Amazon Q Developer customers

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

"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

“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

"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.

"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)

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

"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