Posted by Miguel Guevara, Product Manager, Privacy and Data Protection Office
At Google, we believe that innovation and privacy must go hand in hand. Earlier this month, we shared our work to keep people safe online, including our investments in leading privacy technologies such as differential privacy. Today, on Data Privacy Day, we want to share some updates on new ways we’re applying differential privacy technologies in our own products and making it more accessible to developers and businesses globally—providing them with greater access to data and insights while keeping people’s personal information private and secure.
Strengthening our core products with differential privacy
We first deployed our world-class differential privacy anonymization technology in Chrome nearly seven years ago and are continually expanding its use across our products including Google Maps and the Assistant. And as the world combats COVID-19, last year we published our COVID-19 Community Mobility Reports, which uses differential privacy to help public health officials, economists and policymakers globally as they make critical decisions for their communities while ensuring no personally identifiable information is made available at any point.
This year in the Google Play console, we’ll provide new app metrics and benchmarks to developers in a differentially private manner. When launched, developers will be able to easily access metrics related to how successfully their apps are engaging their users, such as Daily Active Users and Revenue per Active user, in a manner that helps ensure individual users cannot be identified or re-identified. By adding differential privacy to these new app metrics, we’ll provide meaningful insights to help developers improve their apps without compromising people’s privacy, or developer confidentiality. Moving forward, we plan to expand the number of metrics we provide to developers using differential privacy.
As we have in the last year, we’ll continue to make our existing differential privacy library even easier for developers to use. For example, this month we’re open sourcing a new differentially private SQL database query language extension that is used in thousands of queries done every day at Google. These queries help our analysts obtain business insights, and observe product trends. This is a step forward in democratizing privacy safe data analysis, empowering data scientists around the world to uncover powerful insights while protecting and respecting the privacy of individuals.
Partnering with OpenMined to make differential privacy more widely accessible
As we continue to make advancements with privacy-preserving technologies in our own products, it’s also important to us that developers have access to this technology. That’s why in 2019, we open-sourced our differential privacy library and made it freely accessible, easy to deploy and useful to developers globally. Since then, hundreds of developers, researchers and institutions have incorporated Google’s differential privacy algorithms into their work, enabling them to tackle new problems while using data in a responsible and privacy protective way. One of these companies is French healthcare startup Arkhn. For Arkhn, differential privacy is making it possible to pursue its mission to revolutionize the healthcare industry with artificial intelligence, enabling them to gather, query and analyze cross-department hospital data in a secure, and safe way.
To help bring our world class differential privacy library to more developer teams, like the one at Arkhn, today we’re excited to announce a new partnership with OpenMined, a group of open-source developers that is focused on taking privacy preserving technologies and expanding their usage around the world. Together with OpenMined, we will develop a version of our differential privacy library specifically for python developers. By replicating Google’s differentially private infrastructure, Python developers will have access to a new and unique way to treat their data with world-class privacy.
A collaborative approach to improving the state of privacy in Machine Learning
Two years ago, we introduced TensorFlow Privacy (GitHub), an open source library that makes it easier not only for developers to train machine-learning models with privacy, but also for researchers to advance the state of the art in machine learning with strong privacy guarantees. In the past year, we've expanded the library to include support for TensorFlow 2, as well as both the Keras Model interface and TensorFlow's premade estimators. Thanks to a collaboration with researchers from University of Waterloo, we’ve improved performance, with our new release making it four times faster or more to train on common workloads.
We also recognize that training with privacy might be expensive, or not feasible. So we set out to understand how private machine learning models are. Last year we open-sourced our attack library to help address this and help anyone using the library get a broader privacy picture of their machine models. Since then, we partnered with researchers at Princeton University, and the National University of Singapore who have added new features that expand the library’s scope to test generative models and non-neural network models. Recently, researchers at Stanford Medical School tried it on some of their models, to test for memorization. This testing helped them understand the privacy behavior of their models, something that wasn’t possible beforehand.
We’ve also published new research studying the trade-offs between differential privacy and robustness, another property at the core of AI ethics, privacy and safety.
Our work continues as we invest in world-class-privacy that provides algorithmic protections to the people who use our products while nurturing and expanding a healthy open-source ecosystem. We strongly believe that everyone globally deserves world-class privacy, and we’ll continue partnering with organizations to fulfill that mission.
Posted by Nikita Gandhi (Community Manager, GDG India), Nilay Yener (Program Manager, Flutter DevRel)
Happy New Year folks. It’s the perfect time of year to learn something new! Do you have an app idea you’ve been dreaming of over the holidays? If so, we have just the opportunity for you! Starting February 1st, leading up to our big event on March 3rd, join us for #30DaysOfFlutter to kickstart your learning journey and meet Flutter experts in the community. Whether you are building your first Flutter app or looking to improve your Flutter skills, we have curated content, code labs, and demos!
Flutter is Google’s open source UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. It’s one of the fastest growing, most in-demand cross platform frameworks to learn and is used by freelance developers and large organizations around the world. Flutter uses the Dart language, so it will feel natural to many of you familiar with object-oriented languages.
Along with the curated content, we will also have four live AskMeAnything sessions (#AMAs), where you can meet members of Google’s Flutter team and community. You can also join us on the FlutterDev Discord channel, where you can meet the other members of the community, ask and answer questions, and maybe make some new Flutter friends too!
Does this sound exciting? Visit the 30 Days of Flutter website to get more information and to register to join.
Your learning journey with Flutter for the month will look like this::
Week 1
Receive curated content to your inbox. Meet other Flutter Devs on Discord. Attend Kick Off Webinar on February 1st.
Week 2
Receive more content. Start building your first Flutter app. Join the webinar and ask your questions.
Week 3
Work on your app and attend the 3rd webinar to ask your questions.
Week 4
Complete your project and learn how to share it with the Flutter community.
Are you ready to learn one of the most in demand developer skills in the world?
Sign up to be a part of the journey and be sure to follow @FlutterDev on Twitter, to get updates about #30DaysOfFlutter.
Posted by Christina Yeh, Google Registry Team
Google Registry is always on the lookout for interesting websites that have launched using our top-level domains. 2020 was a rough year, so to help you make 2021 (at least a little bit) better, we’ve rounded up 21 ways you can start something .new, get .appy, turn a new .page, and make .dev(elopment) a breeze.
Start something .new:
Get .app(y):
Turn to the next .page:
Make .dev(elopment) a breeze:
Happy New Year from all of us at Google Registry! We hope these websites and apps help you get the most out of 2021.
Posted by Kübra Zengin, GDG North America Regional Lead
Image of participants in a recent Elevate workshop.
The North America Developer Ecosystem team recently hosted Elevate for Google Developer Groups organizers and Women Techmakers Ambassadors in US & Canada. The three-month professional development program met every Wednesday via Google Meet to help tech professionals upskill themselves with workshops on leadership, communication, thinking, and teamwork.
The first cohort of the seminar-style program recently came to a close, with 40+ Google Developer Groups organizers and Women Techmakers Ambassadors participating. Additionally, 18 guest speakers - 89% of whom were underrepresented genders - hosted specialized learning sessions over three months of events.
Elevate is just one example of the specialized applied skills training available to the Google Developer Groups community. As we look ahead to offering Elevate again in 2021, we wanted to share with you some of the key takeaways from the first installment of the program.
What the graduates had to say
From landing new roles at companies like Twitter and Accenture, to negotiating salary raises, the 40 graduates of Elevate have seen many successes. Here’s what a few of them had to say:
Whether it’s finding new jobs or moving to new countries, Elevate’s graduates have used their new skills to guide their careers towards their passions. Check out a few of the program’s key lessons below:
Bringing your best self to the table
One major focus of the program was to help community leaders develop their own professional identity and confidence by learning communication techniques that would help them stand out and define themselves in the workplace.
Entire learning sessions were dedicated to specific value-adding topics, including:
Along with other sessions on growth mindsets, problem solving, and more, attendees gained a deeper understanding of the best ways to present themselves, their ideas, and their worth in a professional setting - an essential ability that many feel has already helped them navigate job markets with more precision.
A team that feels valued brings value
The advice above, offered by a guest speaker during a teambuilding session, was one of the quotes that resonated with participants the most during the program. The emphasis on how coworkers think of each other and the best ways to build a culture of ownership over a team’s wins and losses embodies the key learnings central to Elevate’s mission.
The program further emphasized this message with learning sessions on:
With these trainings, paired with others on growth mindsets and decision making, Elevate’s participants were able to start analyzing the effectiveness of different work environments on productivity. Through breakout sessions, they quickly realized that the more secure and supported an employee feels, the more willing they are to go the extra mile for their team. Equipped with this new knowledge base, many participants have already started bringing these key takeaways to their own workplaces in an effort to build more inclusive and productive cultures.
Whether it’s finding a new role or improving your applied skills, we can’t wait to see how Google Developer programs can help members achieve their professional goals.
For similar opportunities, find out how to join a Google Developer Group near you, here. And register for upcoming applied skills trainings on the Elevate website, here.
Posted by Erica Hanson, Global Program Manager, Google Developer Student Clubs
Created by the United Nations in 2015 to be achieved by 2030, the 17 Sustainable Development Goals (SDGs) agreed upon by all 193 United Nations Member States aim to end poverty, ensure prosperity, and protect the planet.
Last year brought many challenges, but it also brought a greater spirit around helping each other and giving back to our communities. With that in mind, we invite students around the world to join the Google Developer Student Clubs 2021 Solution Challenge!
If you’re new to the Solution Challenge, it is an annual competition that invites university students to develop solutions for real world problems using one or more Google products or platforms.
This year, see how you can use Android, TensorFlow, Google Cloud, Flutter, or any of your favorite Google technologies to promote employment for all, economic growth, and climate action, by building a solution for one or more of the UN Sustainable Development Goals.
Participants will receive specialized prizes at different stages:
There are four main steps to joining the Solution Challenge and getting started on your project:
Google will provide Solution Challenge participants with various resources to help students build strong projects for their contest submission.
Once all the projects are submitted after the March 31st deadline, judges will evaluate and score each submission from around the world using the criteria listed on the website. From there, winning solutions will be announced in three rounds.
Round 1 (May): The Top 50 teams will be announced.
Round 2 (July): After the top 50 teams submit their new and improved solutions, 10 finalists will be announced.
Round 3 (August): In the finale, the top 3 grand prize winners will be announced live on YouTube during the 2021 Solution Challenge Demo Day.
With a passion for building a better world, savvy coding skills, and a little help from Google technology, we can’t wait to see the solutions students create.
Learn more and sign up for the 2021 Solution Challenge, here.
Posted by Toni Klopfenstein, Developer Advocate
When a user connects a smart device to the Google Assistant via the Home app, the user must select the appropriate related Action from the list of all available Actions. The user then clicks through multiple screens to complete their device setup. Today, we're releasing two new features to improve this device discovery process and drive customer adoption of your Smart Home Action through the Google Home app. App Discovery and Deep Linking are two convenience features that help users find your Google-Assistant compatible smart devices quickly and onboard faster.
App Discovery enables users to quickly find your smart home Action thanks to suggestion chips within the Google Home app. You can implement this new feature through the Actions Console by creating a verified brand link between your Action, your website, and your mobile app. App Discovery doesn't require any coding work to implement, making this a development-light feature that provides great improvements to the user experience of device linking.
In addition to helping users discover your Action directly through suggestion chips, Deep Linking enables you to guide users to your account linking flow within the Google Home app in one step. These deep links are easily added to your mobile app or web content, guiding users to your smart home integration with a single tap.
Deep Linking and App Discovery can help you create a more streamlined onboarding experience for your users, driving increased engagement and user satisfaction, and can be implemented with minimal engineering work.
To implement App Discovery and Deep Linking for your Smart Home Action, check out the developer documents, or watch the video covering these new features.
You can also check out the smart home codelabs if you are just starting to build out your Action.
We want to hear from you, so continue sharing your feedback with us through the issue tracker, and engage with other smart home developers in the /r/GoogleAssistantDev community. Follow @ActionsOnGoogle on Twitter for more of our team's updates, and tweet using #AoGDevs to share what you’re working on. We can’t wait to see what you build!
Posted by Jason Scott, Head of Startup Developer Ecosystem, U.S., Google
At Google, we have long understood that voice user interfaces can help millions of people accomplish their goals more effectively. Our journey in voice began in 2008 with Voice Search -- with notable milestones since, such as building our first deep neural network in 2012, our first sequence-to-sequence network in 2015, launching Google Assistant in 2016, and processing speech fully on device in 2019. These building blocks have enabled the unique voice experiences across Google products that our users rely on everyday.
Voice AI startups play a key role in helping build and deliver innovative voice-enabled experiences to users. And, Google is committed to helping tech startups deliver high impact solutions in the voice space. This month, we are excited to announce the Google for Startups Accelerator: Voice AI program, which will bring together the best of Google’s programs, products, people and technology with a joint mission to advance and support the most promising voice-enabled AI startups across North America.
As part of this Google for Startups Accelerator, selected startups will be paired with experts to help tackle the top technical challenges facing their startup. With an emphasis on product development and machine learning, founders will connect with voice technology and AI/ML experts from across Google to take their innovative solutions to the next level.
We are proud to launch our first ever Google for Startups Accelerator: Voice AI -- building upon Google’s longstanding efforts to advance the future of voice-based computing. The accelerator will kick off in March 2021, bringing together a cohort of 10 to 12 innovative voice technology startups. If this sounds like your startup, we'd love to hear from you. Applications are open until January 28, 2021.
Posted by Louis Wasserman, Software Engineer and James Ward, Developer Advocate
Kotlin is now the fourth "most loved" programming language with millions of developers using it for Android, server-side / cloud backends, and various other target runtimes. At Google, we've been building more of our apps and backends with Kotlin to take advantage of its expressiveness, safety, and excellent support for writing asynchronous code with coroutines.
Since everything in Google runs on top of gRPC, we needed an idiomatic way to do gRPC with Kotlin. Back in April 2020 we announced the open sourcing of gRPC Kotlin, something we'd originally built for ourselves. Since then we've seen over 30,000 downloads and usage in Android and Cloud. The community and our engineers have been working hard polishing docs, squashing bugs, and making improvements to the project; culminating in the shiny new 1.0 release! Dive right in with the gRPC Kotlin Quickstart!
For those new to gRPC & Kotlin let's do a quick runthrough of some of the awesomeness. gRPC builds on Protocol Buffers, aka "protos" (language agnostic & high performance data interchange) and adds the network protocol for efficiently communicating with protos. From a proto definition the servers, clients, and data transfer objects can all be generated. Here is a simple gRPC proto:
message HelloRequest { string name = 1; } message HelloReply { string message = 1; } service Greeter { rpc SayHello (HelloRequest) returns (HelloReply) {} }
In a Kotlin project you can then define the implementation of the Greeter's SayHello service with something like:
object : GreeterGrpcKt.GreeterCoroutineImplBase() { override suspend fun sayHello(request: HelloRequest) = HelloReply .newBuilder() .setMessage("hello, ${request.name}") .build() }
You'll notice that the function has `suspend` on it because it uses Kotlin's coroutines, a built-in way to handle async / reactive IO. Check out the server example project.
With gRPC the client "stubs" are generated making it easy to connect to gRPC services. For the protoc above, the client stub can be used in Kotlin with:
val stub = GreeterCoroutineStub(channel) val request = HelloRequest.newBuilder().setName("world").build() val response = stub.sayHello(request) println("Received: ${response.message}")
In this example the `sayHello` method is also a `suspend` function utilizing Kotlin coroutines to make the reactive IO easier. Check out the client example project.
Kotlin also has an API for doing reactive IO on streams (as opposed to requests), called Flow. gRPC Kotlin generates client and server stubs using the Flow API for stream inputs and outputs. The proto can define a service with unary streaming or bidirectional streaming, like:
service Greeter { rpc SayHello (stream HelloRequest) returns (stream HelloReply) {} }
In this example, the server's `sayHello` can be implemented with Flows:
object : GreeterGrpcKt.GreeterCoroutineImplBase() { override fun sayHello(requests: Flow<HelloRequest>): Flow<HelloReply> { return requests.map { request -> println(request) HelloReply.newBuilder().setMessage("hello, ${request.name}").build() } } }
This example just transforms each `HelloRequest` item on the flow to an item in the output / `HelloReply` Flow.
The bidirectional stream client is similar to the coroutine one but instead it passes a Flow to the `sayHello` stub method and then operates on the returned Flow:
val stub = GreeterCoroutineStub(channel) val helloFlow = flow { while(true) { delay(1000) emit(HelloRequest.newBuilder().setName("world").build()) } } stub.sayHello(helloFlow).collect { helloResponse -> println(helloResponse.message) }
In this example the client sends a `HelloRequest` to the server via Flow, once per second. When the client gets items on the output Flow, it just prints them. Check out the bidi-streaming example project.
As you've seen, creating data transfer objects and services around them is made elegant and easy with gRPC Kotlin. But there are a few other exciting things we can do with this...
Android Clients
Protobuf compilers can have a "lite" mode which generates smaller, higher performance classes which are more suitable for Android. Since gRPC Kotlin uses gRPC Java it inherits the benefits of gRPC Java's lite mode. The generated code works great on Android and there is a `grpc-kotlin-stub-lite` artifact which depends on the associated `grpc-protobuf-lite`. Using the generated Kotlin stub client is just like on the JVM. Check out the stub-android example and android example.
GraalVM Native Image Clients
The gRPC lite mode is also a great fit for GraalVM Native Image which turns JVM-based applications into ahead-of-time compiled native images, i.e. they run without a JVM. These applications can be smaller, use less memory, and start much faster so they are a good fit for auto-scaling and Command Line Interface environments. Check out the native-client example project which produces a nice & small 14MB executable client app (no JVM needed) and starts, connects to the server, makes a request, handles the response, and exits in under 1/100th of a second using only 18MB of memory.
Google Cloud Ready
Backend services created with gRPC Kotlin can easily be packaged for deployment in Kubernetes, Cloud Run, or really anywhere you can run docker containers or JVM apps. Cloud Run is a cloud service that runs docker containers and scales automatically based on demand so you only pay when your service is handling requests. If you'd like to give a gRPC Kotlin service a try on Cloud Run:
export PROJECT_ID=PUT_YOUR_PROJECT_ID_HERE docker run -it gcr.io/$PROJECT_ID/grpc-hello-world-mvn \ "java -cp target/classes:target/dependency/* io.grpc.examples.helloworld.HelloWorldClientKt YOUR_CLOUD_RUN_DOMAIN_NAME"
Here is a video of what that looks like:
Check out more Cloud Run gRPC Kotlin examples
Thank You!
We are super excited to have reached 1.0 for gRPC Kotlin and are incredibly grateful to everyone who filed bugs, sent pull requests, and gave the pre-releases a try! There is still more to do, so if you want to help or follow along, check out the project on GitHub.
Also huge shoutouts to Brent Shaffer, Patrice Chalin, David Winer, Ray Tsang, Tyson Henning, and Kevin Bierhoff for all their contributions to this release!
Posted by Payam Shodjai, Director, Product Management Google Assistant
With 2020 coming to a close, we wanted to reflect on everything we have launched this year to help you, our developers and partners, create powerful voice experiences with Google Assistant.
Today, many top brands and developers turn to Google Assistant to help users get things done on their phones and on Smart Displays. Over the last year, the number of Actions built by third-party developers has more than doubled. Below is a snapshot of some of our partners who’ve integrated with Google Assistant:
Below are a few highlights of what we have launched in 2020:
1. Integrate your Android mobile Apps with Google Assistant
App Actions allow your users to jump right into existing functionality in your Android app with the help of Google Assistant. It makes it easier for users to find what they're looking for in your app in a natural way by using their voice. We take care of all the Natural Language Understanding (NLU) processing, making it easy to develop in only a few days. In 2020, we announced that App Actions are now available for all Android developers to voicify their apps and integrate with Google Assistant.
For common tasks such as opening your apps, opening specific pages in your apps or searching within apps, we introduced Common Intents. For a deeper integration, we’ve expanded our vertical-specific built-in intents (BIIs), to cover more than 60 intents across 10 verticals, adding new categories like Social, Games, Travel & Local, Productivity, Shopping and Communications.
For cases where there isn't a built-in intent for your app functionality, you can instead create custom intents that are unique to your Android app. Like BIIs, custom intents follow the actions.xml schema and act as connection points between Assistant and your defined fulfillments.
Learn more about how to integrate your app with Google Assistant here.
2. Create new experiences for Smart Displays
We also announced new developer tools to help you build high quality, engaging experiences to reach users at home by building for Smart Displays.
Actions Builder is a new web-based IDE that provides a graphical interface to show the entire conversation flow. It allows you to manage Natural Language Understanding (NLU) training data and provides advanced debugging tools. And, it is fully integrated into the Actions Console so you can now build, debug, test, release, and analyze your Actions - all in one place.
Actions SDK, a file based representation of your Action and the ability to use a local IDE. The SDK not only enables local authoring of NLU and conversation schemas, but it also allows bulk import and export of training data to improve conversation quality. The Actions SDK is accompanied by a command line interface, so you can build and manage an Action fully in code using your favorite source control and continuous integration tools.
Interactive Canvas allows you to add visual, immersive experiences to Conversational Actions. We announced the expansion of Interactive Canvas to support Storytelling and Education verticals earlier this year.
Continuous Match Mode allows the Assistant to respond immediately to a user’s speech for more fluid experiences by recognizing defined words and phrases set by you.
We also created a central hub for you to find resources to build games on Smart Displays. This site is filled with a game design playbook, interviews with game creators, code samples, tools access, and everything you need to create awesome games for smart displays.
Actions API provides a new programmatic way to test your critical user journeys more thoroughly and effectively, to help you ensure your Action's conversations run smoothly.
The Dialogflow migration tool inside the Actions Console automates much of the work to move projects to the new and improved Actions Builder tool.
We also worked with partners such as Voiceflow and Jovo, to launch integrations to support voice application development on the Assistant. This effort is part of our commitment to enable you to leverage your favorite development tools, while building for Google Assistant.
We launched several other new features that help you build high quality experiences for the home, such as Media APIs, new and improved voices (available in Actions Console), home storage API.
Get started building for Smart Displays here.
3. Discovery features
Once you build high quality Actions, you are ready for your users to discover them. We have designed new touch points to help your users easily learn about your Actions..
For example, on Android mobile, we’ll be recommending relevant Apps Actions even when the user doesn't mention the app’s name explicitly by showing suggestions. Google Assistant will also be suggesting apps proactively, depending on individual app usage patterns. Android mobile users will also be able to customize their experience, creating their own way to automate their most common tasks with app shortcuts, enabling people to set up quick phrases to enable app functions they frequently use. By simply saying "Hey Google, shortcuts", they can set up and explore suggested shortcuts in the settings screen. We’ll also make proactive suggestions for shortcuts throughout Google Assistants’ mobile experience, tailored to how you use your phone.
Assistant Links deep link to your conversational Action to deliver rich Google Assistant experiences to your websites, so you can send your users directly to your conversational Actions from anywhere on the web.
We also recently opened two new built-in intents (BIIs) for public registration: Education and Storytelling. Registering your Actions for these intents allows your users to discover them in a simple, natural way through general requests to Google Assistant on Smart Displays. People will then be able to say "Hey Google, teach me something new" and they will be presented with a browsable selection of different education experiences. For stories, users can simply say "Hey Google, tell me a story".
We know you build personalized and premium experience for your users, and need to make it easy for them to connect their accounts to your Actions. To help streamline this process we opened two betas for improved account linking flows that will allow simple, streamlined authentication via apps.
Looking ahead, we will double down on enabling you, our developers and partners to build great experiences for GoogleAssistant and help you reach your users on the go and at home. You can expect to hear more from us on how we are improving the Google Assistant experience to make it easy for Android developers to integrate their Android app with Google Assistant and also help developers achieve success through discovery and monetization.
We are excited to see what you will build with these new features and tools. Thank you for being a part of the Google Assistant ecosystem. We can’t wait to launch even more features and tools for Android developers and Smart Display experiences in 2021.
Want to stay in the know with announcements from the Google Assistant team? Sign up for our monthly developer newsletter here.
Superheroes are well known for wearing capes, fighting villains and looking to save the world from evil. There also are superheroes that quietly choose to use their super powers to explain technology to new users, maintain community forums, write blog posts, speak at events, host video series, create demos, share sample code and more. All in the name of helping other developers become more successful by learning new skills, delivering better apps, and ultimately enhancing their careers. At Google, we refer to the latter category of superheroes as Google Developer Experts or “GDEs” for short.
The Google Developer Experts program is a global network of deeply experienced technology experts, thought leaders and influencers who actively support developer communities around the world, sharing their knowledge and enthusiasm for a wide range of topic areas from Android to Angular to Google Assistant to Google Cloud – and of course, Google Workspace. Mindful that all GDEs are volunteers who not only give their time freely to support others, they also help improve our products by offering their insightful feedback, heavily testing new features often before they are released, all the while helping expand both use cases and audiences along the way.
With the Google Workspace GDE community including members from more than a dozen countries around the world, we wanted to ask Google Workspace Developer experts what excites them about building on Google Workspace, and why they do what they do as our superheroes helping others become better Google Workspace developers. Here’s what a few of these experts had to say:
