Amazon Q Developer’s industry-leading coding
accuracy, best-in-class security, and most comprehensive cloud
capabilities allow developers to spend more time coding and less
time on maintenance
Amazon Q Business empowers employees to be more
data-driven, generate content, build dashboards, and make better,
faster decisions using company knowledge and data
Amazon Q Apps, a new and powerful capability of
Amazon Q Business, enables employees to use natural language to
quickly and securely build their own generative AI applications to
automate daily tasks
Customers and partners across all industries
and of all sizes, including Accenture, BlackBerry, Brightcove, BT
Group, Datadog, DAT Freight & Analytics, Deriv, Eviden, GitLab,
GoDaddy, Hapag-Lloyd, National Australia Bank, NCS, Netsmart,
Persistent Systems, Showpad, Slalom, Smartsheet, Sun Life, Tata
Consultancy Services, Traeger Grills, Toyota, Wiz, and others are
using Amazon Q to transform the way their employees get work
done
Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company
(NASDAQ: AMZN), today announced the general availability of Amazon
Q, the most capable generative artificial intelligence (AI)-powered
assistant for accelerating software development and leveraging
companies’ internal data. Amazon Q not only generates highly
accurate code, it also tests, debugs, and has multi-step planning
and reasoning capabilities that can transform (e.g., perform java
version upgrades) and implement new code generated from developer
requests. Amazon Q also makes it easier for employees to get
answers to questions across business data such as company policies,
product information, business results, code base, employees, and
many other topics by connecting to enterprise data repositories to
summarize the data logically, analyze trends, and engage in dialog
about the data. Today, AWS is also introducing Amazon Q Apps, a new
and powerful capability that lets employees build generative AI
apps from their company’s data. Employees simply describe the type
of app they want, in natural language, and Q Apps will quickly
generate an app that accomplishes their desired task, helping them
streamline and automate their daily work with ease and efficiency.
To learn more about Amazon Q, visit aws.amazon.com/q.
“Amazon Q is the most capable generative AI-powered assistant
available today with industry-leading accuracy, advanced agents
capabilities, and best-in-class security that helps developers
become more productive and helps business users to accelerate
decision making,” said Dr. Swami Sivasubramanian, vice president of
Artificial Intelligence and Data at AWS. “Since we announced the
service at re:Invent, we have been amazed at the productivity gains
developers and business users have seen. Early indications signal
Amazon Q could help our customers’ employees become more than 80%
more productive at their jobs; and with the new features we’re
planning on introducing in the future, we think this will only
continue to grow.”
Amazon Q Developer
Today, developers tell us that only 30% (or less) of their time
is spent on coding, while the rest is spent performing tedious and
repetitive tasks. This could be researching best practices from
various parts of the web or learning how things work through
documentation, forums, and conversations with colleagues.
Developers also have to manage infrastructure and resources,
troubleshoot and resolve errors, and understand operating costs.
When they switch projects, they have to spend time learning the
existing code base to understand its programming logic. Finally,
there is all the work of testing and refactoring code, upgrading
applications, debugging and optimization, and ensuring security by
having to carry out vulnerability scanning and applying appropriate
security fixes in a timely fashion. Companies want to empower their
developers to spend less time on this coding muck and more time on
creating unique experiences for their end users, while being able
to deploy faster.
Q assists developers and IT professionals (IT pros) with all of
their tasks—from coding, testing, and upgrading applications, to
troubleshooting, performing security scanning and fixes, and
optimizing AWS resources. Amazon Q delivers advanced and tailored
generative AI capabilities, including:
- Most accurate coding recommendations: Amazon Q helps
developers build faster and more securely by generating code
suggestions and recommendations in near real time. Customers such
as Blackberry, BT Group, and Toyota are already using Q to increase
developer productivity and speed up innovation in their
organizations. Amazon Q Developer has the highest reported code
acceptance rates in the industry, for assistants that perform
multi-line code suggestions, with BT Group recently sharing that
they accepted 37% of Q’s code suggestions and National Australia
Bank reporting 50% acceptance rates. Q also has a powerful
customization capability that securely leverages a customer’s
internal code base to provide more relevant and useful code
recommendations. With this capability, Q is an expert on your code
and provides recommendations that are more relevant to save even
more time. Q keeps customizations completely private, and the
underlying foundation model (FM) does not use them for training,
protecting customers’ valuable intellectual property.
- Amazon Q Developer Agents: Q has a unique capability,
called agents, which can autonomously perform a range of
tasks–everything from implementing features, documenting, and
refactoring code, to performing software upgrades. Developers can
simply ask Amazon Q to implement an application feature (such as
asking it to create an “add to favorites” feature in a social
sharing app), and the agent will analyze their existing application
code and generate a step-by-step implementation plan. Developers
can collaborate with the agent to review and iterate on the plan
before the agent implements it, connecting multiple steps together
and applying updates across source files, code blocks, and test
suites. Carrying out these tasks, Q has achieved the highest scores
of any software development assistant available today, scoring
13.4% on the SWE-Bench Leaderboard and 20.5% on the SWE-Bench
Leaderboard (Lite), a dataset that benchmarks coding capabilities.
To save customers months, even years, of time upgrading
applications, Q can also automate and manage the entire upgrade
process–with Java conversions available today and .Net conversions
coming soon to help people move from Windows to Linux. In their
integrated development environment (IDE), developers simply ask
Amazon Q to “transform” their project and the agent analyzes
application source code, generates new code in the target language
or version, executes tests, and completes all code changes. A
five-person team at Amazon used Q to upgrade more than 1,000
production applications from Java 8 to Java 17 in just two days
(the average time per application was less than 10 minutes), saving
months of time, and improving application performance–previously,
many of these applications would each take a couple of days to
upgrade.
- Best-in-class security vulnerability scanning and
remediation: Q scans code for hard-to-detect vulnerabilities,
such as exposed credentials and log injection. With a single click,
Q automatically suggests remediations tailored to the application
code, allowing developers to quickly accept fixes with confidence.
Q’s security scanning capabilities outperform leading publicly
benchmarkable tools on detection across most of the popular
programming languages, helping to significantly improve the
security and code quality of a developer’s application.
- Q is an expert on AWS and optimizing your AWS
environment: Amazon Q Developer is an expert on AWS and is in
the console to help IT pros optimize their cloud environments, as
well as diagnose and resolve errors and networking issues, select
instances, optimize structured query language (SQL) queries,
extract, transform, and load (ETL) pipelines, and provide guidance
on architectural best practices. To further help customers optimize
their cloud environments, today Amazon Q Developer includes a new
feature that helps customers list their AWS account resources,
configurations, and analyze billing information and trends, making
it easier for them to manage their accounts. For example, IT pros
can simply ask, “What instances are currently running in US East
1?” or “What’s my S3 bucket encryption?” or “What were my EC2 costs
by region last month?” and Amazon Q Developer will list the
resources and details in a summarized answer with links to learn
more.
Amazon Q’s conversational interface is available wherever it is
needed—in the AWS Console, in Slack, or in IDEs, including Visual
Studio Code and JetBrains–to give developers the ability to use the
conversational experience of Q within their favorite software
development solutions. To extend the Q experience to more places
developers work, AWS is announcing new partner extensions from
Datadog and Wiz, and an integration with GitLab Duo that will offer
joint customers a unified interface—whether working in AWS or
GitLab. By integrating Amazon Q’s generative AI capabilities with
solutions that developers know, use, and trust, developers can
update and create software faster.
Amazon Q Business
Organizations possess vast amounts of data spread across
multiple documents, systems, and applications. Employees across
every organization and department spend hours every week searching
internal sources for information, piecing together analyses,
writing reports, building presentations, gathering insights from
dashboards, and adapting content for different audiences.
Generative AI can help solve these challenges. However, the
offerings available today are not connected to business data or
internal resources and are not built from the ground up with
security in mind. Because of these barriers, many organizations
cannot safely tap into the full potential of generative AI.
Q Business is a generative AI–powered assistant that can answer
questions, provide summaries, generate content, and securely
complete tasks based on data and information in your enterprise
systems. It empowers employees to be more creative, data-driven,
efficient, prepared, and productive:
- Q unites more data sources than any other generative AI
assistant available today: Amazon Q Business easily and
securely connects to 40+ commonly used business tools, such as
wikis, intranets, Atlassian, Gmail, Microsoft Exchange, Salesforce,
ServiceNow, Slack, and Amazon Simple Storage Service (Amazon
S3)–more than any other generative AI assistant available today.
Simply point Q at your enterprise data repositories, and it will
search all of your data, summarize logically, analyze trends, and
engage in dialog with end users about the data. This helps business
users to access all of their data, no matter where it resides in
their organization.
- Built from the ground up with security and privacy in
mind: Amazon Q Business seamlessly integrates with a customer’s
existing identities, roles, and access permissions to personalize
the interactions for each individual user, while maintaining the
highest levels of security. It generates accurate responses based
on enterprise information, and customers can restrict sensitive
topics, block keywords, and filter out inappropriate content. Q
also does not use customer content to train the underlying models
for anybody else. Amazon Q Business outperforms all published
results for other assistants on correctness, truthfulness, and
helpfulness for general Q&A (using the MultiHop-RAG dataset),
as well as industries like finance (using a FiQA dataset sample)
and technology (using a LoTTE dataset sample).
- Inventive generative BI allows analysts to build detailed
dashboards in minutes and business users to get insights fast:
Amazon Q brings its advanced generative AI technology to Amazon
QuickSight, AWS’s unified Business Intelligence (BI) service built
for the cloud. With Amazon Q in QuickSight, customers get a
Generative BI assistant that allows business analysts to use
natural language to build BI dashboards in minutes and easily
create visualizations and complex calculations. It is also the only
BI product where business users can get AI-driven executive
summaries of dashboards, ask questions of data beyond what is
presented in the dashboards, and create detailed and customizable
data stories highlighting key insights, trends, and drivers.
Business users can ask to “build a story about how the business has
changed over the last month for a business review with leadership;”
and in seconds, Amazon Q creates a narrative with specific insights
and supporting visuals, including specific ideas of how to improve
the business. Users can choose to layout the content produced by Q
in an easy to share document or presentation where they can
customize text, images, and themes, and use Amazon Q to rewrite and
improve the text.
- First-of-its-kind capability that helps every employee go
from conversation to generative AI-powered app in seconds:
Today, AWS is announcing the new Amazon Q Apps capability (in
preview). Amazon Q Apps allows employees to easily and quickly
create generative AI-powered apps based on their company data,
without requiring any prior coding experience. With Q Apps,
employees simply describe the app they want, in natural language,
or they can take an existing conversation where Amazon Q Business
helped them solve a problem, and with one click, Q will instantly
generate an app that accomplishes their desired task that can be
easily shared across their organization. For example, creating
employee onboarding plans for new recruits can be a long and
laborious process. They require many hours of searching through
different data stores and documents to find the appropriate content
for the new employee; and often, the content is out of date or not
specific enough to their role. With Q, an HR professional could
simply describe they want an app that will create an onboarding
plan for a new employee that utilizes the company’s existing best
practices, and has an input field for employee ID that personalizes
the onboarding plan to their role by drawing from internal data
sources specific to their job family. In a matter of seconds,
Amazon Q Apps will build an app that can automatically generate a
personalized onboarding plan tailored to the employee, their role,
and the department using the latest best practices. The HR
professional can then share the app with hiring managers across the
company to instantly build personalized onboarding plans for their
own teams. Now, with Amazon Q Apps, business users can easily,
quickly, and securely build an app based on enterprise information
to improve their work productivity.
What Amazon Q customers and partners are saying
GoDaddy helps millions of entrepreneurs globally start, grow,
and scale their businesses. “Amazon Q in QuickSight allows us to
ask our data contextual business questions without having to
constantly rely on ad-hoc dashboards. For example, now we can much
more easily discover and drill into anomalies in business
performance across the company,” said Ed Sarausad, senior director
of Data & Analytics at GoDaddy. “This shift not only
streamlines our processes, but also elevates our analytical
capabilities. What excites us most is the opportunity to unlock
insights with profound, previously unasked questions. That allows
us to respond more swiftly and with greater depth, enhancing our
data learning journey.”
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,” said Andrew
Brydon, executive chief engineer at National Australia Bank. “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.”
Netsmart is a leading technology provider for community-based
care. “The demand for community-based care has grown exponentially,
and Amazon Q Developer is helping us meet that demand by fueling
our efficiency and innovation,” said Paul Snider, vice president of
engineering at Netsmart. “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.”
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 de-prioritized against other development
initiatives,” said Gerardo Arroyo, CTO of Novacomp. “Our team
turned to Amazon Q Code Transformation 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.”
Persistent Systems is a multi-national technology services
company that builds software that drives digital transformation.
“Amazon Q Apps has the potential to revolutionize the way we
approach generative AI,” said Praveen Bhadada, head of generative
AI at Persistent Systems. "We can now empower everyone on the team
to quickly build and integrate applications with a no-code
approach, using enterprise data sources while carefully aligning
with existing identities, roles, and authorization levels.”
Smartsheet is an enterprise software as a service offering for
collaboration and work management. "Amazon Q Business is
streamlining knowledge management and accelerating employee
productivity at Smartsheet," said Bani Bedi, senior vice president
of corporate development and strategy at Smartsheet. "Previously,
it was too difficult for our 3,300 employees to find the
information they needed across public help documents, training
courses, and hundreds of all-employee Slack help channels. We have
consolidated our organizational knowledge into a single AI engine
to give our workforce immediate answers, significantly boosting
employee productivity. Now, employees can simply tag @AskMe in any
Slack channel, ask a question, and Amazon Q will instantly give
them an answer. Our CEO uses Amazon Q Business to obtain answers
and conduct research, getting the information that he needs without
interrupting an employee’s workflow. We accomplished all of this in
a couple of weeks and without writing a single line of code, using
our existing identity system. Additionally, our engineering teams
use Amazon Q to summarize incident statuses, identify action items,
access API documentation, and troubleshoot technical issues more
efficiently, so they can focus on delivering exceptional products
to our customers."
Sun Life is a leading international financial services
organization. "Together with AWS, we're leveraging generative AI to
help our people work more efficiently and deliver superior digital
experiences to our clients," said Laura Money, EVP & chief
information and technology innovation officer at Sun Life.
"Adopting Amazon Q Apps will enable our teams to build secure and
seamless solutions that create value and differentiation across our
business. For example, empowering our teams with access to Amazon Q
in just a few clicks will streamline the creation and sharing of
applications tailored to their respective needs."
Toyota Connected North America leads the development of Toyota’s
cloud-based digital Connected Mobility Intelligence Platform.
"Toyota is committed to delivering exceptional digital experiences
and continuously pushing boundaries for our customers. We realized
that we needed to take a closer look at some of our supporting
platforms, and evaluate architecture, tech debt, and needed
upgrades, including our aging 4GL code repositories," said Dave
Tsai, VP of engineering at Toyota Connected North America. "Amazon
Q Business provided our team insights into the areas of most
critical need, accelerating the effectiveness of our technical debt
assessment by 25%. With Amazon Q Developer's Code Transformation
capability, we look to harness generative AIs increasing
capabilities to accelerate applications and services upgrades by up
to 30%."
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 105 Availability Zones within 33 geographic
regions, with announced plans for 18 more Availability Zones and
six more AWS Regions in Malaysia, Mexico, New Zealand, the Kingdom
of Saudi Arabia, 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.
Source: Amazon.com, Inc.
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