The most capable generative AI assistant for
software development now accelerates unit testing, documentation,
code reviews, and operational troubleshooting, so developers can
focus on creative and exciting work
At AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com, Inc. company (NASDAQ: AMZN), today announced new
enhancements to Amazon Q Developer, including agents that automate
unit testing, documentation, and code reviews to help developers
build faster across the entire software development process, and a
capability to help users address operational issues in a fraction
of the time. Amazon Q Developer is the most capable generative
artificial intelligence (AI)-powered assistant for software
development that is available everywhere developers need it,
including the AWS Management Console, through a new integrated
offering with GitLab, integrated development environments (IDEs),
and more.
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- Amazon Q Developer autonomously identifies and generates unit
tests, helping developers catch issues earlier and improve code
reliability with comprehensive test coverage in considerably less
time.
- Developers can now use Amazon Q Developer to generate and
maintain all of their documentation, ensuring they always have
access to the latest information about a project, enabling them to
get up to speed on new code quickly, capture key project details
for teammates, and improve the readability of old
documentation.
- Amazon Q Developer streamlines the code review process by
automatically checking for code quality, duplication, and security
vulnerabilities—quickly providing feedback to developers, so they
can stay in flow and deploy high-quality code faster.
- Leveraging the operational expertise of AWS and deep
understanding of an organization’s AWS resource relationships,
Amazon Q Developer now helps users of all experience levels
investigate and resolve operational issues across their AWS
environment in a fraction of the time, so businesses can keep their
applications up and running.
- Accenture, Amazon’s Kindle, Amazon’s Prime Video, Amazon Music,
Boomi, BT Group, Cedar Gate Technologies, Deloitte, FINRA, Genesys,
Netsmart, Pearson, SmugMug, and Tata Consultancy Services are among
customers using Amazon Q Developer to boost developer productivity
and resolve operational issues faster.
“Amazon Q Developer is fundamentally transforming how developers
work and can speed up a variety of software development tasks by up
to 80%, providing the highest reported code acceptance rate of any
coding assistant that suggests multi-line code, code security
scanning that outperforms leading publicly benchmarkable tools, and
high-performing AI agents that autonomously reason and iterate to
achieve complex goals,” said Deepak Singh, vice president of Next
Generation Developer Experience at AWS. “For these reasons and
more, customers are embracing Amazon Q Developer to increase
developer productivity at every stage of the software development
lifecycle. With today’s announcements, we are automating some of
the most tedious aspects of building and operating applications,
removing the undifferentiated work from software development to
multiply the impact of every developer.”
Getting better test coverage in a fraction of the
time
While writing unit tests is incredibly valuable to ensure that
code works as intended and to catch potential issues early,
developers find it tedious and time-consuming to implement tests
across all of their code. This often results in developers
deprioritizing complete test coverage for speed, risking costly
rollbacks on deployed code and a compromised customer experience.
Generative AI-powered assistants can help with this process, but it
still takes time because a developer needs to guide them through
each step. To reduce this burden on developers, Amazon Q Developer
now automates the process of identifying and generating unit tests,
helping developers get complete test coverage with significantly
less effort, so they can ship more reliable code and deliver
features faster.
Generating tests is now simple. From the IDE, developers just
type “/test” in the Amazon Q Developer chat window or highlight the
relevant block of code, right click, and select “test.” Amazon Q
Developer then uses its knowledge of the entire project to
autonomously identify and generate tests and add those tests to the
project, helping developers quickly verify that the code is working
as expected. In GitLab, developers can use Amazon Q Developer with
the "/q test" quick action on a merge request to automatically
generate tests for the code, saving time and improving test
coverage across the organization. By eliminating the vast majority
of work that goes into writing unit tests, Amazon Q gives
developers more time back in their day to focus on coding, while
still providing the coverage they need to know that their code is
high quality.
Developers at companies of all sizes are using Amazon Q
Developer to get better test coverage in a fraction of the time. By
equipping their developers with Amazon Q Developer, Boomi, a
cloud-based integration and automation platform, anticipates
reducing manual testing time by 25%, achieving complete test
coverage on projects 20% faster, and fixing significantly more bugs
early in the development cycle—accelerating the final, human-led
reviews. With Amazon Q Developer, Boomi is proactively enhancing
development efficiency and code quality, saving 15% in development
costs through streamlined processes. For Tata Consultancy Services,
Amazon Q Developer is accelerating their entire software
development lifecycle and empowering their developers to generate
comprehensive, contextually-aware unit tests up to 30% faster with
high accuracy, helping ensure that their code is robust, resilient,
and reliable. Deloitte is cutting manual testing time by using
Amazon Q Developer to automatically identify and generate unit
tests, helping their developers achieve complete test coverage
quicker, deliver higher quality code, and get new solutions out
faster to their clients. Overall, developers at Deloitte are
increasing their development speed by 30% while maintaining robust
security standards.
Generating and maintaining accurate, up-to-date
documentation
After developers write and test their code, they have to create
documentation to explain how it works. However, as a project grows,
keeping all the details up-to-date is a common pain point and often
gets neglected, forcing developers who are new to the codebase to
spend significant time figuring out how it works on their own. To
remove this heavy lifting, Amazon Q Developer now automates the
process of producing and updating documentation, making it easy for
developers to maintain accurate, detailed information on their
projects. Now developers no longer need to break their flow when
writing code to tediously capture how it works, giving them more
time to dedicate to working on their project. At the same time,
development teams get an organization-wide boost in productivity
because teammates no longer need to invest hours trying to
understand what a piece of code does. They can now confidently jump
into projects with more meaningful contributions.
Documentation creation works from both the IDE and via the
integrated offering with GitLab. Getting started is easy, as
developers simply type “/doc” in the IDE chat to begin producing
and updating README files in their repository autonomously. To
accelerate their own understanding, developers can ask Amazon Q
questions about how code works or use it to improve existing
documentation for better readability, making it easier for their
teammates to understand their code. Amazon Q Developer presents its
proposed changes for the documentation, so developers can ensure
the updates are accurate and align with what they intended.
Genesys, a global provider of AI-powered experience
orchestration, will use Amazon Q Developer to enhance the accuracy
and readability of their existing documentation. They expect
developers to onboard to unfamiliar code four times faster and
improve collaboration across the organization. With this usage in
combination with other Amazon Q Developer agentic capabilities,
like automated unit testing, feature development, and code reviews,
Genesys anticipates that it could boost developer productivity by
more than 30%. Netsmart, an electronic health records and solutions
provider, sees the automated documentation capability from Amazon Q
Developer enabling their engineers to maintain accurate information
on projects with much less effort and dive into projects up to a
full week faster. Using Amazon Q Developer to streamline multiple
aspects of their development process, Netsmart is already
experiencing a 35% code suggestion acceptance rate and expects
their efficiency gains to continue to grow.
Deploying higher quality code with automated code
reviews
One of the final steps before deployment is having another
developer perform a code review to check that the code adheres to
their organization’s quality, style, and security standards.
Developers can spend days waiting for feedback and going
back-and-forth on revisions, and with typically just one reviewer,
there is a chance that they could miss a potentially serious issue.
To streamline this process and catch more issues sooner, Amazon Q
Developer now automates code reviews, helping developers get
feedback when they need it, while maintaining code quality based on
engineering best practices.
By acting as a first reviewer, Amazon Q helps developers detect
and resolve code-quality issues earlier, saving them time on future
reviews. To initiate a review from the IDE, developers type
“/review” in the chat, and Amazon Q will flag suspicious code
patterns, identify open source package risks, and assess the
potential impact of releasing changes to production. Amazon Q will
also use the context it has from the developer's merge request to
adjust its recommendations, ensuring code suggestions are
consistent with their style and preferences. When developers review
their merge requests, they can invoke “/q review” through GitLab
Duo with Amazon Q to receive feedback and streamline the review
process.
Amazon developers at Prime Video follow rigorous code reviews to
maintain the highest quality and availability standards that their
customers love. With Amazon Q Developer automated code reviews
ready to assist them with every line of code and merge request,
developers can produce higher quality code before peer reviews,
reduce rollbacks and revisions, and accelerate work cycles. As
early adopters of Amazon Q Developer, Prime Video developers are
already saving hours each week, with some developers accepting over
50% of all generated recommendations. Developers at communications
provider BT Group can turn to Amazon Q Developer to get feedback on
their code in moments, at any time of the day—enabling them to
iterate at high velocity and deliver more robust and secure code.
In early usage, BT developers find the code review agent valuable,
as it goes beyond identifying quality and security risks by also
explaining the issues and suggesting the fixes to ensure that the
code works as intended. Overall, BT Group is experiencing a 37%
code acceptance rate and has automated around 12% of tedious,
time-consuming work within the first four months of using Amazon Q
Developer.
Resolving operational issues quickly
Once an application is written and deployed in production,
operational teams work to make sure it is performing as expected by
monitoring its health, making improvements, and fixing issues. When
issues occur, teams move as quickly as possible to get the
application back up and running to mitigate disruptions to their
customers. However, it is a trial-and-error process that can take
hours of manually sifting through vast amounts of data to find and
fix the issue. Leveraging over 17 years of extensive operational
experience that AWS has from running the world’s largest and most
reliable cloud, Amazon Q Developer now helps operators and
developers of all experience levels investigate and resolve
operational issues across their AWS environment in a fraction of
the time.
As soon as an Amazon CloudWatch alarm goes off, Amazon Q
Developer can automatically start investigating. Utilizing its deep
knowledge of an organization’s AWS resources—including information
across Amazon CloudWatch, AWS CloudTrail, AWS Health, and AWS
X-Ray—it can quickly sift through hundreds of thousands of data
points to discover relationships between services and develop an
understanding of how they work together to identify anomalies
across related signals. After analyzing its findings, Amazon Q
presents users with potential hypotheses for the root cause of the
issue and guides users through how to fix it—a combination of
capabilities that no other major cloud provider offers. Where
possible, Amazon Q surfaces runbooks and, when approved by the
user, can automatically execute on them. As Amazon Q Developer
takes on the heavy lifting of investigations, users can address
issues much quicker, saving significant time that can be used for
more strategic work.
Users can also initiate an investigation when checking system
signals, like a latency spike or logs showing users running into an
error, across the AWS Management Console by selecting “Investigate”
or from the Amazon Q chat by asking about their AWS resources, such
as, “My AWS Lambda function is running slow. What is wrong with
it?” Throughout an investigation, Amazon Q compiles all findings,
actions, and suggested next steps in Amazon CloudWatch for the team
to collaborate on and learn from to prevent future issues.
AWS has more operational experience and scale than any other
major cloud provider, and customers are using Amazon Q Developer to
get investigation insights and resolution guidance based on this
expertise to operate more efficiently. Photo-management platform
SmugMug will use Amazon Q Developer to automatically analyze
metrics, logs, and operational events across their systems,
enabling them to diagnose most issues in under 20 minutes and up to
50% faster. This improves operational efficiency by reducing manual
log searches, so their team can spend less time and resources
managing issues and more time building the platform to help
photographers grow their digital storefronts. At Amazon, Kindle
support engineers have seen 65-80% faster issue resolution while
using the Amazon Q Developer operational investigation capability,
helping them more quickly address the needs of customers to provide
the best user experience. Amazon Music developers are using Amazon
Q as a 24/7 assistant to automate investigating and identify trends
across issues, helping them move faster during their on-call
shifts. Early usage shows that Amazon Music is resolving issues
twice as fast, so that listeners can continue to enjoy their
favorite songs. Healthcare technology provider Cedar Gate
Technologies is pinpointing the root cause of operational issues in
about 30 minutes, compared to two hours, by using Amazon Q
Developer to accelerate investigations and swiftly resolve issues
so that clients across the healthcare ecosystem have continuity
providing valuable care to their patients.
All of these new agents are generally available in the IDE today
and in preview via the new integrated offering with GitLab. The new
operational capability is available in preview.
To learn more, visit:
- The AWS News Blog for details on today’s announcements: three
new agentic capabilities and new operational capability.
- The AWS blog to learn more about today’s GitLab Duo with Amazon
Q announcement.
- The Amazon Q Developer page to learn more about the
capabilities
- The AWS re:Invent page for more details on everything happening
at AWS re:Invent.
About Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud. AWS has been continually
expanding its services to support virtually any workload, and it
now has more than 240 fully featured services for compute, storage,
databases, networking, analytics, machine learning and artificial
intelligence (AI), Internet of Things (IoT), mobile, security,
hybrid, media, and application development, deployment, and
management from 108 Availability Zones within 34 geographic
regions, with announced plans for 18 more Availability Zones and
six more AWS Regions in Mexico, New Zealand, the Kingdom of Saudi
Arabia, Taiwan, Thailand, and the AWS European Sovereign Cloud.
Millions of customers—including the fastest-growing startups,
largest enterprises, and leading government agencies—trust AWS to
power their infrastructure, become more agile, and lower costs. To
learn more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
and Earth’s Safest Place to Work. Customer reviews, 1-Click
shopping, personalized recommendations, Prime, Fulfillment by
Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire
tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology,
Amazon Studios, and The Climate Pledge are some of the things
pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
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