Amazon Q Developer customers

“At ADP, we've been grappling with the challenge of understanding and documenting our legacy mainframe systems while streamlining our modernization journey. Previously, it took our subject matter experts two weeks to manually sift through complex connections and trace back program logic to identify critical fields in our legacy COBOL systems. This time-consuming process was a significant drain on our resources and required considerable manual effort. With thousands of legacy programs, repeating this manually was not scalable and posed a bottleneck in our modernization efforts. By leveraging Amazon Q Developer's transformation capabilities, we were able to generate comprehensive, AI-driven documentation, providing deep insights in minutes. This gave us a clear understanding of how different programs are interconnected, the various business rules embedded in the code in simple natural language, and error handling—insights that would have taken our experts weeks to uncover manually. Amazon Q Developer's ability to deeply understand both the primary code and its dependencies, while generating comprehensive documentation not only from code within the main program but also from related modules, components, and table definitions, ensured a holistic and thorough explanation of the entire codebase. This approach reduced the time required to document a set of programs from weeks to under a day—a radical shift in how we approach modernization.”

Anuradha Verma, Vice President, ADP

Ancileo insurance SaaS provides secure and customizable enterprise technology solutions for insurers, re-insurers, brokers, and affinity partners.

"Ancileo is using Amazon Q to supercharge our developers by helping them understand existing code base and troubleshoot directly in their IDE. This allows our team to reduce time to resolve coding-related issues by 30%. Even our architects use it to help find the best solutions to specific problems based on context. We have been so impressed that we are now integrating ticketing and documentation with Amazon Q to speed up onboarding and allow anyone in our company to quickly find their answers!" 

Sylvain Dutzer, CTO, Ancileo

Availity is the nation’s largest real-time health information network.

"Availity is the nation’s largest real-time health information network. "Amazon Q Developer is a valuable tool that has enhanced our efficiency and enabled us to deliver high-quality code consistently across multiple projects. Amazon Q Developer has been instrumental in boosting code quality across our organization and helping Availity maintain its high security standards."

Rob Warner, Director of AI Automation Development, Availity

BlackBerry, a marquee Canadian brand known for enterprise software in cybersecurity and IOT has harnessed the power of generative AI to increase developer productivity and transform business outcomes.

"At BlackBerry many of our teams are using Amazon Q Developer to accelerate our development work and improve our colleagues' and customers' experiences. Our development velocity has increased because of Amazon Q’s code suggestions and remediation capability. Amazon Q Developer has transformed the speed, agility, and quality of our software development lifecycle."

Jesse Harold, Chief Information Officer, BlackBerry

bolttech is an international insurtech offering a technology-enabled ecosystem for protection and insurance products across more than 35 markets in North America, Asia, Europe, and Africa.

"At bolttech, we have been looking to remove redundant and manual tasks from our software development cycle so we can increase our speed of going to market. Amazon Q has revolutionized our development workflows, streamlining code documentation and code generation processes. With Amazon Q Developer, we've been able to reduce the time spent on updating code documentation files by a staggering 75%, freeing up valuable development time. Additionally, generating comprehensive DocStrings for Python code development, a task that was once tedious and time-consuming, now takes mere seconds with Amazon Q, resulting in a 90% time savings. Our developers can now focus more on coding and multitasking without significant distractions. Based on our evaluation, Amazon Q has not only increased our developer productivity but has also contributed to improved overall code quality and faster delivery velocity."

Harmit Singh, Group Head of Advanced Product Engineering, bolttech

"While looking to modernize one of our core products, we wanted to migrate data validation and business logic from lengthy stored procedures in SQL Server with .NET to a more flexible solution based on AWS Lambda functions written in Python leveraging Amazon Aurora. This would allow us to modernize our hosting environment and reduce operation and licensing costs. This would have easily taken weeks to rewrite manually, and potentially introduced errors or anti-patterns, as the team aren't experts in either of these technologies. By using Amazon Q Developer to rearchitect and rewrite these procedures, we were able to complete the task in less than a day. Amazon Q Developer even helped document the function and generate tests, delivering high quality code that follows best practices. Amazon Q Developer acted as a team of experts at our fingertips, and a sounding board to help validate that the approach and solution would work for our needs. It took away the limitation that you need to be an expert on SQL Server stored procedures or Lambda functions written in Python."

Rajeev Sudarsan, Chief Software Architect (R&C)

"At Constems-AI, we're leveraging Amazon Q Developer to revolutionize our development process for Real-Time Image Recognition solutions in retail. Q Developer has significantly accelerated our ability to build and refine AI-powered image recognition features. Our developers use it to quickly understand and optimize complex code, reducing development time by 25%. With Amazon Q Developer, we've enhanced our development velocity and the quality of our AI solutions, enabling us to exceed client expectations in the competitive retail tech landscape.”

Amit Srivastava, Co-Founder & Global CTO, Constems-AI

“The documentation generated by Amazon Q Developer Transform for Mainframe has been nothing short of transformative. The quality and depth the generated documentation is remarkable. The Amazon Q Transform for Mainframe exceeds expectations already and can’t wait to see additional features you’ll be adding over the next several months. Our legacy platforms are monolithic and tightly coupled systems, and the lack of current documentation has been a significant bottleneck in understanding our current state better. Without a clear understanding of our existing codebase, planning and executing a modernization journey seemed unimaginable. We started by analyzing our existing codebase and dependencies earlier this year, but quickly realized this was a mammoth task that could take months, if not years. Amazon Q Developer Transform for Mainframe has been a game-changer for us. The Agentic framework with its intuitive web UI has simplified our modernization journey, making it more efficient and impactful. We were able to analyze our codebase and identify missing dependencies in minutes, a process that could have taken us many months. The tool documented several programs in just a few hours, a feat that is impossible to achieve manually for my teams. The business logic summarization and detailed insights on various aspects of our code have been delightful and incredibly useful for different personas across our company. The tool's capability to decompose monolithic systems into smaller domain modules and provide an interactive modernization plan using its AI has made life simpler for our developers and modernization experts. I am very excited to continue our partnership with AWS on this modernization initiative. Amazon Q Developer Transform for Mainframe is a true leap forward in mainframe modernization, achieving what we once thought was impossible. This is like having a mainframe GenAI expert on our team, and it has proven to be an invaluable addition to our modernization efforts.”

Subbu K, Vice President, Engineering, CDS Global, a Hearst company

"At Coalfire, Amazon Q Developer helps us enhance code quality, identify vulnerabilities, and promote best practices. Our developers leverage it for refactoring code, generating MongoDB queries, addressing SonarQube recommendations, and creating comprehensive tests for Angular components with ease. On average, 30% of its suggestions are accepted across Python, Typescript, and C#, resulting in cleaner, optimized code. By embracing Amazon Q Developer, we've fostered continuous improvement while empowering our developers to focus on core logic, free from repetitive tasks."

Michael Yip, VP, Engineering

"We have seamlessly integrated Amazon Q Developer into our development workflow since its inception. The introduction of this extension to our IDE has proven to be a considerable boon. Noteworthy is the discernible reduction in time spent by our development team searching for pertinent information and consulting external resources. By embracing best practices, we have unlocked a plethora of possibilities for our platform. This is particularly beneficial for our team members who are relatively new to AWS programming, as it steers them towards inadvertently opting for Lambda, DynamoDB, and similar services instead of deploying tasks using alternative technologies. The onboarding process for new team members lacking prior experience in cloud computing has become notably smoother. They can now deploy serverless projects within a matter of days, achieving a remarkable efficiency improvement of at least 70%. Looking ahead, we are eager to expand this integration to encompass data retrieval from our code repositories and knowledge base."

Yazid Yahya, Product Development, Datapel Systems

"Leveraging Amazon Q's innovative platform and industry-leading suite of LLMs, DAT supercharges its teams, revolutionizing FAQ handling, content generation, and boosting CSAT scores. This emerging technology empowers engineering with instant Slack-accessible insights, slashing cloud team tickets. Amazon Q paves our innovation path, unlocking functionalities, diving deep into AI insights, and magnifying customer value. Integrating Amazon Q Developer and Amazon Q Business tools transforms workflows and customer service, marking our stride towards excellence. Join us as we embrace this thrilling journey with Amazon Q at DAT Freight & Analytics, setting new benchmarks in innovation and customer satisfaction."

Brian Gill, CTO, DAT Freight & Analytics

“Our Cyber Cloud Managed Services (CCMS) development team embraces modern practices, integrating four critical workstreams—Engineering, Development, Testing, & SecOps—in order to enable efficiency and security throughout a project lifecycle. Amazon Q Developer assists us in assessing security practices, evaluating architectural decisions, serving as an extensive lookup assistant, inspecting and documenting code, generating code blocks, creating unit tests, and continuously reviewing and enforcing internal coding and security leading practices. For example, during one engagement, integrating Amazon Q Developer across these four areas resulted in a 40% increase in development speed, a 70% reduction in testing time, and an improvement in code quality, each achieved by using a helpful AI assistant”

Evan Erwee, Senior Manager, Deloitte & Touche LLP

"At EROAD, we deliver safer, smarter fleets by providing intelligence you can trust. To help streamline our software development process, we integrated Amazon Q Developer across our entire engineering lifecycle - from our IDEs to the command line to the AWS Management Console. Since implementing Amazon Q Developer, our developers have accepted 83% of the code suggestions made by the tool, which represented 15% of the total code written by the team. We are excited to see how Amazon Q Developer will continue to help us drive even greater DevOps efficiency at EROAD."

Duanne O’Brien, Chief Technology Officer, EROAD

"With Amazon Q Developer, we successfully mapped out relevant use cases and accelerated the roadmap for adoption. In some of our projects, we are already seeing developer productivity increase between 20%–40% for cloud-native application development and approximately 20% increase in delivery velocity. Amazon Q Developer has helped us increase productivity among the development teams, improve overall code quality, and incorporate security early in the project lifecycle."

Michael Liebow, Head of Eviden Cloud Business, Atos Group

IVCISA is a consulting firm specialized in Data, Analytics, GenAI and Migration to help companies in LATAM opmitize costs and generate revenue.

"At IVCISA, we have incorporated the usability of Amazon Q Developer into our development and innovation team, allowing us to significantly streamline the creation of code for data integration APIs in data lakes and lake houses. Thanks to this technology, we managed to refactor our MyCloud application in less than two weeks, optimizing programming and SQL code, and migrating to a microservices architecture. Furthermore, Amazon Q Developer was instrumental in creating our new product, Atlas Bitacoras, which developed in less than three weeks. Amazon Q Developer has accelerated our development processes and amplified our innovation capacity, enabling us to offer more efficient and adaptable solutions."

Víctor Pérez Pereira, Chief Executive Officer, IVCISA

“As Kupla sources and structures data in real-time from open sources for generative-AI consumption, we have complex pipelines and a fluid data structure setting which puts a high cognitive strain on our developers. Amazon Q Developer has eased the writing process of retrieving and packing data and is being used in all aspects of our technology stack, excelling in SQL and JavaScript. Q Developer has not only alleviated the burden on our data team by keeping track of parameters and data points across services, but has also drastically reduced the production time of boilerplate code and error catching. With this newfound efficiency, our data engineering team can now voluntarily contribute their time and efforts to front-end applications, allowing for a more proactive approach to improving our front-end experience. Thanks to Q Developer, we were able to roll out our services to two new countries three months ahead of schedule. Additionally, we've been able to prototype new features in 60-70% less time, significantly accelerating our innovation cycle.”

Mikkel Højlund Jensen, Founder and CTO

"At FINRA, our initial experience with Amazon Q Developer has been positive, demonstrating its strong potential to streamline our development process. Initial results have been impressive, with notable improvements in code quality and reduction in technical debt across multiple applications. Q Developer has proven particularly effective in accelerating Java upgrades, and we are encouraged by the early indications of enhanced developer productivity and improved focus among our teams. As we continue to integrate Q Developer into our workflows, FINRA is excited to explore its full capabilities and anticipates further improvements in our development ecosystem."

Daniel Koo, VP, Enterprise Productivity Engineering

"We make extensive use of Lambdas, API Gateways, and EventBridge to create, terminate, and perform automated housekeeping or our EC2 and RDS resources. With Amazon Q, we can not only ask for suggestions about how best to achieve a task, but also then get help writing the code as well. Amazon Q knows the function calls and parameters, so I don't have to remember them. This is particularly useful for new team members as well as those like myself who aren't using the tools on a daily basis. Amazon Q has helped us cut the initial development time by as much as 25% for new integrations and automations.

When I want to do something quickly using the CLI, I ask Amazon Q. It's quicker than the normal search methods that I used to use. Amazon Q knows all the ways to make use of the many tools that AWS provides. Because we are now able to accomplish more, we will be able to extend our automations into other AWS services and make use of Amazon Q to help us get there."

John Lees, Sr. IT Engineering Manager, Safe Software, Inc.

The Japan Research Institute, Limited, as the core IT company of the SMBC Group,  has answered the trust placed in it by developing and managing the core operating systems for many years at each of the companies in the Sumitomo Mitsui Financial Group, the leading Japanese financial institution.

"At The Japan Research Institute, we faced the challenge of upgrading numerous Java 8 systems to the latest versions. The investigation of incompatibilities and migration associated with these upgrades was a significant undertaking, requiring substantial resources and costs. With the introduction of Amazon Q Developer code transformation capabilities, we've been able to streamline this process with remarkable efficiency. Its ability to upgrade large amounts of source code while maintaining consistency and upgrading libraries is a unique capability that sets it apart from other coding assistants. We've successfully upgraded small-scale applications, and the time savings we've experienced in identifying vulnerabilities and security issues have been substantial. What previously took hours or even days can now be accomplished in a matter of minutes, thanks to Amazon Q Developer's advanced scanning capabilities. It scans code for hard-to-detect vulnerabilities and automatically suggests remediation tailored to the application code, allowing our developers to quickly accept fixes. Our developers can focus on delivering high-quality software, rather than being bogged down by manual processes. Moving forward, we plan to leverage Amazon Q Developer's capabilities for version upgrades of our larger commercial products, comprising of hundreds of thousands to millions of lines of code."

Junichiroh Kanamitsu, Technology Management Department General Manager and Senior Expert

"At Léon Grosse, we use Amazon Q as a productivity tool for our software development team. The tool allows us to stay focused on our code by avoiding the need to exit the IDE to consult documentation or code examples on the web. It's quite impressive to see how the tool surfaces suggestions for our function code and comments just when we've forgotten it, all in a format consistent with the rest of our code."

Aurélien Andrey, Direction du Système d’Information, Léon Grosse

Metal Toad is a leading AWS Consulting Partner specialized in data, artificial intelligence, and ML.

"Metal Toad is using Amazon Q to accelerate development of our software projects. Projects using it have already seen velocity increase by 20%–30% over two sprints. Amazon Q has helped us to identify and fix critical bugs easily and quickly. Our Sr Engineers and architects are also using it to accelerate the development of new features. We are excited to see its continued benefits across our entire software development lifecycle."

Nathan Wilkerson, VP of Engineering, Metal Toad

National Australia Bank is one of the largest financial institutions in Australia.

"At NAB, teams across the bank are excited about how generative AI can transform our work, and we've found a great solution in Amazon Q Developer, a powerful generative AI–powered tool for our engineers and developers. The tool has seamlessly integrated advanced generative algorithms and tools into our development process, delivering unparalleled benefits like completing tasks faster, increasing productivity, and minimizing repetitive actions. So far, our developers have accepted 50% of the code suggestions made by Amazon Q Developer, and that number continues to increase as we scale. We look forward to seeing how Amazon Q Developer will continue to empower and inspire our engineers to upskill their technical expertise, delivering better service for customers."

Andrew Brydon, Executive Chief Engineer, National Australia Bank

NCS, a leading technology services firm in Asia Pacific, partners with governments and enterprises to advance communities through technology.  

"At NCS, we deliver large-scale enterprise software solutions by harnessing the collective strengths of specialized teams across diverse countries, languages, and cultures with varying delivery maturity. We needed a tool that could streamline repetitive tasks, enabling our people to focus on pursuing high-value outcomes. By seamlessly integrating Amazon Q Developer with cross-functional teams, including business analysts, architects, and engineers, this game-changing tool has unleashed a wave of efficiency and productivity across our entire value chain. With Amazon Q Developer, our business analysts can now easily and quickly build user stories and summarize insights using natural language. The impact of Amazon Q Developer has been nothing short of transformative, delivering time savings of around 28% and propelling our company's productivity to new heights. This has enabled us to deliver high-quality solutions to our clients faster, enhancing their competitiveness and driving business growth."

Yap E Fang, Partner for Cloud and Digital Architect, NCS

Netsmart is a leading technology provider for community-based care, offering a comprehensive platform that encompasses electronic health records, services, and solutions. 

“The demand for community-based care in our market has grown exponentially, and one way to meet this demand is through technology like Amazon Q Developer that can help fuel efficiency and innovation. Amazon Q Developer can transform the way our engineering team approaches research, design, and coding. Since using Amazon Q Developer, our team has seen a strong code suggestion acceptance rate of 35%. This has allowed our engineers to efficiently generate high-quality code and documentation, implement new features, which can accelerate development cycles, and significantly reduce manual effort. We are excited about the impact of Amazon Q Developer on our development processes."

Paul Snider, VP of Engineering, Netsmart

Novacomp provides a diverse range of IT products and services while specializing in quality assurance automation, software testing services, and nearshore outsourcing.

"Modernizing applications at Novacomp has historically been a time-consuming task that is often deprioritized against other development initiatives. Our team turned to Amazon Q Code Transformation agent to help upgrade a project running in Java 8 to Java 17 with over 10,000 lines of code. This is a task that would typically take an expert over two weeks to manually complete, but Amazon Q seamlessly modernized our project in a matter of minutes. Since adopting Amazon Q across our organization, we have realized a 60% decrease in average in our tech debt."

Gerardo Arroyo, CTO, Novacomp

Persistent Systems is a trusted digital engineering and enterprise modernization partner, helping their customers with deep technical expertise and industry experience.

"At Persistent, we have been using Amazon Q Developer’s code transformation capability to quickly reduce our tech debt. As per our compliance/security standards, we had to migrate an internal function application that was originally built on Java 8 to Java 17. By using Amazon Q, the migration effort was completed in 4 hours versus our expectation of 24 hours, resulting in a productivity gain of approximately 83%. This has helped us leverage the additional features, including enhanced security of Java 17 in a time-bound fashion." 

Vijesh Rangaswami, Chief Architect - GenAI COE, Persistent Systems

Pragma, a leading AWS Partner in the LATAM market, has been actively utilizing the code transformation capability of Amazon Q to streamline application modernization for their clients.

"At Pragma, we understand the challenges associated with maintaining and upgrading legacy code bases. Our team has successfully migrated real Java microservices from Java 8 to Java 17 for clients using Amazon Q Code Transformation, and the results have been exceptional. In our experience, manually migrating a single microservice of such size would typically consume around three days of dedicated effort. However, with Amazon Q code transformation, we have reduced that timeframe to a mere 20 to 60 minutes. This incredible efficiency gain has empowered our team to deliver superior value to our clients, while simultaneously reducing technical debt and accelerating their digital transformation journeys." 

Nicolas Archila, Chief Technology Innovation Officer, Pragma

"PrivatBank offers a rich, innovation driven, continuously evolving portfolio of products and services with extensive personalization options, which is our main competitive strength. The key enabler for achieving and maintaining aggressive time-to-market evolution for our products is a strong IT organization, which employs 1,000 software developers. PrivatBank IT has embraced the use of GenAI in every phase of its Secure Software Development Lifecycle (S-SDLC) processes, with Amazon Q Developer being central stage amongst such tools. Q Developer plays a key role in the automation of routine software development tasks such as unit test generation, security scanning for hard-to-detect vulnerabilities, and documentation generation, and we are noticing acceptance rates ranging up to 30% for the code generated by Amazon Q Developer.” 

Dmytro Shkarbatov, Deputy CTO, Head of Front-End Development Direction

"By incorporating Amazon Q Developer into Qonqord’s development workflow, our organization has realized significant benefits in terms of increased productivity and accelerated time-to-market. Amazon Q Developer has enabled our developers to quickly learn about and assess various AWS offerings efficiently, reducing the research time required for new development projects. Another notable achievement has been a reduction in bug fix time by at least 50%, enabling our team to address issues more efficiently. Additionally, the time required for proof-of-concept development has been dramatically reduced from weeks to days, allowing us to validate ideas and concepts at an unprecedented pace. These quantifiable improvements have played a significant role in driving Qonqord's success and maintaining our competitive edge.”

 Paul Walker, CPO

"Leveraging Amazon Q into our development workflow at Ryte has transformed the way we design, build, and enhance within our development workflows. Our developers have seen a significant leap in productivity, achieving results in half the time previously required for some cases and more efficient learning curves at the first-time use of AWS services.
This acceleration doesn't just mean faster output. It has improved the quality of our software, enabling us to deliver excellent new features to our clients with greater efficiency. Amazon Q empowers our teams to focus on innovation and excellence, and will definitely stay on top of our VS Code IDE!"

Danny Linden, Managing Director, Ryte Vietnam (ryte.com)

SIMO is an AI driven Intelligent Cloud Connectivity Platform that deliver the best optimized network connections to smart devices worldwide in over 135 countries via patented xSIM technology which delivers mobile data on-demand through the best local networks for one flat rate-no hidden fees, no SIM cardswapping, and no surprise data charges on your mobile bill. 

"With a lean but efficient development team at SIMO, we aimed to leverage generative AI like Amazon Q Developer to boost efficiency and drive innovation. Our technical team adopted Q Developer as their daily coding assistant, achieving over 30% generated-code acceptance rate. This allowed our developers to focus on business-critical code, improving overall development efficiency. Q Developer's code privacy and security protection, along with customization and workspace awareness features, ensured relevant code generation for our business needs. Additionally, Q Developer's support across the software development lifecycle reduced repetitive work during testing phases, highly satisfying our requirements." 

Richard Xu, CTO

Slalom is a next-generation professional services company that has been an AWS Partner since 2010.

"At Slalom, we have been utilizing Amazon Q Developer to address customers’ challenges and deliver actionable results. By using Amazon Q Developer, not only are we seeing between 30%–50% productivity gains for our customers, we have seen three times faster migration to AWS Cloud Development Kit in some cases, opening up new opportunities for migration and modernization for our customers. We are excited that the roadmap promises even further innovation and accelerated business value. Amazon Q’s focus on privacy and security as it relates to safeguarding our customer data makes it easier for our customers to trust generative AI usage and feel secure about their data." 

Mukesh Kumar, President of Global Technology, Slalom

"Our team has found that transitioning between different programming languages (specifically Node, Python, and SQL) with varying syntax rules can be challenging. Amazon Q has helped us harmonize our logic across these languages—enabling newer team members to contribute to development work while freeing up more experienced team members to focus on other tasks. Thanks to Amazon Q, we have been able to reduce our time to deploy new features for our products by 25%." 

Munaf Noorani, VP of Architecture and Integration, Switchboard, MD

"Amazon Q has been an accelerator for our development team. It fits right into our PyCharm workflow, making it easy to use. We can ask Amazon Q for code improvement suggestions or about AWS infrastructure, and it lends a hand right in the IDE. Since we're an AI-focused AWS Partner, we also rely on Amazon Q to review the prompts we create for language models. As we're coding, Amazon Q can take a look at our prompts and offer recommendations to make them even better. This helps us deliver top-notch AI products faster and ensures our customers get the most effective AI solutions." 

Lance Dofflemyer, CEO/Founder, Tech 42

"Temus is delighted with the widespread benefits of Amazon Q across our development cycle. Amazon Q's built-in privacy and security made it easier for us to adopt generative AI safely and quickly. Our commitment to building the state-of-the-art Natural Capital Monetization (NCM) Platform for Laconic, a leading global provider of integrated Environmental Intelligence Services, has been remarkably empowered by Amazon Q. Its capabilities have enabled us to boost our development efficiency by an average of 35%. By leveraging Amazon Q's robust suite for code generation, code scanning capabilities, and efficient bug fixing protocols, we've not only accelerated development timelines but have also markedly improved our code quality. The security scans, in-depth code explanations, and intelligent code suggestions provided by Amazon Q have been invaluable, ensuring our code is not only functional but also secure and maintainable."

Rahul Hukku, Director, Cloud Engineering, Temus

"At TymeX, efficiency is critical for delivering high-quality software faster while reducing costs. We faced challenges with repetitive tasks, code refactoring & optimization, and meeting test coverage and security criteria. Integrating Amazon Q Developer into our IDE has been transformative. This generative AI-powered assistant helps generate personalized code recommendations, track references, and perform security scans, addressing challenges throughout our software development lifecycle. The impact has been remarkable. Our team now spends 40% less time on code writing and testing, and we've achieved a tenfold increase in efficiency for writing unit tests to meet security standards. Amazon Q Developer has revolutionized our approach, enabling us to deliver high-quality software faster while optimizing operational costs."

Hieu Ta, Director of Engineering

"Upland Software Inc. enables global businesses to work smarter with over 25 proven enterprise cloud software products that increase revenue, reduce costs, and deliver immediate value. Our solutions offer many integrated AI capabilities and cover digital marketing, knowledge management, contact center service, sales productivity, content lifecycle automation, and more. Upland's powerful cloud products are trusted by more than 10,000 global customers.

We were looking to find ways to expand engineering capacity by leveraging Amazon Q Developer to remove manual and redundant tasks from our development lifecycle and increase velocity. The amount of time we spent on documentation or creating unit tests was reduced by 30% or more. Code suggestion acceptance rate was nearly 40%. Upland is excited to see what's to come from Amazon Q Developer and are excited to add this capability to our engineering teams."

Rick Rinewalt, CTO, Upland Software, Inc.

"At Visma, innovation and continuous improvement are at the heart of our approach to addressing complex software challenges. We ran several workshops to test the .NET transformation capabilities of Amazon Q Developer and observed very promising results. We will continue to use Amazon Q Developer as a solution for code transformation, enabling us to accelerate our modernization initiatives."

Alin Iacob, Cloud Architect & Code Modernization Factory Owner, Visma

"At XalDigital, we're always looking for innovative ways to enhance our development processes and team efficiency. Amazon Q Developer has been an excellent addition to our toolkit, perfectly aligning with our goals for continuous improvement. It has dramatically streamlined our onboarding process, allowing us to seamlessly onboard 12 developers of varying experience levels into four existing projects in just one week. This efficiency boost has translated into an increase in productivity, enabling us to deliver new features faster and optimize our bug-fixing processes. Amazon Q Developer's automated suggestions and unit test generation have not only elevated our already high code quality standards but also helped us integrate best practices seamlessly into our workflow. With Amazon Q Developer, we've taken our team's productivity to new heights and set an even higher standard for efficient software development."

Manuel Vigueras, Technical Director, COE Migrations

“Our clients across a range of industries have been keen to modernize their Java, Microsoft, mainframe, and VMware workloads to the cloud. But the sheer scale of modernization involving hundreds of large applications, little documentation, and intricate dependencies can be formidable. The transformation capabilities of Amazon Q Developer, complemented by Accenture’s GenWizard, will help us accelerate various modernization phases like analysis, documentation, planning, transformation, and validation for different types of workloads including .NET, mainframe, and VMware. By leveraging these combined technologies, we'll be able to amplify our domain expertise impact across multiple projects, streamlining our delivery process and boosting efficiency for our clients." 

Chris Wegmann, Global Technology Lead of AWS Business Group, Accenture

“Accenture's AWS mainframe practice leverages tools and Accenture processes to assess, plan, and execute modernization of clients' mainframe applications. The transformation capabilities of Amazon Q Developer can help accelerate the modernization process by using generative AI agents. With mainframe expertise hard to find and many client applications created over 30 years ago, Amazon Q Developer transform provides the technology to autonomously analyze codebases, document them, and decompose monolithic applications. Complementing Amazon Q Developer transform with Accenture's GenWizard framework and our industry knowledge will be a game changer that can dramatically accelerate mainframe modernization programs. This powerful combination offers a faster and much less painful journey for mainframe applications to scalable cloud. The synergy between GenWizard and Amazon Q Developer transform will enhance our ability to tackle complex modernization challenges efficiently and effectively.”

Joel Rosenberger, Mainframe Modernization Lead of AWS Business Group, Accenture

“Migrating to the cloud requires specialized expertise, substantial resources, and extensive coordination. The transformation capabilities of Amazon Q Developer for VMware workloads help alleviate the manual, repetitive work involved in large-scale migrations such as planning, orchestration, network migration, and cross-team collaboration—challenges that can arise when transitioning thousands of servers and hundreds of applications. At Accenture, we see this service providing significant benefits by improving productivity for our migration practitioners and increasing our speed to value for clients.”

Neil Redmond, Modernization Lead of AWS Business Group, Accenture

“Modernizing .NET applications can be challenging due to complex code, uncertain returns on investment, and operational risks; however, we believe our clients worldwide will benefit from using the transformation capabilities of Amazon Q Developer transform for .NET to modernize .NET apps more quickly and cost-effectively. Our tests show that Q Developer transform significantly speeds up the modernization of thousands of Windows-based .NET applications to run on Linux, reducing operational costs, controlling OS licensing expenses, and minimizing operational risks.” 

Vishal Sharma, Southeast Asia Lead of AWS Business Group, Accenture Singapore

“A key component of Amdocs’ cloud strategy is to accelerate the migration of legacy workloads to the cloud, and we are looking to the new transformation capabilities of Amazon Q Developer to significantly improve our VMware workload migration process. Using generative AI agents, we can automate many of the labor-intensive migration tasks including workload analysis, dependency mapping, network translation, and migration execution. Combining our extensive expertise in migration and modernization projects paired with the scalable cloud infrastructure of AWS, we can help our clients transform their VMware workloads to run natively on AWS for superior scale, performance, security, and resilience, while reducing the time and costs to get there. We're driving innovation and accelerating our clients' cloud journeys with unmatched efficiency and expertise.”

  Anthony Goonetilleke, Group President of Technology and Head of Strategy, Amdocs

“The modernization of .NET applications is seen as a major barrier to unlock the full cloud value. To overcome this, we were looking for products that could transform applications faster. The automated modernization experience via Amazon Q Developer transform has given Capgemini the capability to expand on established .NET framework modernizations. By using Amazon Q Developer transform, we envision transforming thousands of applications to run on Linux containers and serverless technologies. This will vastly improve their performance, security, scalability, and cost-efficiency. This will enable Capgemini to further engage with clients to rapidly innovate with them leveraging generative AI capabilities from AWS to create quantifiable business value. We view Amazon Q Developer transform more than simply as a feature that can deliver meaningful impact on our generative AI global market initiatives.”

Shashi Gupta, VP and Global Head for AWS CoE for Financial Services, Capgemini

“At Caylent, we are leveraging the transformation capabilities of Amazon Q Developer to achieve an 80% savings in time and effort on our .NET transformations. Amazon Q Developer transform streamlines the process for our engineers and enables us to deliver high-value, high-quality outcomes for our clients faster than ever before.”

Clayton Davis, Senior Director of Cloud Native Applications, Caylent

“Caylent has successfully modernized thousands of legacy VMware stacks into AWS. Now, with the launch of the Amazon Q Developer transformation capabilities for VMware, we’re thrilled to take these modernizations to the next level. For example, translating VMware network configurations to AWS VPC, subnets, and security groups is a toilsome and error-prone task that takes weeks if not months today. With the new gen AI capabilities of Amazon Q Developer transform, our teams can complete the network translation and deployments in minutes. Q Developer transform also equips our engineers with faster discovery and automated migration tools, backed by the reliability of proven AWS migration and modernization services.”

Max Lerin, Senior Engineering Manager, Caylent

"Simplification and reducing the risks of migrations are paramount to unlocking modernization initiatives. While many organizations are advancing in application modernization, Windows-based monolithic architectures often lag due to the significant effort required for manual code transformation. This impacts our ability to support customers, as migrations from monolithic legacy databases are often tied to broader application modernization efforts. This is where Amazon Q Developer can be a game-changer. Its GenAI- powered code conversion can dramatically accelerate development cycles and reduce the resource demands of large-scale application and database modernization projects. We’re excited to collaborate with the Amazon Q Developer team and look forward to empowering our customers on their transformative journey to distributed modern architectures."

Allen Terleto, VP Global Partners and Ecosystem, at Cockroach Labs

“At Cognizant, we help customers modernize their IT infrastructure and applications in the cloud to best position them for innovation, scalability, and agility. For accelerating the speed of transformation, we're thrilled to bring the transformation capabilities of Amazon Q Developer to our clients for their VMware workload modernization. This AI-powered tool automates and fine-tunes the entire migration process, allowing us to manage complex transformation projects with exceptional speed and simplicity. As a result, our clients are experiencing cost reduction, allowing our teams to focus on strategic initiatives instead of manual processes. With Amazon Q Developer transform, we're not merely migrating workloads; we're positioning our clients to thrive in the cloud-native era, opening up new realms of agility and innovation.”

Joseph Stellin, Global AWS Practice Head, Cognizant

“Leveraging the transformation capabilities of Amazon Q Developer alongside AI/Cockpit, we now present a best-in-class bundle offer to accelerate the analysis, planning, and execution phases of mainframe modernization projects. The ability of Amazon Q Developer transform to understand and decompose decades-old COBOL codebases is truly remarkable, and we anticipate this AI technology will help us reduce transformation timelines by up to 10x and cut manual effort by around 50%. By combining Amazon Q Developer transform and Compass’ AI/Cockpit, we can preserve critical business logic while transforming mainframe applications to AWS Cloud, providing our clients with a faster and more reliable path to modernization.”

Gabriel Aires, Global AWS Practice Director, Compass

“Deloitte has a long-standing commitment to helping our clients navigate complex digital transformation initiatives, including mainframe modernization. The transformation capabilities of Amazon Q Developer represent a paradigm shift, providing a single, web-based generative AI–powered experience for accelerating various modernization phases, such as analysis, documentation, planning, and transformation. By leveraging Amazon Q Developer transform in complement to Deloitte's innoWake product Suite, we will be able to tackle large-scale modernization projects more efficiently and effectively. This powerful combination enhances our ability to address mainframe modernization challenges, enabling us to reduce project complexity and completion times significantly. Furthermore, it allows for better strategic planning, ensuring secure, resilient, and compliant outcomes for our clients.”

Marlin Metzger, Application Modernization & Innovation Leader, Principal, Deloitte Consulting LLP

“At HCLTech, we're excited about the groundbreaking potential of the transformation capabilities of Amazon Q Developer. These AI-powered capabilities are poised to be a pivotal turn in accelerating modernization of legacy workloads. We find the Amazon Q Developer transform's approach of making domain-expert AI agents available for VMware, .NET, and Mainframe transformations in a single web-based experience very unique. The ability to automate complex processes, provide data-driven recommendations, and simplify legacy modernization is transformative. With tailored modernization plans, we foresee dramatically simplified migration paths and accelerated time-to-value for our customers.  We are eager to harness the capabilities of Amazon Q Developer transform to accelerate our clients' cloud adoption journeys, enabling them to maximize the advantages of cloud computing more efficiently than ever before." 

Prabhakar Appana, Senior VP and Head of AWS Ecosystem Business Unit, HCLTech

“We understand the challenges enterprises face when planning to modernize their mainframe applications. By utilizing the transformation capabilities of Amazon Q Developer in tandem with Heirloom h/GENAI, we have the potential to revolutionize our approach to mainframe modernization projects. This technology will enable us to analyze and document complex COBOL and PL/1 codebases, understand dependencies, and build comprehensive modernization plans, potentially reducing the time and effort required for mainframe modernization. We anticipate that Amazon Q Developer transform will help us complete large-scale modernization initiatives 2-3x faster while also allowing our domain experts to support multiple projects simultaneously.” 

Graham Cunningham, CTO, Heirloom

“IBM and AWS are committed to working together to help businesses harness generative AI to streamline processes, reimagine customer experiences, and modernize applications. In IBM Consulting, we’ve seen first-hand the impact that generative AI can have on accelerating large-scale modernization projects with tools like our IBM Cloud Migration and Modernization Factory—fast tracking delivery for some of our clients from years to months. We look forward to bringing our deep expertise and capabilities in cloud modernization to our joint clients that will leverage the transformation capabilities of Amazon Q Developer so we can better assist them in expediting their AWS modernization journeys." 

Vikas Ganoorkar, Global Cloud Migration Offering and Practice Leader, IBM Consulting

“We recently viewed an early demo of the transformation capabilities of Amazon Q Developer for mainframe and believe its code explainability and deep code comprehension features have the potential to help accelerate mainframe application modernization for our joint clients on AWS. This aligns well with IBM's Consulting Advantage platform-based assets and accelerators, marking another significant milestone in the IBM and AWS partnership.”

Bala Sreenivasan, Distinguished Engineer and CTO—Hybrid Cloud Application Modernization Services, IBM

“Today we’re helping some of our clients navigate the complexities of .NET modernization projects—transforming applications that are currently written in traditional .NET code to a more modern platform. Based on some early demos that we’ve seen from AWS, we think there’s opportunity to work together to leverage generative AI to potentially automate and expedite the code refactoring and deployment process to modernize existing .NET applications.”

Franklin Koilpillai, Global Cloud Migration and Modernization Architect, IBM Consulting

“Technical debt management is a top challenge for our clients, leading to security risks, performance issues, and added complexity during cloud migrations and modernization. Debt remediation, however, is quite costly and time-consuming. The transformation capabilities of Amazon Q Developer for .NET provide a high degree of automation for .NET upgrades and migration to contemporary portable .NET versions, enabling enterprises to address technical debt efficiently and accelerate cloud migration. Infosys is excited to partner with AWS and utilize this innovative solution to enhance productivity in our clients' modernization and cloud migration efforts.”

Balakrishna D. R. (Bali), Executive VP and Global Services Head, AI and Industry Verticals, Infosys

“Mission has long recognized the complexities and challenges associated with .NET modernization. Our team's extensive experience across various .NET frameworks has allowed us to develop a comprehensive approach, considering the 9R's strategy in collaboration with our customers to determine the optimal path for each application. The introduction of Amazon Q Developer transformation capabilities marks a significant leap forward in our modernization efforts. This AI-powered solution addresses one of the most pressing challenges in .NET migrations—the time-consuming and costly nature of code refactoring and rearchitecting. By leveraging generative AI to swiftly migrate code between .NET versions, we anticipate a dramatic reduction in modernization timelines and associated costs. What excites us most is the potential to parallelize modernization efforts across hundreds of applications simultaneously, while maintaining the high level of customization our clients expect. We're eager to leverage Amazon Q Developer transform to help our clients navigate their cloud journey more swiftly and confidently, focusing our expertise on higher-level architectural decisions and innovation opportunities.” 

Dr. Ryan Ries, Chief AI and Data Scientist, Mission 

“The transformation capabilities of Amazon Q Developer are ushering in a new era of application modernization. As a partner deeply involved in our clients' modernization efforts, Slalom is witnessing firsthand how this AI-powered solution is revolutionizing highly complex transformations across diverse workloads, including .NET porting, mainframe modernization, and VMware migrations. The ability to train and optimize Amazon Q Developer transform to the specific needs of the legacy systems enables us to tackle modernization projects of a scale and complexity previously thought too expensive or risky. This technological leap accelerates our developer velocity and allows our teams to perform transformations with a fraction of the risk, effort, cost, and errors that are normally seen in high-complexity transformations. Beyond modernization, Q Developer transform helps us with nonfunctional concerns and patterns using modern AWS services that drives operational excellence.  As we continue to leverage this technology and imagine what the near future holds, we're excited about the new possibilities it opens up for innovation and efficiency in the cloud era.”

WD Land, Managing Director, Global lead of the AWS Business Unit, Slalom

“At Slalom, we recognize the critical need for businesses to modernize their mainframe applications, but we've also seen how daunting this process can be. Amazon Q Developer transform’s innovative approach to mainframe modernization represents a significant leap forward for our clients. Its AI-driven analysis of complex mainframe ecosystems—encompassing COBOL, JCLs, BMS screens, and DB2 schemas—offers rapid insights into the functionality of monoliths that often highly ambiguous. We're particularly impressed by its ability to generate clear documentation and identify discrete modules within monolithic structures, addressing a common pain point in legacy systems. What sets Q Developer transform apart is its blend of autonomy and human oversight. It proposes modernization plans and refactors code, but our experts retain control through a robust review and approval process. This synergy of AI efficiency and human expertise is crucial for successful, low-risk transformations.”

Jeff Kempiners, Managing Director, Global lead of AWS Delivery Team, Slalom

“At Slalom, we're constantly seeking innovative ways to help our customers modernize their legacy .NET Framework applications and transition to cloud-native architectures. The challenge has always been balancing the labor and risk-intensive nature of such transformations with our clients' roadmap and backlog of development priorities. What excites us most about Amazon Q Developer transform's approach to .NET refactoring is its single, autonomous AI agent that can handle various aspects of the modernization process while applying domain expertise from extensive modernization experience. Q Developer transform's autonomous agent, infused with both .NET and AWS expertise, aligns perfectly with our clients' need for tailored transformation plans. Its ability to develop modernization plans customized for each specific codebase and transformation objective is a significant advantage. We're eager to leverage this technology to help our customers parallelize their .NET refactoring efforts, potentially transforming hundreds of applications consistently. By incorporating the transformation capabilities of Amazon Q Developer into our service offerings, we're enhancing our ability to deliver efficient, large-scale .NET transformations that drive real business value for our customers.”

Jeff Kempiners, Managing Director, Global lead of AWS Delivery Team, Slalom

“Amazon Q Developer transform is a critical enabler in our ability to help organizations accelerate their journeys to AWS and maximize the long-term benefits of the cloud, especially for those undertaking a VMware-to-AWS migration. By embracing this innovative experience to migrate VMware workloads to AWS, we will be able to help clients cut migration costs and mitigate risks, while empowering our teams to expand their impact from migration execution to more value-added projects for our clients such as modernization and new products and services. Amazon Q Developer transform will allow us to focus on equipping customers with the knowledge, processes, and team capabilities needed to thrive in the AWS ecosystem. We're excited to leverage the power of Q Developer transform to make the VMware-to-AWS migration a truly transformative experience for our customers, unlocking the full potential of AWS beyond the initial migration.” 

John Wright, Director—Global Solutions, AWS Business Unit, Slalom

“As an AWS Premier Tier Services Partner, we're excited about the potential of Amazon Q Developer transform for .NET to transform the way our customers approach .NET application modernization. Many are currently hesitant to undergo a full rearchitecting migration, concerned about the time, expertise, and costs required.

However, with Amazon Q Developer transform, we see a clear path forward. Its automated assessment capabilities will allow us to rapidly evaluate modernization needs, even for legacy .NET applications lacking documentation or subject matter expertise. What used to take 4-5 weeks can now be completed in just one week, providing our customers with a comprehensive roadmap and business case to make informed decisions.

But the real power of the transformation capabilities of Amazon Q Developer transform for .NET lies in how it streamlines the entire modernization journey.

By automating key steps and integrating with Amazon Q Developer's inline chat capabilities, we can reduce timelines from months to weeks. This accelerated timeline will make advanced cloud migration a much more attainable goal for our customers, allowing them to unlock the benefits of modernization faster than ever before.

As we continue to evolve our SoftServe Microsoft Modernization Framework in collaboration with AWS, Amazon Q Developer transform will be a vital tool in our arsenal. Together, we're poised to revolutionize the way businesses approach .NET application modernization, delivering speed, confidence, and cost-efficiency to our customers.”

Ruslan Kusov, Cloud CoE Director, SoftServe

“Steamhaus is an all-in AWS partner specializing in AWS cloud-native solutions. We help enterprise customers accelerate their cloud modernization and drive innovation. We've seen great success with the transformation capabilities of Amazon Q Developer for .NET, empowering our enterprise customers' development teams with generative AI. This technology reduces time to value by upskilling internal teams, integrating AI-driven expertise into discovery, assessments, and modernization, and accelerating overall business transformation."

Rob Greenwood, CTO, Steamhaus

“Amazon Q Developer transform aligns perfectly with our commitment in leveraging cutting-edge technology to drive business transformation and deliver exceptional value to our clients. Its broad capabilities, coupled with an agent-driven approach, simplify knowledge work by augmenting creativity to boost efficiency. This, along with TCS' contextual knowledge and deep technical expertise, helps drive synergies that deliver value, blending efficiency with strategic foresight. We look forward to exploring the capabilities of Amazon Q Developer transform and integrating this powerful tool into our technology stack, setting new benchmarks for performance, scalability, and efficiency.”

Suranjan Chatterjee, Global Head of Engineering, AI.Cloud, TCS

“Amazon Q Developer transformation capabilities for mainframe modernization accelerate analysis and documentation of legacy COBOL code, while also decomposing applications into modernizable units. We were able to leverage Amazon Q Developer transform to generate documentation of business logic across diverse program inventory for our customers. With generative AI offering newer possibilities to accelerate modernization, we look forward to addressing the entire lifecycle in a seamless manner with adequate human supervision for a faster and sure-footed application modernization journey from mainframe to AWS.”

Pallavi Rao, Global Head of Banking and Financial Services Delivery, AI.Cloud, TCS

“Amazon Q Developer transform is transforming the way we approach .NET modernization for clients. By leveraging its advanced AI-driven automation, we’ve already seen early success in helping customers upgrade their legacy .NET applications. This has enabled us to deliver modernization projects much faster, with projected reduction in operating cost of up to 15%. For our clients, this means faster time-to-market for their modernized applications, and higher value as they shift development capacity towards innovation by saving on maintenance efforts. We’re excited to leverage the transformation capabilities of Amazon Q Developer to help our clients achieve greater scalability while adopting modern development practices for building secure and high-performance applications.”

Sivaram Sivanarayanan, Global Head of AWS Products & Offerings, AI.Cloud, TCS

“VMware workload migration has entered a new era with generative AI. TCS leverages the transformation capabilities of Amazon Q Developer to unlock seamless migration and enable businesses to modernize while maintaining operational continuity. Unlike traditional methods, enterprises can harness the power of AI with Amazon Q Developer transform to address complex workload migrations with unmatched speed and ease. Q Developer transform’s rich interface and powerful AI capabilities make it simpler for VMware migration teams to analyze and simplify migration tasks, significantly reduce migration time, and enhance productivity while giving better control.”

Sivaram Sivanarayanan, Global Head of AWS Products & Offerings, AI.Cloud, TCS