Top CoreStory Alternatives

CAST Imaging is a software intelligence platform that automatically reverse-engineers complex applications into an interactive, visual map that teams can explore in seconds. It analyzes the full stack—including backend services, frontend components, APIs, frameworks, stored procedures, and databases—across more than 150 languages and technologies. The platform reveals both explicit and implicit relationships, showing exactly how data moves, how objects interact, and how transactions flow across the entire system. AI-powered explanations provide clarity on algorithms, program logic, and architectural decisions that otherwise require extensive manual investigation. Teams can instantly evaluate modernization scenarios, model target architectures, and understand the real impact of code or design changes before implementation. CAST Imaging exposes technical debt and structural issues down to the line of code, guided by ISO 5055 standards for reliability, efficiency, and security. It dramatically accelerates onboarding by replacing outdated documentation with dynamic, searchable knowledge maps. The platform also makes application transformation safer by illuminating hidden dependencies that could derail cloud migrations or microservices initiatives. Whether deployed as SaaS, on-premises, or through CAST partners, it adapts to enterprise security and operational requirements. CAST Imaging ultimately gives organizations the visibility and intelligence they need to modernize confidently and deliver software at a higher standard.

Kuscos emerges as the leading software intelligence platform, whether you are exploring enhancements to a legacy Cobol system from the 90s or looking for sophisticated tactics to advance your C# development projects. It equips development teams, managers, and executives with essential insights into source code modules and team interactions, addressing elements ranging from design documentation and dependencies to duplicate code and violations of quality standards. Furthermore, Kuscos tracks team activities comprehensively, monitoring everything from repository commits to the resolution of various issues, thus providing a holistic view of project progress. Astonishingly, it manages this across more than 16 different programming languages, both legacy and modern. As discussed previously, the Standish Group reports that only 29% of software projects have succeeded in achieving their timelines, budgets, and functional goals over the past five years. Despite the evolution of coding practices and design strategies, the overall rate of project success remains disappointingly low. This highlights an urgent demand for improved management tools, a gap that Kuscos effectively fills, ensuring that teams can navigate projects more efficiently and with greater accountability. With its comprehensive capabilities, Kuscos is poised to revolutionize the way software development projects are managed and executed.

Understand functions as a comprehensive tool for static analysis and code understanding, allowing software developers to visualize and comprehend the complexities of large and intricate codebases, whether they consist of outdated legacy systems, critical safety applications, or contemporary multi-language projects. By analyzing the source code, it constructs an extensive "code dictionary" that documents all entities—such as files, classes, functions, and variables—while also producing essential cross-references, call trees, dependency graphs, and control-flow diagrams. Its suite of interactive and customizable visual tools, including call graphs, control flow graphs, and UML-style class diagrams, empowers users to explore the interconnections among various code components, pinpoint module dependencies, and foresee the potential consequences of alterations throughout the project. Additionally, Understand delivers a thorough assessment of various metrics at different levels—file, class, and function—such as cyclomatic complexity, total lines of code, comment-to-code ratios, and coupling/cohesion, which are crucial indicators of maintainability; these metrics can be conveniently visualized in treemaps and exported in formats like HTML or CSV. This layered methodology not only enhances the understanding of code but also facilitates significant improvements in overall software quality and maintainability, ultimately contributing to more efficient development processes and better long-term project sustainability.

Cut down the time needed for static code analysis from thousands of seconds to mere minutes. Security flaws can be addressed across numerous repositories swiftly, transforming the remediation process into a matter of moments. Moderne streamlines code-remediation tasks, empowering developers to generate increased business value on a daily basis. It enables the automation of extensive, safe changes to codebases that enhance quality, security, cost-efficiency, and overall code integrity. Effectively manage the dependencies within your software supply chain to ensure that your software remains consistently up-to-date. Automatically eliminate code smells without the disruptive scanning associated with traditional SAST or SCA tools, guaranteeing that you always work with high-quality code. This marks the final shift in securing your applications. As modern applications inevitably gather technical debt, they comprise multiple codebases and software ecosystems that incorporate bespoke, third-party, and open-source code. The growing complexity of software development has made the task of maintaining your code increasingly challenging and intricate. Thus, adopting an automated solution becomes essential for keeping pace with these evolving demands.

Visual Expert serves as a comprehensive static code analysis tool tailored for Oracle PL/SQL, SQL Server T-SQL, and PowerBuilder. This powerful utility pinpoints code dependencies, enabling modifications without jeopardizing application stability. In addition, it meticulously inspects your code for security vulnerabilities, quality concerns, performance bottlenecks, and maintainability challenges. It facilitates impact analysis to identify potential breaking changes. The tool performs thorough scans to uncover security flaws, bugs, and maintenance hurdles. You can seamlessly incorporate continuous code inspection into your CI workflow. Furthermore, Visual Expert enhances your understanding of code dynamics, providing detailed documentation through call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). With the capability to automatically generate source code documentation in an HTML format, navigating your code becomes effortless with built-in hyperlinks. The tool also allows for comparison between two code segments, databases, or entire applications. By focusing on maintainability, it helps in cleaning up code to adhere to development standards. Additionally, it evaluates and enhances database code performance by identifying slow objects and SQL queries, optimizing them, and displaying query execution plans for better insights. Overall, Visual Expert is essential for developers aiming to improve code quality and performance.

Velx acts as the intelligent core for AI-enhanced engineering, striving to reduce complexity and improve the reliability of delivery. It transforms undocumented nuances into manageable workflows and measurable speed, automatically assessing architecture, uncovering hidden dependencies, and tracking system health with every code alteration. The Velx framework facilitates a structured three-phase development approach: gathering insights, crafting a strategic plan, and accelerating implementation with human oversight. The Explorer component creates a "System Brain" by connecting to diverse repositories to gather architectural information, detect concealed dependencies, emphasize areas of technical debt, and establish a thorough knowledge base of the complete system, thereby reducing risks tied to informal knowledge sharing. An architect then translates this comprehensive understanding into actionable strategies by considering enterprise constraints, delineating modular boundaries, defining APIs, planning database schemas, and designing phased roadmaps to prevent disorganized growth from the beginning. With Velx, organizations can adeptly manage complexity and effectively achieve their engineering objectives, ensuring a streamlined path to success. By integrating Velx into their processes, teams can enhance collaboration and communication, ultimately leading to more innovative and efficient engineering solutions.

SMART TS XL is an advanced platform tailored for enterprise-level application discovery and software intelligence, enabling organizations to effectively search, analyze, and visualize interdependencies within various codebases, regardless of the underlying programming languages or platforms. It accommodates a diverse array of inputs, such as source code, database schemas, configuration files, documentation, ticketing logs, and JCL, seamlessly integrating both legacy systems like COBOL and AS/400, as well as modern frameworks including Java, .NET, Python, and C++. By bringing all these resources into a unified, searchable repository, SMART TS XL leverages patented indexing technology that can analyze millions to billions of lines of code and deliver results in just seconds. This impressive speed allows users to quickly locate specific fields, error messages, modules, or logic throughout the organization. Additionally, it features dynamic visualizations, such as control-flow diagrams and cross-reference graphs, which enhance comprehension and facilitate impact analysis across intricate systems. This functionality not only streamlines decision-making processes but also aids in the proficient management of software assets within the enterprise. Ultimately, SMART TS XL represents a crucial tool for modern businesses looking to optimize their software development and maintenance workflows.

vFunction breathes new life into Java applications, facilitating a smoother migration to the cloud. It allows for the rapid and automatic extraction of effective microservices from complex monolithic architectures. The platform provides a cohesive interface that manages and tracks extensive cloud migration and modernization projects across an entire suite of applications. Its modernization dashboard governs the entire migration process, aiding in critical decisions regarding whether to refactor, retain, retire, replatform, or rewrite specific applications. Despite the ongoing cloud transformation efforts, there are still hurdles to overcome in the realm of application modernization. It is crucial to support teams in navigating these challenges and speeding up their advancement. As the urgency for modernization grows, relying merely on lift and shift methods proves inadequate. These older applications pose significant challenges for refactoring; however, by harnessing automation and analytics, even the most complex applications can be modernized with greater ease. Seize the chance to confidently tackle more sophisticated projects, assured that you possess the necessary tools to succeed and drive innovation within your organization. Ultimately, embracing this approach not only enhances efficiency but also positions your applications for future growth and adaptability.

The Code Registry is a cutting-edge platform that utilizes artificial intelligence to deliver comprehensive code intelligence and analysis, enabling both companies and individuals without technical backgrounds to gain thorough insights into their software codebases, irrespective of their programming skills. By connecting to code repositories like GitHub, GitLab, Bitbucket, or Azure DevOps, or by simply uploading a zip file of the code, the platform creates a secure "IP Vault" and performs a detailed automated assessment of the complete codebase. This evaluation produces a variety of reports and dashboards, which feature a code-complexity score that measures the sophistication and maintainability of the code, an assessment of open-source components to identify dependencies, licensing concerns, and any outdated or vulnerable libraries, along with a security review that highlights possible vulnerabilities, insecure setups, or risky dependencies. Moreover, it offers a “cost-to-replicate” estimation that calculates the time and resources necessary to recreate or replace the software entirely. By providing these insights, the platform empowers users with the essential tools to improve their understanding of code quality and security, ultimately leading to better-informed decisions throughout the software development process. This robust functionality not only supports developers in identifying weaknesses but also aids organizations in strategically managing their software assets.

MS0 Reverse transforms outdated code from a hindrance into a strategic advantage by employing AI-powered analysis and intelligence that reveals business logic, preserves institutional knowledge, and elucidates complex systems, allowing teams to make well-informed decisions regarding maintenance, refactoring, or modernization. The approach places a strong emphasis on intelligence, ensuring a comprehensive understanding of the system before confidently determining the next steps. It provides a structured knowledge framework through a detailed knowledge graph that maps out the entire operational landscape, including data flows, business logic, dependencies, and inter-program interactions. Diverse stakeholders—such as developers, analysts, architects, executives, compliance teams, product owners, and portfolio managers—can interact with the same systems using natural language, gaining insights from a centralized, governed knowledge layer. Additionally, MS0 Reverse promotes an open architecture through APIs and MCP connectors, enabling the development of tailored tools, partner extensions, and enhanced features. This adaptability not only fosters improved collaboration among teams but also allows organizations to more effectively capitalize on their existing systems. By integrating advanced AI capabilities, MS0 Reverse ensures that businesses can not only sustain but also elevate their technological infrastructures.

AWS Transform is a cutting-edge AI service provided by Amazon Web Services that streamlines the modernization of legacy workloads, especially those tied to .NET, mainframe systems, and VMware environments. By harnessing AWS's wealth of expertise in migration and modernization, this service employs dedicated AI agents to undertake various tasks such as assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, all of which can be executed concurrently to boost the efficiency of large-scale transformations. Different teams can collaborate seamlessly and manage modernization initiatives from inception to completion through a shared workspace and a natural-language chat interface. AWS claims that AWS Transform can speed up the migration of .NET applications by as much as four times, significantly accelerate VMware configuration changes, and reduce mainframe migration durations from several years to just a few months. In addition, this service seeks to decrease expenses related to legacy licensing, infrastructure, and continuous maintenance, making it an essential tool for organizations aiming to optimize their operations. By offering a holistic approach to modernization, AWS Transform not only simplifies the transformation process but also fosters enhanced teamwork among diverse groups, ultimately driving greater efficiency and innovation within organizations.

Establishing connections between various applications, forecasting the repercussions of code modifications, and comprehending intricate Java and .NET codebases—from APIs to databases—is essential. By integrating runtime and binary analysis, a comprehensive graph of the application architecture can be constructed. Gaining insight into the potential effects of code alterations prior to deployment enables precise project scope estimation. Additionally, integrated development environments (IDEs) can assist in uncovering unrecognized software references across multiple projects and applications. However, many tools, including IDEs, typically only disclose dependencies relevant to a single project. In contrast, CodeLogic reveals concealed dependencies that exist between applications and their databases. Our methodology stands apart as we merge binary scanning with runtime profiling, forming a searchable, real-time record system for both database dependencies and code. This intelligence equips application development teams with the ability to evaluate the consequences of schema and code changes ahead of their implementation in a production environment, ultimately leading to more informed decision-making. The ability to visualize these relationships not only enhances understanding but also streamlines the development process significantly.

eXplain is a powerful solution crafted by PKS Software GmbH designed for analyzing code and evaluating legacy systems, particularly focused on conducting thorough assessments of legacy applications on mainframe platforms, such as IBM i (AS/400) and IBM Z. This software provides organizations with valuable insights into the software's structure, content, and helps identify which components could be retained, upgraded, or deprecated. By allowing users to import existing source code into a dedicated "eXplain server," the tool removes the need for installations on the host system and employs advanced parsers to analyze several programming languages, including COBOL, PL/I, Assembler, Natural, RPG, and JCL. Additionally, it examines relevant information from databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain establishes a centralized repository that acts as a knowledge repository, generating cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and detailed reports on resource and object utilization. This functionality enables users to visualize the interrelationships within their code, thereby deepening their comprehension of the software ecosystem. Furthermore, by providing a clearer understanding of their legacy systems, eXplain equips organizations with the tools needed to make strategic decisions about their software's future. Ultimately, the tool enhances operational efficiency and drives informed technological advancements.

EasyCode is an innovative AI solution tailored to understand your codebase effectively. It aids developers by delivering prompt answers to their questions, enhancing their productivity. With context-aware code suggestions, users can gain valuable insights into older projects and easily navigate to the relevant code sections. By integrating ChatGPT directly into your integrated development environment (IDE), it allows for smooth access to contextual responses and recommendations that optimize the workflow of developers. This tool also helps maintain a consistent coding style while providing real-time feedback on code quality. By minimizing the time spent on repetitive tasks, developers can focus more on significant coding endeavors. Furthermore, it encourages better context and knowledge sharing among teams, which boosts collaboration and overall efficiency. In the end, this leads to a more effective and productive development atmosphere, ultimately benefiting the entire project. Embracing such tools can transform how teams approach coding challenges, making their processes more agile and responsive to changes.

COBOL Colleague transforms antiquated COBOL systems by utilizing deterministic AI and knowledge graph technology to interpret, document, and elucidate essential business logic with precision, thereby removing any possibility of confusion or inaccuracies. It adeptly converts legacy code into comprehensible Business Functions, equipping teams with a reliable framework to grasp how their systems work, pinpoint business rule locations, and evaluate the consequences of potential modifications. Instead of spending months manually documenting systems, COBOL Colleague automates the retention of institutional knowledge by dissecting the code, revealing exhaustive business functions that detail every derivation, condition, and dependency that affects each output field. Its distinctive analysis demystifies complex COBOL elements like REDEFINES, CALLS, PERFORMS, and GOTOs, isolating data transformation logic and producing natural language documentation that can be readily shared among both technical and business audiences. By taking this innovative approach, COBOL Colleague not only improves comprehension but also facilitates better communication among teams, ultimately leading to a more streamlined development process. This enhanced collaboration paves the way for quicker adaptations to evolving business needs, further solidifying the value of modernizing legacy systems.

Entrypoint is a comprehensive platform designed for the development, deployment, and management of customized data entry applications, allowing users to access data entry and system administration capabilities from virtually anywhere. This collection of user-friendly tools enables individuals to create, execute, and manage a wide variety of bespoke data entry applications, featuring built-in validation, editing functionalities, and various export options. With a plethora of integrated features, Entrypoint facilitates the incorporation of sophisticated elements such as range checks and table lookups, enhancing the overall user experience. The conventional practice of collecting information through paper forms followed by manually inputting it into a digital system is not only labor-intensive but also susceptible to errors in transcription. By adopting electronic forms for direct data entry into a database, organizations can effectively eliminate the cumbersome intermediary paper process and its associated pitfalls. Additionally, the shift to electronic data capture proves increasingly beneficial for organizations confronting higher data volumes and rising costs, as it promotes streamlined processes and improved efficiency in data management. Therefore, Entrypoint emerges as a vital resource for organizations aiming to upgrade and modernize their data processing methodologies, positioning them for greater success in a digital landscape.

Astadia's CodeTurn is an automated solution crafted to transform outdated source code into modern, maintainable code that maintains complete functional equivalence with its predecessor. This cutting-edge tool proficiently converts an application's source code, ensuring it can operate flawlessly in the same or alternate environments. With its automated capabilities, the modernization initiative provides predictable insights regarding risk, cost, and timeframe, establishing it as a trusted option for businesses. The migrated application operates independently of proprietary Astadia frameworks, relying instead on standard industry technologies for seamless integration. CodeTurn addresses every facet of the conversion process, guaranteeing the delivery of high-quality, functionally equivalent code, and is frequently used in conjunction with other Astadia solutions such as DataTurn for legacy data migration, TestMatch for automated testing, and DataMatch for batch testing automation. By streamlining the modernization process, CodeTurn not only simplifies transitions but also significantly boosts the efficiency of the overall software development lifecycle, making it an invaluable asset for organizations looking to adapt their systems to current standards. This comprehensive approach ensures that companies can transition smoothly while safeguarding the integrity and performance of their applications.

The 3PO Code Translator plays a crucial role in modernizing outdated software by converting legacy systems into contemporary technology stacks through an AI-enhanced legacy code translation tool. Specifically designed for legacy systems, it addresses challenges posed by proprietary programming languages, outdated trading platforms, back-office operations, and customized applications that necessitate a seamless upgrade to modern languages and infrastructures. By leveraging advanced algorithms and machine learning methods, the 3PO meticulously examines and decodes legacy code, enhancing the translation process for precision and effectiveness at each step. It adeptly extracts insights from source code, documentation, and requirements to produce both foundational structures and new source code, enabling teams to transform legacy software into a more valuable asset for their business. This translation approach not only preserves existing functionalities but also boosts performance, documents legacy code thoroughly, suggests frameworks for the updated application, and provides programming recommendations, thereby ensuring a holistic strategy for modernization. This innovative tool seeks to connect the divide between outdated technologies and the evolving requirements of modern software development, ultimately paving the way for enhanced operational capabilities. Furthermore, its ability to streamline the upgrade process can significantly reduce time and costs associated with software transformations, making it an indispensable resource for organizations looking to stay competitive in a rapidly changing tech landscape.

AppFactor significantly reduces the costs and labor typically required for traditional application modernization projects. Once modernization is complete, our platform allows teams to deploy, oversee, and maintain existing applications more effectively and at lower costs, which enhances engineering productivity, modernizes critical business applications, encourages innovation, and helps maintain a competitive edge. Accelerate the process of converting outdated physical and virtual server applications into cloud-native formats, setting the stage for a progressive transformation of architecture, deployment strategies, and enhancements. Intelligently preserve runtime and inter-process relationships from diverse server hosts as they are transitioned into cloud-native environments. Expedite the incorporation of legacy applications into CI/CD pipelines, simplifying the overall development process. Remove outdated physical and virtual infrastructures along with the complexities of managing operating systems. Additionally, facilitate cloud migration by implementing a gradual modernization strategy that embraces more sophisticated cloud solutions, like Kubernetes platforms or PaaS, to ensure a seamless transition into the future. This methodical approach not only improves operational efficiency but also cultivates an atmosphere of ongoing enhancement and creativity within the organization, ultimately positioning it for sustained success in an ever-evolving technological landscape.

Introducing a sophisticated visitor management solution designed to optimize and secure visitor operations. This touchless system utilizes QR codes and facial recognition technology to maintain a clean, tidy, and COVID-safe lobby experience. Enhance your reception processes with an independent visitor self-service kiosk that streamlines operations. The EntryPoint visitor management system easily integrates with existing access control systems, parking solutions, and additional technologies. Users gain access to analytics and real-time reporting on visitor activity. A centralized dashboard facilitates the management of multiple entry points and locations effortlessly. Our versatile visitor management software is fully customizable, making it suitable for a wide range of environments, including corporate offices, educational institutions, factories, residential buildings, hospitals, and various events. Additionally, this system ensures a seamless experience for both visitors and management alike across all settings.

AveriSource propels the modernization of midrange and mainframe systems by employing application intelligence, extracting essential business rules, and harnessing AI-driven transformations. This powerful technology provides a dependable solution for companies aiming to accelerate and enhance their modernization initiatives, offering critical insights, accuracy, and flexibility required for navigating complex legacy modernization projects. It encompasses the full range of modernization processes, from initial assessments to complete refactoring, replatforming, or reimagining projects, ensuring that activities align with modernization goals and empowering teams to make informed strategic decisions. By enabling a comprehensive evaluation of legacy application environments and identifying which applications should be modernized, it helps organizations implement the most effective strategies. Moreover, AveriSource Inventory deepens the understanding of legacy systems by uncovering code insights, identifying redundant files, and validating environmental integrity, thus ensuring a streamlined modernization journey that is responsive to future technological changes. This all-encompassing approach not only equips organizations to modernize successfully but also fosters ongoing innovation in a rapidly changing digital world while positioning them for long-term success.

Intellisys is an innovative platform that utilizes artificial intelligence to aid organizations in modernizing and maintaining their applications, employing intelligent automation to create diverse pathways for transitioning away from obsolete technologies while keeping costs low. It supports a multitude of programming languages and incorporates custom AI/ML technologies that are continuously updated to cater to user requirements. By implementing a systematic approach that includes thorough documentation and analysis, followed by agile extraction of business rules or code optimization and migration, Intellisys significantly mitigates the risks linked to modernization projects. The platform is designed to meet a variety of modernization objectives across different applications and technologies, ensuring that users receive extensive support throughout the entire process. Moreover, Intellisys produces a fully automated collection of reverse-engineering artifacts, which aids teams in examining existing logic, assessing the potential impacts of modifications, and consistently maintaining accurate documentation. This ongoing enhancement not only improves comprehension of the processes involved but also equips organizations with the confidence needed to effectively manage their modernization initiatives. Ultimately, Intellisys positions itself as a vital ally in the journey toward technological advancement, enabling smoother transitions and fostering innovation.

Suga functions as a dynamic engineering tool and developer platform that reimagines conventional infrastructure into a self-service framework, enabling developers to quickly launch applications while providing governance and oversight for platform teams. It features user-friendly drag-and-drop deployment processes, allowing platform teams to create reusable elements—known as “plugins” or “blueprints”—that include services, databases, and storage options for developers to utilize within set parameters to build their applications. Moreover, local development is supported through “cloud-accurate services and data,” which permits developers to enhance their projects without relying entirely on cloud resources. Suga also boasts crucial functionalities such as secure access points, service ingress, infrastructure agents, and an AI assistant named “Suga AI,” which assists in converting user prompts into architectural designs. In addition, platform engineers hold the ability to implement infrastructure updates that benefit all applications, ensuring uniformity throughout the system. This efficient methodology not only speeds up the development process but also nurtures improved synergy between developers and platform teams, ultimately leading to more innovative solutions. By integrating these features, Suga paves the way for a more agile and collaborative development environment.

TCS MasterCraft™ TransformPlus is a cognitive transformation platform that enhances visibility into key business applications by providing an intelligent framework and a centralized knowledge base that is both agnostic to technology and informed by implicit knowledge. This automated conversion solution streamlines modernization and accelerates deployment, allowing businesses to advance their digital transformation initiatives without interrupting their existing operations. It incorporates cognitive code analysis, which delivers an extensive repository of application knowledge along with the ability to externalize business rules. Not only does this platform facilitate the design and execution of data transformation and migration, especially when modernizing legacy systems, but it also supports the development of new digital applications through an automatic code generation system based on model-driven development principles. Furthermore, it includes an automated migration tool for database and language conversion, which significantly enhances the speed of the application transformation process while maintaining high levels of accuracy and efficiency. By harnessing these advanced features, organizations can adeptly manage the challenges presented by digital change, positioning themselves for future success. Ultimately, the integration of such innovative solutions empowers businesses to remain competitive in an ever-evolving digital landscape.

For a considerable amount of time, companies have been under the impression that they would find effective avenues for modernizing applications, innovating digital products, and exploring no-code or low-code development alternatives. Regrettably, these promises have not materialized, resulting in organizations being burdened with a multitude of disjointed solutions that lack the necessary scalability, effectively binding them to proprietary languages and inflexible vendor solutions. Presently, businesses face an urgent need for modernization, as around 80% of their IT budgets are consumed by obsolete legacy systems. There is a mounting demand for swift integrations combined with streamlined, budget-friendly implementation methods. The competition is intense; not only is it tough to secure a portion of the market, but fostering growth has become even more challenging. In order to succeed, companies must develop complex omnichannel digital products that offer exceptional user experiences. Developers are increasingly frustrated, feeling constrained by proprietary programming languages and rising vendor expenses driven by additional features. Consequently, large enterprises are in dire need of the ability to easily build and refine their digital platforms without any restrictions. This demand for flexibility is vital for maintaining their competitive advantage in an ever-changing market, as the ability to adapt quickly can make all the difference in achieving long-term success.

Rocket® Enterprise Analyzer provides unparalleled application intelligence and static analysis, enabling enterprises to gain actionable insights into their most complex mainframe application portfolios. Built to support modernization efforts, it reduces risks and accelerates project timelines by thoroughly analyzing source code, databases, job schedulers, and system definitions at any scale.

Transform your distributed applications, optimize your workflows for greater resilience, and protect against software failures and downtime with Orkes, the leading orchestration platform for developers. Build extensive distributed systems that seamlessly connect microservices, serverless architectures, AI models, event-driven systems, and much more, using any programming language or development framework you prefer. The power lies in your creativity, your coding skills, and your applications—developed, executed, and delivering value to users at an unmatched pace. With Orkes Conductor, you gain the fastest pathway to both create and evolve your applications. Visualize your business logic as simply as if you were drawing on a whiteboard, implement the necessary components in your chosen language and framework, deploy them at scale with minimal setup, and oversee your vast distributed landscape—all while enjoying robust enterprise-grade security and management features that come built-in. This all-encompassing strategy guarantees that your systems will not only be scalable but also resilient against the complexities of contemporary software development, allowing you to focus on innovation rather than maintenance. Embrace the future of application orchestration and empower your development process today.

Mechanical Orchard's Imogen platform effectively revolutionizes mainframe applications by utilizing authentic data flows instead of simply translating existing code, thus upgrading legacy systems into modern code. The journey of modernizing outdated technology often faces obstacles such as quick fixes, difficulties with cloud simulations, accumulated technical liabilities, uncertainties in integration, and the vital stages of transition; nevertheless, Imogen mitigates these risks by applying a behavior-first, test-driven strategy. By shifting the emphasis from code alone, Imogen seeks to comprehend the genuine performance of individual workloads through real data flows, facilitating the construction of an accurate behavioral duplicate of a complex system through a methodical, iterative, and transparent process. It starts by producing a comprehensive behavioral specification derived from the current operational system, followed by a rapid feedback loop that allows for quick code generation and validation against those specifications, ultimately leading to software that is not only of audit-quality but also idiomatic and suitably equipped for future enhancements. This groundbreaking methodology not only improves reliability but also efficiently facilitates the adoption of modern technologies, paving the way for organizations to keep pace with evolving demands. Moreover, the focus on behavior-driven development fosters a deeper understanding of system dynamics, enhancing overall system performance in the long run.

GitView serves as a comprehensive analytics platform tailored for engineering leaders, consolidating all activities within your engineering team into a single, easy-to-navigate interface. This tool allows you to monitor code alterations, pull requests, and reviews seamlessly. By utilizing significant metrics, you can identify which code modifications yield the greatest impact on your projects. Intuitive graphs and tables provide clear insights into impact scores, categorizing changes as new contributions, slow developments, churn, legacy refactoring, or simple deletions. Additionally, it offers DORA metrics such as deployment frequency, lead times for changes, and failure rates. The visual representations of velocity, combined with a detailed breakdown of cycle times, enable you to pinpoint inefficiencies and enhance productivity. Users can filter data across teams, contributors, repositories, and various other parameters to tailor their insights. Our focus on transparency and customization allows you to understand the calculations behind each data point fully. Furthermore, the option to leverage Raw SQL empowers you to generate bespoke reports, dashboards, and automated emails, ensuring you have the precise insights needed for your decision-making processes. This level of flexibility and detail makes GitView an invaluable tool for any engineering organization aiming to optimize its workflow and performance.

Amazon Q Developer is AWS’s most capable generative AI assistant for software development, engineered to enhance productivity across every phase of the build cycle. Available as a plugin for JetBrains, VS Code, Visual Studio, Eclipse, and the command line, it brings real-time code generation, debugging, and documentation directly into the developer’s workspace. Unlike simple autocomplete tools, its agentic capabilities allow it to autonomously complete complex tasks—implementing new features, performing code reviews, running tests, and upgrading legacy applications with minimal human input. It’s deeply integrated with the AWS ecosystem, offering expertise in cloud optimization, cost management, and operational diagnostics. Teams can engage Amazon Q in Slack, Microsoft Teams, GitHub, and GitLab for seamless collaboration, architecture guidance, and incident troubleshooting. The platform also supports data-driven development, helping users build analytics pipelines and machine learning workflows using natural language prompts. Its privacy-first design ensures that proprietary content is never used to train models, while AWS IAM-based access controls maintain enterprise security standards. Internal studies report up to 80% faster development speeds and a 37% acceptance rate for multi-line code suggestions—among the best in the industry. Whether upgrading Java apps, managing DevOps pipelines, or designing AI projects, Amazon Q Developer accelerates innovation while reducing friction. With flexible deployment and perpetual free access for limited use, it’s redefining the developer experience for the AI era.