Amazon CodeWhisperer now enables developers to
accelerate application development and modernization on MongoDB
using an AI-powered coding companion
Cascadeo, gravity9, and Redapt among customers
and partners excited to use Amazon CodeWhisperer with
MongoDB
NEW
YORK, Nov. 6, 2023 /PRNewswire/ -- MongoDB, Inc.
(NASDAQ: MDB) and Amazon Web Services, Inc. (AWS), an Amazon.com
(NASDAQ: AMZN) company, today announced the two companies are
collaborating to optimize Amazon CodeWhisperer to provide enhanced
suggestions for application development and modernization on
MongoDB's industry-leading developer data platform that millions of
developers and tens of thousands of customers rely on every day for
business-critical applications. Trained on billions of lines of
Amazon and publicly available code, Amazon CodeWhisperer is an
AI-powered coding companion from AWS that generates code
suggestions based on natural-language comments or existing code in
developers' integrated development environments (IDEs). Working
together with AWS, MongoDB provided curated training data for
MongoDB use cases and took part in the evaluation of Amazon
CodeWhisperer outputs throughout the training process to promote
high-quality code suggestions. While Amazon CodeWhisperer already
provided support for building applications on MongoDB, developers
can now get enhanced suggestions that reflect best practices,
allowing developers to ideate more quickly, rapidly prototype new
features, and accelerate application development.
"Generative AI has the potential to not only revolutionize how
end-users interact with modern applications but also how developers
build those applications," said Andrew
Davidson, SVP of Product at MongoDB. "Collaborating with AWS
to train Amazon CodeWhisperer on MongoDB is a step in that
direction, and developers can now build more quickly and focus on
higher-value tasks. With built-in security scanning and the ability
to provide source and licensing information when suggestions
resemble publicly available open source training data, Amazon
CodeWhisperer now provides developers building on MongoDB a unique
experience that will get even better over time."
"More and more developers are realizing the potential of
generative AI-powered coding companions to transform how work gets
done, giving them more time to focus on solving hard problems,"
said Deepak Singh, VP of Next Gen
Developer Experience at AWS. "Amazon CodeWhisperer already provides
an optimized experience when working on common coding tasks and
with AWS APIs. By collaborating with MongoDB, we are extending
those capabilities to millions of MongoDB developers. We are
excited to put Amazon CodeWhisperer in the hands of even more
developers to help them tap into the transformative potential of
generative AI."
As organizations today accelerate deployment of cloud-native
applications, developers want to find ways to reduce repetitive
tasks so they can focus on building new applications and shipping
new features. IDC estimates that 750 million cloud-native
applications will be built in the next two years, and that number
will likely increase as enterprises and startups alike take
advantage of generative AI for both building applications and
reinventing end-user application experiences. Developers want to
integrate generative AI-powered coding assistants into their
day-to-day workflow to help them increase their productivity and
focus on harder problems. However, these assistants are often
trained on publicly available datasets or a company's own internal
data, and some tools developers build with may not have
high-quality, publicly available code samples included as part of a
coding assistant's training data. As a result, these coding
assistants can provide some support for these tools, but the
recommendations may not conform to best practices. While developers
have realized the potential benefit for AI-powered coding
companions across many tasks, they want these solutions to be
further optimized for the tools they use today so they can unlock
the full potential of generative AI across their day-to-day
work.
Through this new collaboration to train and evaluate Amazon
CodeWhisperer on code and libraries specific to MongoDB, developers
can get enhanced suggestions for MongoDB to help them more quickly
build and modernize their applications. AWS and MongoDB worked
together to train Amazon CodeWhisperer on highly curated content
and code from MongoDB documentation, detailed use cases, and common
tasks with best practices that developers encounter when working
with data on MongoDB. As a result, Amazon CodeWhisperer can help
developers more quickly write high-quality code when building data
aggregations, performing database operations, and accelerating
migration of applications to MongoDB for modernization. These
optimizations are available for five of the most common programming
languages used to build with MongoDB, including C#, Go, Java,
JavaScript, and Python, while also allowing developers to take
advantage of core Amazon CodeWhisperer features, including built-in
security scanning and a reference tracker that provides information
about the origin of a code suggestion when it resembles open source
training data. Amazon CodeWhisperer is free for individual
developers with no qualifications or time limits for generating
code, so the entire MongoDB community can start taking advantage of
Amazon CodeWhisperer's enhanced suggestions. To get started,
developers simply install the Amazon CodeWhisperer extension for
their preferred IDE, provide an AWS Builder ID, and begin using the
service for code completion and generation. Amazon CodeWhisperer
now helps reduce the amount of time developers spend creating code
for building data-driven applications on MongoDB and will continue
to be trained to improve and refine code suggestions.
To get started building applications on MongoDB with Amazon
CodeWhisperer, visit
mongodb.com/products/integrations/amazon-codewhisperer.
Cascadeo is a managed services and professional services company
devoted to fostering customer innovation with a philosophy rooted
in ethical engineering practices. "With hundreds of customer cloud
deployments under management, we use AWS AI services, such as
Amazon CodeWhisperer, Amazon SageMaker, and Amazon Bedrock, to help
make us better at consistent operations, faster at responding to
customer needs, and radically reduce both the cost of engineering
and operations for our company and clients," said Jared Reminer,
Chief Technology Officer at Cascadeo. "Our developers choose
CodeWhisperer for its optimized experience when working with AWS
APIs, boosting their productivity and improving code quality when
building on AWS. Through this collaboration to train and evaluate
CodeWhisperer on curated MongoDB data, our developers can now get
intelligent recommendations across both AWS and MongoDB Atlas,
streamlining how applications get built and giving developers more
time to focus on solving hard problems for clients."
gravity9 combines highly skilled individuals with deep
engineering knowledge together with customer strategy and design
expertise to achieve great results for clients in short timescales.
"Developers have always wanted to have the best tools available to
them to build and ship high-quality applications with speed, and
businesses that offer these tools to development teams have a
competitive advantage," said Eric
Allen, Partner at gravity9. "With AI-powered coding
assistants becoming increasingly adopted, Amazon CodeWhisperer
trained on MongoDB has unique advantages. Developers not only get
automatic code suggestions, code that may resemble publicly
available open source training data is flagged to help developers
avoid compliance issues. But most importantly, developers can now
use Amazon CodeWhisperer to build on MongoDB's leading developer
data platform with MongoDB Atlas to ship next-generation
applications at greater speed."
Redapt is an end-to-end technology solutions provider that
brings clarity to a dynamic technical environment. "Developers want
to focus on building great applications, but there is a lot of
undifferentiated heavy lifting throughout the development process
that does not bring value to our clients and distracts from
meaningful work," said Rizwan Patel,
Field CTO at Redapt. "Amazon CodeWhisperer has been a game changer
for us, removing that heavy lifting, improving code quality, and
accelerating development velocity. We're thrilled to see MongoDB
collaborate with AWS by providing highly curated data to train and
evaluate CodeWhisperer, because it will open up new possibilities
when building solutions with MongoDB Atlas."
About MongoDB and AWS Alliance
MongoDB and AWS have
had a strong relationship since 2016 after the launch of MongoDB
Atlas—MongoDB's leading developer data platform for building and
deploying modern applications at scale. Tens of thousands of
customers run production workloads with MongoDB Atlas on AWS,
including Capital One, Epic Games, Siemens, Verizon, Goldman Sachs,
and Intuit. In 2017, MongoDB Atlas became available on the AWS
Marketplace, making it easier for joint customers to buy and
consume MongoDB Atlas on AWS, with a pay-as-you-go offering
launched in 2022. MongoDB has been awarded numerous AWS Partner
Network awards over the course of the partnership for its
commitment to working with customers globally to modernize
applications with MongoDB Atlas on AWS. To learn more, visit
aws.amazon.com/partners/mongodb.
About MongoDB
Headquartered in New York, MongoDB's mission is to empower
innovators to create, transform, and disrupt industries by
unleashing the power of software and data. Built by developers, for
developers, MongoDB's developer data platform is a database with an
integrated set of related services that allow development teams to
address the growing requirements for today's wide variety of modern
applications, all in a unified and consistent user experience.
MongoDB has tens of thousands of customers in over 100 countries.
The MongoDB database platform has been downloaded hundreds of
millions of times since 2007, and there have been millions of
builders trained through MongoDB University courses. To learn more,
visit mongodb.com.
Forward-looking Statements
This press release includes
certain "forward-looking statements" within the meaning of Section
27A of the Securities Act of 1933, as amended, or the Securities
Act, and Section 21E of the Securities Exchange Act of 1934, as
amended, including statements concerning enhancements of MongoDB's
technology and offerings. These forward-looking statements include,
but are not limited to, plans, objectives, expectations and
intentions and other statements contained in this press release
that are not historical facts and statements identified by words
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reflected in or suggested by those forward-looking statements are
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expectations or strategies will be attained or achieved.
Furthermore, actual results may differ materially from those
described in the forward-looking statements and are subject to a
variety of assumptions, uncertainties, risks and factors that are
beyond our control including, without limitation: the impact the
COVID-19 pandemic may have on our business and on our customers and
our potential customers; the effects of the ongoing military
conflict between Russia and
Ukraine on our business and future
operating results; economic downturns and/or the effects of rising
interest rates, inflation and volatility in the global economy and
financial markets on our business and future operating results; our
potential failure to meet publicly announced guidance or other
expectations about our business and future operating results; our
limited operating history; our history of losses; failure of our
platform to satisfy customer demands; the effects of increased
competition; our investments in new products and our ability to
introduce new features, services or enhancements; our ability to
effectively expand our sales and marketing organization; our
ability to continue to build and maintain credibility with the
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enforce and enhance our intellectual property; the growth and
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and technologies successfully or achieve the expected benefits of
such acquisitions; our ability to maintain the security of our
software and adequately address privacy concerns; our ability to
manage our growth effectively and successfully recruit and retain
additional highly-qualified personnel; and the price volatility of
our common stock. These and other risks and uncertainties are more
fully described in our filings with the Securities and Exchange
Commission ("SEC"), including under the caption "Risk Factors" in
our Quarterly Report on Form 10-Q for the quarter ended
July 31, 2023, filed with the SEC on
September 1, 2023 and other filings
and reports that we may file from time to time with the SEC. Except
as required by law, we undertake no duty or obligation to update
any forward-looking statements contained in this release as a
result of new information, future events, changes in expectations
or otherwise.
MongoDB Public Relations
press@mongodb.com
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SOURCE MongoDB, Inc.