications that provide clear and demonstrable reasoning. Relying solely on large language models is insufficient for tackling such complex issues effectively. Implement AI solutions that not only investigate but also efficiently address multifaceted problems where precision, accuracy, and clarity are paramount. Transform expert insights into actionable programming through a conversational process, enabling seamless knowledge capture. Elemental Cognition translates accessible English documents into constraint-solving code, ensuring that the underlying business logic is comprehensible, testable, and adjustable. Navigate the complexities of difficult problems while ensuring your application remains on course. Enhance real-time constraint solving and optimization tailored to your organization by utilizing interactive AI that comprehends, reasons through, and resolves complicated trade-offs, ultimately guiding users toward optimal decisions. This approach not only maximizes accuracy but also fosters a deeper understanding among stakeholders regarding the decision-making processes at play.

Claude Sonnet 4 is an advanced AI model that enhances coding, reasoning, and problem-solving capabilities, perfect for developers and businesses in need of reliable AI support. This new version of Claude Sonnet significantly improves its predecessor’s capabilities by excelling in coding tasks and delivering precise, clear reasoning. With a 72.7% score on SWE-bench, it offers exceptional performance in software development, app creation, and problem-solving. Claude Sonnet 4’s improved handling of complex instructions and reduced errors in codebase navigation make it the go-to choice for enhancing productivity in technical workflows and software projects.

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

Legacy Assembler code can be dense, costly to maintain, and reliant on a shrinking talent pool. But modernization doesn't have to be a painful, high-risk process. We partner with you to make the transition seamless. Rocket® Assembler Code Refactoring™ automatically restructures your complex legacy code into modern languages like COBOL, C, or Java—or structured pseudocode—without changing how your applications behave. - Eliminate conversion risk: Our fully automated engine uses mathematically guaranteed logic equivalence, so your refactored code performs exactly like the original. - Accelerate your timeline: Drastically speed up modernization projects with secure, auditable transformations that help prevent costly outages. - Empower your team: Shift away from relying on hard-to-find specialists and make your core systems easier to maintain for the future. Transform your legacy systems with total confidence. Contact us to start your secure modernization journey today.

SQL-Ease for Db2 for z/OS significantly accelerates the processes of application review, debugging, and SQL performance optimization without requiring a departure from the ISPF edit environment. This tool effectively shortens development timelines by enabling developers to test and refine their SQL queries prior to the compilation of the program. Programmers can seamlessly test, debug, and optimize embedded SQL directly within the ISPF editor, utilizing various functions for generating, standardizing, checking, executing, interpreting, and analyzing SQL commands. SQL-Ease is capable of producing syntactically accurate SQL statements, including SELECT, UPDATE, DELETE, INSERT, MERGE, JOIN, UNION, and subselect queries, for languages such as COBOL, Assembler, SPUFI, PL/I, and C, and integrates the SQL into the designated location within the code. Additionally, it can transform manually written SQL into a uniform, easily comprehensible format, verify the syntax of SQL queries, execute SQL from both application programs and the SQL Editor, while also returning results accompanied by crucial execution metrics that aid in further performance tuning. Ultimately, SQL-Ease serves as an indispensable tool for developers looking to enhance their workflow while ensuring high-quality SQL performance.

CodeSonar uses a unified dataflow with symbolic execution analysis to examine the entire application's computations. CodeSonar's static analyze engine is extremely deep and does not rely on pattern matching or similar approximations. It finds 3-5 times more defects than other static analysis tools. SAST tools are able to be easily integrated into any team's software development process, unlike many other tools such as testing tools and compilers. SAST technologies such as CodeSonar attach to existing build environments to add analysis information. CodeSonar works in the same way as a compiler. However, CodeSonar creates an abstraction model of your entire program, instead of creating object codes. CodeSonar's symbolic execution engine analyzes the derived model and makes connections between them.

GPT-5.1 Pro is a premium, research-focused model tier built for users who need the strongest reasoning performance ChatGPT offers. It excels in technical domains such as advanced mathematics, scientific analysis, engineering, complex coding, and financial modeling. The model is engineered to deliver more coherent long-form reasoning, better chain-of-thought structure, and stronger factual grounding than general-purpose versions. With expanded context capacity, GPT-5.1 Pro handles large documents, multi-file analysis, and intricate workflows with ease. It also produces clearer explanations with reduced jargon, making complex insights more accessible without losing technical depth. Designed for demanding professional environments, Pro adheres to strict accuracy expectations while minimizing hallucinations in critical tasks. It is restricted to ChatGPT Pro and Business plans, ensuring dedicated access with no usage caps beyond standard abuse guardrails. Compared to other tiers, GPT-5.1 Pro is purpose-built for users who rely on ChatGPT as a high-precision analytical engine.

Flowcode merges the ease of visual programming with the robust capabilities of traditional coding, enabling users to create rapidly while managing the underlying infrastructure. This allows developers to concentrate on tackling complex logical challenges. With its intuitive drag-and-drop interface, users can utilize powerful logic-based nodes, making it simpler to visually trace API calls for quicker bug detection. The platform facilitates effortless version management, rollbacks, and updates, providing a seamless user experience. Moreover, it enables the integration and orchestration of various AI models to craft tailored AI APIs. Built on Flyde, an open-source visual programming language, Flowcode operates within VS Code and seamlessly integrates with existing TypeScript code, web browsers, and Node.js environments. Users can efficiently address straightforward tasks through visual flows while also delving into intricate logic with custom code nodes. Additionally, it offers the flexibility to export data and APIs for deployment on personal servers, ensuring independence and adaptability. Managing database operations is made easier with abstracted PostgreSQL connections, while users also have the option to link to other databases for more specialized requirements, fostering a versatile programming environment. The combination of these features empowers users to innovate and streamline their workflows effectively.

FairCom RTG transforms COBOL and Btrieve applications by effectively substituting their original file systems with FairCom's sophisticated database engine, which boosts reliability, scalability, and performance while keeping the existing code intact. This solution provides real-time read/write capabilities to live data via modern APIs such as JSON and SQL, streamlining business analytics and reporting without necessitating extra coding efforts. Enhanced features like hot backups, automatic recovery, and ACID-compliant transactions significantly bolster data integrity and system uptime. Furthermore, FairCom RTG accommodates vertical scaling for thousands of users and horizontal scaling through replication to enhance reporting, failover, and overall availability. The newest release showcases a JSON DB API, simplifying the management of COBOL data with straightforward JSON commands, along with Hot Alter Table functionality that allows immediate schema changes without the need to rewrite existing records. In doing so, it provides businesses with the tools they need to adapt swiftly to changing requirements and maintain optimal performance.

Gemini Embedding models, which include the advanced Gemini Embedding 2, are integral to Google's Gemini AI framework and are specifically created to translate text, phrases, sentences, and code into numerical vector forms that encapsulate their semantic significance. In contrast to generative models that create new content, these embedding models convert input into dense vectors that mathematically represent meaning, facilitating the comparison and analysis of information based on conceptual relationships instead of precise wording. This functionality allows for various applications, including semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation processes. Additionally, the model accommodates input in over 100 languages and can handle requests of up to 2048 tokens, enabling it to effectively embed longer texts or code while preserving a deep contextual understanding. Ultimately, the versatility and capability of the Gemini Embedding models play a crucial role in enhancing the efficacy of AI-driven tasks across diverse fields.

Metabob identifies, interprets, and resolves coding issues arising from both human and AI sources. By leveraging advanced graph neural networks for detection and large language models for explanation and resolution, Metabob merges the strengths of both technologies. The graph neural networks analyze and categorize problematic code while maintaining contextual awareness. This problematic code, enriched with relevant context, is then stored in Metabob's backend system. The information retained in the backend is subsequently utilized by an integrated large language model. This model produces tailored explanations and solutions based on the context provided. Metabob's AI has been trained on an extensive dataset of millions of bug fixes executed by skilled developers. With a deep understanding of code logic and context, Metabob is capable of identifying intricate issues that span multiple codebases, automatically creating suitable fixes. The AI code review feature of Metabob can uncover hundreds of logical issues, including race conditions and unhandled edge cases, which often go unnoticed by conventional static analysis tools. This innovative approach not only enhances debugging efficiency but also elevates the overall quality of the codebase.

IBM Developer for z/OS Enterprise Edition is an enterprise-grade development environment built to support modern application development and DevOps practices on IBM z/OS systems. The platform offers a powerful set of Eclipse-based and Visual Studio Code-based tools for creating, maintaining, and debugging applications written in languages such as COBOL, PL/I, HLASM, REXX, Java, and C/C++. It is designed to modernize traditional mainframe development by integrating cloud-enabled workflows, Git-based version control, automated deployment pipelines, and CI/CD processes. Developers can choose between Eclipse, VS Code, or browser-based environments depending on their preferred workflow and skill level. The platform includes advanced debugging tools that support multiple interfaces, including VS Code, Eclipse, and 3270 environments for flexible application analysis and troubleshooting. IBM Developer for z/OS Enterprise Edition also provides code analysis tools such as ZCodeScan for vulnerability detection and code coverage reporting to improve software quality and compliance. Its cloud-enabled development capabilities allow teams to collaborate remotely through browser-based coding environments and scalable infrastructure. The solution integrates with IBM Dependency Based Build and Wazi Deploy to support automated builds and deployments across enterprise environments. Organizations can standardize parallel development processes using Git or traditional library management tools like IBM Engineering Workflow Management and CA Endevor. The platform is designed to improve developer productivity, accelerate modernization initiatives, and create a strong foundation for AI-enhanced mainframe development workflows.

Claude Opus 4 is the pinnacle of AI coding models, leading the way in software engineering tasks with an impressive SWE-bench score of 72.5% and Terminal-bench score of 43.2%. Its ability to handle complex challenges, large codebases, and multiple files simultaneously sets it apart from all other models. Opus 4 excels at coding tasks that require extended focus and problem-solving, automating tasks for software developers, engineers, and data scientists. This AI model doesn’t just perform—it continuously improves its capabilities over time, handling real-world challenges and optimizing workflows with confidence. Available through multiple platforms like Anthropic API, Amazon Bedrock, and Gemini Enterprise Agent Platform, Opus 4 is a must-have for cutting-edge developers and businesses looking to stay ahead.

Utilize sophisticated coding and language models across a diverse range of applications. Harness the power of expansive generative AI models that possess an intricate grasp of both language and code, paving the way for enhanced reasoning and comprehension skills essential for developing innovative applications. These advanced models can be applied to multiple scenarios, including writing support, automatic code creation, and data reasoning. Moreover, ensure responsible AI practices by implementing measures to detect and mitigate potential misuse, all while benefiting from enterprise-level security features offered by Azure. With access to generative models pretrained on vast datasets comprising trillions of words, you can explore new possibilities in language processing, code analysis, reasoning, inferencing, and comprehension. Further personalize these generative models by using labeled datasets tailored to your unique needs through an easy-to-use REST API. Additionally, you can optimize your model's performance by fine-tuning hyperparameters for improved output accuracy. The few-shot learning functionality allows you to provide sample inputs to the API, resulting in more pertinent and context-aware outcomes. This flexibility enhances your ability to meet specific application demands effectively.

eXplain is a robust tool developed by PKS Software GmbH for code analysis and the assessment of legacy systems, specifically aimed at performing in-depth evaluations of legacy applications on mainframe platforms like IBM i (AS/400) and IBM Z. This software allows organizations to gain insights into their software's contents, structural integrity, and identifies components that may be retained, improved, or phased out. By importing existing source code into a standalone "eXplain server," the tool eliminates the necessity for installations on the host system, utilizing sophisticated parsers to scrutinize programming languages such as COBOL, PL/I, Assembler, Natural, RPG, and JCL, along with information pertaining to databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain creates a centralized repository that functions as a knowledge hub, from which it can produce cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and comprehensive reports on object and resource usage. This enables users to visualize relationships within the code, enhancing their understanding of the software landscape. Ultimately, eXplain empowers organizations to make informed decisions regarding the future of their legacy systems.

Sourcery serves as an AI-driven automated code review tool and coding assistant that aims to enhance the quality of code, identify bugs and security vulnerabilities early on, and ensure uniform standards across various projects for developers and engineering teams. It seamlessly integrates with widely-used development platforms like GitHub, GitLab, and integrated development environments (IDEs) such as VS Code and JetBrains, offering immediate, actionable insights on pull requests and in-code edits instead of relying primarily on conventional peer review processes. By leveraging a blend of large language model capabilities and static analysis, Sourcery evaluates code diffs to provide concise summaries, detailed line-by-line recommendations, overarching feedback, and visual representations that clarify suggested modifications, striving to achieve a review standard akin to that of a fellow developer. Within the IDE, it acts as an instant pair programming assistant that highlights possible enhancements, facilitates one-click application of recommendations, and includes an AI chat feature for further support, making it a versatile tool for developers looking to refine their coding practices. Additionally, Sourcery's real-time feedback mechanism fosters a collaborative coding environment, enabling teams to work more efficiently and effectively together.

TraceRoot.AI serves as an open-source, AI-driven observability and debugging platform that aims to assist engineering teams in swiftly addressing production challenges. By merging telemetry data into a unified correlated execution tree, it offers essential causal insights into failures. AI agents leverage this structured representation to summarize problems, identify probable root causes, and even propose actionable solutions or generate GitHub issues and pull requests. Users can engage in interactive trace exploration, featuring zoomable log clusters and detailed views on spans and latency, complemented by insights linked to the code itself. Additionally, lightweight SDKs for Python and TypeScript facilitate effortless instrumentation via OpenTelemetry, accommodating both self-hosted and cloud-based deployments. A key aspect of the platform is its human-in-the-loop interaction, which allows developers to influence the reasoning process by selecting relevant spans or logs, enabling them to validate the agent's reasoning with traceable context. This collaborative approach not only enhances debugging efficiency but also empowers teams with greater control over the issue resolution process.

Rosentic serves as a deterministic code analysis and coordination tool aimed at averting integration issues in scenarios where multiple developers or AI coding agents simultaneously contribute to the same repository. This tool seamlessly integrates into CI/CD pipelines, systematically evaluating each pull request in relation to all other active branches instead of solely focusing on the main branch. Such a method allows it to uncover logical conflicts—like API breaks, schema changes, or mismatches in function signatures—which typical tools and git merge checks often overlook. Functioning as a static analysis engine, it meticulously examines code structure, extracts pertinent symbols, and conducts accurate cross-branch compatibility assessments, thereby ensuring that modifications in one branch do not inadvertently disrupt code being developed in another. Furthermore, it guarantees deterministic outcomes, meaning that any given state of the repository will consistently yield the same results, while also providing precise file paths, line numbers, and comprehensive explanations to facilitate understanding. As a result, developers can confidently collaborate without the fear of unseen integration failures.

Envision extensive arrays of data entities, grasp their interconnections, and fine-tune associated data extractions to formulate ideal test datasets. Facilitate the comparison of files, even those located on different LPARs, thereby enhancing the capability to swiftly and routinely evaluate the repercussions of modifications. Streamline the intricate process of data management and test preparation by allowing developers and test engineers to execute data-related functions without the necessity of programming, scripting, SQL coding, or juggling multiple tools. Empower developers, test engineers, and analysts to achieve greater independence by allowing them to provision data as required, which lessens dependence on subject matter experts. Elevate application quality through improved testing scenarios, making the creation of comprehensive data extracts for testing more straightforward and enabling precise identification of the effects stemming from alterations in data components. By doing so, teams can respond more quickly to changes and enhance their overall productivity.

Morphis Transformer for Automated COBOL Refactoring from Mainframe to Serverless Cloud Solutions When transitioning workloads from a mainframe environment to the cloud, organizations typically consider two main strategies: Re-hosting, which is a straightforward method that maintains the original code with minimal alterations, and Refactoring, a more thoughtful strategy that involves creating new applications in contemporary programming languages derived from legacy systems. Initially, Re-hosting may seem more advantageous due to its lower costs and reduced risks. However, when leveraging high levels of automation in Refactoring, both Re-hosting and Refactoring can be executed in projects that exhibit comparable timelines, risks, and expenses. In this context, we present the Morphis Automated Refactoring approach, specifically designed to facilitate the migration from COBOL/CICS OLTP applications to modern single-page applications, utilizing JavaEE or .NET server logic while seamlessly integrating with cloud-native services. Additionally, this innovative methodology enables organizations to optimize their overall expenses significantly. Ultimately, embracing such a transition can pave the way for enhanced efficiency and agility in application development.

Gemini 3, the latest model from Google DeepMind, establishes a new standard for artificial intelligence by achieving cutting-edge reasoning capabilities and multimodal comprehension across various formats including text, images, and videos. It significantly outperforms its earlier version in critical AI assessments and showcases its strengths in intricate areas like scientific reasoning, advanced programming, spatial reasoning, and visual or video interpretation. The introduction of the innovative “Deep Think” mode takes performance to an even higher level, demonstrating superior reasoning abilities for exceptionally difficult tasks and surpassing the Gemini 3 Pro in evaluations such as Humanity’s Last Exam and ARC-AGI. Now accessible within Google’s ecosystem, Gemini 3 empowers users to engage in learning, developmental projects, and strategic planning with unprecedented sophistication. With context windows extending up to one million tokens and improved media-processing capabilities, along with tailored configurations for various tools, the model enhances precision, depth, and adaptability for practical applications, paving the way for more effective workflows across diverse industries. This advancement signals a transformative shift in how AI can be leveraged for real-world challenges.

CoreStory serves as an advanced code-intelligence platform that leverages artificial intelligence to delve into enterprise codebases, revealing the intricate business logic, architectural frameworks, and technical interdependencies present in older systems. By employing a method of recursive decomposition and recomposition, it simplifies complex applications to create a comprehensive intelligence model that includes business requirements, rules, workflows, system design, and insights at the code level. This interactive platform provides teams with real-time capabilities to inquire about their code, navigate entry points, trace connections, and visualize architecture diagrams, thereby expediting processes such as modernizing legacy applications, maintaining software, governing AI-generated code, and onboarding developers. Additionally, CoreStory facilitates integration through API/MCP with essential engineering systems, allowing for the creation of visual dashboards, such as a business-process explorer, architecture explorer, and code entry-point explorer, further enhancing the user experience and operational efficiency. Ultimately, CoreStory empowers organizations to harness their legacy systems more effectively and make informed decisions regarding their technological infrastructure.

Verdent is an advanced development platform powered by AI, aimed at assisting developers in managing intricate projects and producing code that is both efficient and reliable for production use. It features two main products: Verdent Deck, a desktop application, and Verdent for VS Code, which serves as an integrated extension. Both tools facilitate the operation of multiple AI agents concurrently, utilize DiffLens for clarifying code changes by highlighting modifications and their reasons, offer code reviews driven by GPT-5 technology, implement a Plan-first Alignment for organized execution, and incorporate a browser tool along with a verifier subagent for accuracy checks. Verdent Deck enables developers to efficiently handle numerous tasks with oversight in isolated environments, allowing for asynchronous completion while maintaining a comprehensive view of the project's status and progress. On the other hand, Verdent for VS Code functions as an AI coding assistant that autonomously plans, develops, and verifies tasks directly within the editor, making it particularly beneficial for engineers who prioritize precision, clarity, and reliable outcomes in environments that demand production-grade quality. This dual approach ensures that developers can tackle even the most complex challenges with confidence and effectiveness.

A user-friendly platform allows for the automation of specialized knowledge and the creation of interactive applications without requiring any coding expertise. You can effortlessly create digital solutions that simplify intricate services, all without the need for programming skills. Utilize the easy-to-navigate, visual “drag-and-drop” no-code editor to build your projects. The platform is ISO certified, adheres to GDPR regulations, and boasts bank-grade security along with role-based access controls. Monitor usage patterns, establish key performance indicators (KPIs), and gain valuable insights to empower data-driven decision-making. It ensures smooth compatibility with a variety of industry applications and databases through ready-to-use APIs. The system features a robust business rule engine that allows you to apply logic, generate actions, and take advantage of various integrations. It also includes comprehensive document assembly capabilities alongside automated decision-making processes. Transform any service into a self-service application where you can gather information, apply your business logic, and clearly define deliverables. You can transition from concept to prototype in mere minutes instead of taking months, thus significantly accelerating your development cycle. This platform ultimately enables organizations to enhance efficiency and responsiveness in their operations.

BMC AMI DevX transforms the mainframe development landscape by enabling teams to create high-quality code with increased efficiency, smoother workflows, and a more contemporary development experience. It integrates various stages of the software development lifecycle—including agile development, testing, debugging, promotion, and delivery—into a comprehensive toolchain that caters to developers of all expertise levels. By allowing teams to operate within their preferred environments, like Eclipse and VS Code, it minimizes interruptions and facilitates easier onboarding for newcomers. The platform enhances processes such as editing, building, source code management, approvals, and deployment with its Code Pipeline feature, which promotes simultaneous development, accelerates release cycles, and ensures secure delivery. Furthermore, Code Insights provides developers with immediate visibility into intricate mainframe applications, aiding in the visualization of logic, dependencies, and monolithic structures, while generative AI explanations foster quicker comprehension of complex COBOL, JCL, PL/I, and Assembler code. This holistic approach not only streamlines the development process but also empowers teams to innovate more rapidly and efficiently in a constantly evolving technological landscape.

NVIDIA Alpamayo represents a comprehensive platform of AI models, simulation resources, and datasets aimed at enhancing the evolution of self-driving vehicles equipped with human-like reasoning abilities. At its core lies a suite of Vision-Language-Action (VLA) models that merge visual analysis, language-based logic, and action strategies, empowering vehicles to navigate intricate driving situations and execute decisions incrementally. In contrast to conventional systems that primarily depend on pattern recognition, Alpamayo incorporates chain-of-thought reasoning, enabling autonomous vehicles to comprehend rare or unexpected "long-tail" events while providing explanations for their actions, thereby fostering increased safety and transparency. Furthermore, it seamlessly integrates with NVIDIA’s complete autonomous driving framework, encompassing aspects of training, simulation, and deployment, allowing developers to create sophisticated systems without the need to build foundational infrastructure from the ground up. With these capabilities, Alpamayo not only enhances the functionality of autonomous vehicles but also contributes to the broader goal of making intelligent transportation solutions more accessible.

Lawcadia is an end-to-end legal operations platform for in-house legal teams and law firms. A unique two-sided platform with an intelligent automation engine, Lawcadia transforms the way in-house legal teams and law firms collaborate and solve business problems. In-house legal teams benefit from structured intake and triage, streamlined workflows, accurate instructions, greater control of budgets and law firm engagements, as well as optimised document, email, and matter management. Plus, configurable metrics and dashboards clearly demonstrate the legal function’s value within the organisation. An award-winning legal technology company, Lawcadia have developed Lawcadia Intelligence, an intelligent automation engine that incorporates no-code automation and logic-based workflows with an intuitive end-to-end legal operations platform. Established in 2015, Lawcadia is headquartered in Brisbane, Australia, with significant operations in London and Manila. Our clients are in varied locations across Asia-Pacific, EMEA and North America.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

GPT-5.1 Thinking represents an evolved reasoning model within the GPT-5.1 lineup, engineered to optimize "thinking time" allocation according to the complexity of prompts, allowing for quicker responses to straightforward inquiries while dedicating more resources to tackle challenging issues. In comparison to its earlier version, it demonstrates approximately double the speed on simpler tasks and takes twice as long for more complex ones. The model emphasizes clarity in its responses, minimizing the use of jargon and undefined terminology, which enhances the accessibility and comprehensibility of intricate analytical tasks. It adeptly modifies its reasoning depth, ensuring a more effective equilibrium between rapidity and thoroughness, especially when addressing technical subjects or multi-step inquiries. By fusing substantial reasoning power with enhanced clarity, GPT-5.1 Thinking emerges as an invaluable asset for handling complicated assignments, including in-depth analysis, programming, research, or technical discussions, while simultaneously decreasing unnecessary delays for routine requests. This improved efficiency not only benefits users seeking quick answers but also supports those engaged in more demanding cognitive tasks.

Your mission-critical systems carry the weight of your entire organization. Protecting them shouldn't leave you guessing about hidden vulnerabilities or compliance risks. Rocket® z/Assure™ Vulnerability Analysis Program (VAP) is a specialized mainframe security solution built to proactively scan and safeguard your most valuable environments. By identifying system-level risks before they become active threats, we partner with you to ensure your infrastructure remains locked down, resilient, and fully compliant. We understand the responsibility of managing enterprise security, and our tool gives you the exact insights you need to confidently eliminate weak points. Key benefits for your security team: - Identify and resolve hidden vulnerabilities with deep, automated scanning. - Protect your mission-critical data from evolving external and internal threats. - Streamline compliance reporting with clear, actionable security insights. Take control of your mainframe security. Partner with Rocket Software to protect your digital foundation today.