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AI-Powered Developer: Code 10x Faster with Amazon Q
Aug 18, 2025
What if you could code, test, and deploy 10x faster—without switching tabs or digging through documentation? In this session, we dive into how Amazon Q is transforming the developer experience: • Eliminating boilerplate and repetitive coding tasks • Accelerating cloud development with one-command solutions • Auto-generating infrastructure as code (IaC) • Securing IAM permissions automatically • Writing unit tests intelligently • Deploying full-stack apps to AWS seamlessly Through live examples and a real coding challenge, you’ll see how Amazon Q acts as your AI co-pilot for building production-ready applications. ------------------------------------------------------------------- ⚡Download Sharp Rewards Wallet to earn Rewards: (200 bonus on using this link) http://invite.sharpplatform.com/VirtualConf 📺 CSharp TV - Dev Streaming Destination http://csharp.tv
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Learn in this episode of AI dev tools on
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Learn in this episode of AI dev tools on
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Learn in this episode of AI dev tools on how you can code 10x faster with Amazon
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how you can code 10x faster with Amazon
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how you can code 10x faster with Amazon cube. And joining us today is Versa Wma
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cube. And joining us today is Versa Wma
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cube. And joining us today is Versa Wma who is a AWS community builder and a
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who is a AWS community builder and a
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who is a AWS community builder and a lead cloud engineer. Hi V and welcome to
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lead cloud engineer. Hi V and welcome to
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lead cloud engineer. Hi V and welcome to the show.
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the show.
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the show. [Music]
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Hello everyone. Hey Simon, it's great to
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Hello everyone. Hey Simon, it's great to
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Hello everyone. Hey Simon, it's great to be here. I'm technical cloud lead at
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be here. I'm technical cloud lead at
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be here. I'm technical cloud lead at Accenture in being in this industry from
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Accenture in being in this industry from
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Accenture in being in this industry from last seven years and I'm AWS community
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last seven years and I'm AWS community
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last seven years and I'm AWS community builder. So I have few tips and tricks
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builder. So I have few tips and tricks
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builder. So I have few tips and tricks to share up with my developer community
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to share up with my developer community
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to share up with my developer community so that they can get a hold of this AI
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so that they can get a hold of this AI
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so that they can get a hold of this AI powered world and they will get quickly
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powered world and they will get quickly
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powered world and they will get quickly get a uh know about what Amazon Q is. So
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get a uh know about what Amazon Q is. So
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get a uh know about what Amazon Q is. So yeah let's quickly jump into it.
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yeah let's quickly jump into it.
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yeah let's quickly jump into it. A little introduction I have already
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A little introduction I have already
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A little introduction I have already given about myself that's me. Uh so yeah
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given about myself that's me. Uh so yeah
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given about myself that's me. Uh so yeah let's quickly get into the agenda.
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let's quickly get into the agenda.
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let's quickly get into the agenda. So here firstly I'll be briefing you a
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So here firstly I'll be briefing you a
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So here firstly I'll be briefing you a little bit of the story time for the
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little bit of the story time for the
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little bit of the story time for the developers for AI like how AI can be
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developers for AI like how AI can be
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developers for AI like how AI can be useful for developers and the developers
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useful for developers and the developers
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useful for developers and the developers dilemma in that we'll get to see what
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dilemma in that we'll get to see what
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dilemma in that we'll get to see what developers are been doing pre in
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developers are been doing pre in
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developers are been doing pre in previous day and what they are have been
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previous day and what they are have been
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previous day and what they are have been doing now. So you have to get a hold
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doing now. So you have to get a hold
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doing now. So you have to get a hold until we get jump into the developers
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until we get jump into the developers
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until we get jump into the developers dilemma section. After that the main
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dilemma section. After that the main
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dilemma section. After that the main topic Amazon Q and we'll quickly see and
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topic Amazon Q and we'll quickly see and
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topic Amazon Q and we'll quickly see and we'll also have the deep dive on the
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we'll also have the deep dive on the
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we'll also have the deep dive on the Amazon Q part. We'll also uh if time
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Amazon Q part. We'll also uh if time
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Amazon Q part. We'll also uh if time permits I'll also show you like how it
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permits I'll also show you like how it
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permits I'll also show you like how it basically works. So without wasting any
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basically works. So without wasting any
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basically works. So without wasting any time let's quickly jump in.
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time let's quickly jump in.
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time let's quickly jump in. Okay. A little story about it. So uh the
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Okay. A little story about it. So uh the
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Okay. A little story about it. So uh the modern developer paradox right of course
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modern developer paradox right of course
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modern developer paradox right of course there will be so many tools and we have
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there will be so many tools and we have
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there will be so many tools and we have very little time like think of a typical
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very little time like think of a typical
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very little time like think of a typical developer day you are juggling between
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developer day you are juggling between
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developer day you are juggling between yeah stack overflows documentation PR
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yeah stack overflows documentation PR
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yeah stack overflows documentation PR reviews any errors that you're coming
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reviews any errors that you're coming
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reviews any errors that you're coming through and the miss standups and I'm
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through and the miss standups and I'm
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through and the miss standups and I'm sure you don't want to be on that track
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sure you don't want to be on that track
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sure you don't want to be on that track where you are feeling burnout right
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where you are feeling burnout right
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where you are feeling burnout right because this burnout is real. So the
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because this burnout is real. So the
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because this burnout is real. So the problem isn't coding, right? We have
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problem isn't coding, right? We have
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problem isn't coding, right? We have multiple things on our plate that we
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multiple things on our plate that we
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multiple things on our plate that we need to be occupied with at the same
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need to be occupied with at the same
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need to be occupied with at the same time. So like debugging uh debugging and
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time. So like debugging uh debugging and
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time. So like debugging uh debugging and inventing the new strategies what could
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inventing the new strategies what could
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inventing the new strategies what could be done then again there are some
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be done then again there are some
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be done then again there are some pending backlogs errors or what not. So
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pending backlogs errors or what not. So
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pending backlogs errors or what not. So what if your IDE comes with a co-pilot
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what if your IDE comes with a co-pilot
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what if your IDE comes with a co-pilot that already know your code base right
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that already know your code base right
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that already know your code base right who understood the AWS or any other
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who understood the AWS or any other
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who understood the AWS or any other cloud I'm talking here about
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cloud I'm talking here about
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cloud I'm talking here about specifically about AWS
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specifically about AWS
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specifically about AWS and that could handle 80% of your
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and that could handle 80% of your
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and that could handle 80% of your development work
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development work
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development work like how does it sound I think it sounds
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like how does it sound I think it sounds
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like how does it sound I think it sounds music to my ears because that's when I
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music to my ears because that's when I
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music to my ears because that's when I think most of the things which I need to
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think most of the things which I need to
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think most of the things which I need to focus on that I need to do apart from
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focus on that I need to do apart from
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focus on that I need to do apart from the other work. AI done it for me. So
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the other work. AI done it for me. So
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the other work. AI done it for me. So that's like a cherry on the cake, right?
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that's like a cherry on the cake, right?
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that's like a cherry on the cake, right? Okay.
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Okay.
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Okay. This is the coding evolution I'll say.
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This is the coding evolution I'll say.
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This is the coding evolution I'll say. So in 2010 like people do hello world,
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So in 2010 like people do hello world,
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So in 2010 like people do hello world, right? They are doing all the coding
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right? They are doing all the coding
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right? They are doing all the coding work over the notepad
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work over the notepad
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work over the notepad and that was a bit harsh if we think it
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and that was a bit harsh if we think it
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and that was a bit harsh if we think it right now. True. Then it moved to the
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right now. True. Then it moved to the
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right now. True. Then it moved to the framework developer where it's all about
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framework developer where it's all about
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framework developer where it's all about the frameworks and APIs. So it's no more
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the frameworks and APIs. So it's no more
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the frameworks and APIs. So it's no more the notepad era. They have moved. Now
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the notepad era. They have moved. Now
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the notepad era. They have moved. Now it's all about like wipe coding with AI
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it's all about like wipe coding with AI
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it's all about like wipe coding with AI like why you want to write your code uh
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like why you want to write your code uh
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like why you want to write your code uh like from scratch because AI does it for
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like from scratch because AI does it for
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like from scratch because AI does it for you. the more time you want to put uh in
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you. the more time you want to put uh in
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you. the more time you want to put uh in like for debugging for making extra
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like for debugging for making extra
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like for debugging for making extra effort for creative uh for creative
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effort for creative uh for creative
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effort for creative uh for creative ideas and whatnot right so coding is not
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ideas and whatnot right so coding is not
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ideas and whatnot right so coding is not just writing lines uh maybe in notepad
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just writing lines uh maybe in notepad
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just writing lines uh maybe in notepad in VS code anywhere right it's actually
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in VS code anywhere right it's actually
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in VS code anywhere right it's actually about solving the problems like
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about solving the problems like
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about solving the problems like integrating the services and constantly
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integrating the services and constantly
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integrating the services and constantly learning
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learning
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learning um AI
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um AI
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um AI has multiple agents like Amazon Q which
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has multiple agents like Amazon Q which
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has multiple agents like Amazon Q which is now expert in programming because
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is now expert in programming because
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is now expert in programming because Amazon has been in this era and uh they
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Amazon has been in this era and uh they
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Amazon has been in this era and uh they have trained their model from the last
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have trained their model from the last
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have trained their model from the last 17 years of their database. So that's
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17 years of their database. So that's
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17 years of their database. So that's really good right
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really good right
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really good right apart from that uh whether you are new
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apart from that uh whether you are new
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apart from that uh whether you are new to AWS or you're scaling enterprise
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to AWS or you're scaling enterprise
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to AWS or you're scaling enterprise frameworks Amazon Q accelerates coding
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frameworks Amazon Q accelerates coding
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frameworks Amazon Q accelerates coding reduce error and provide instance
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reduce error and provide instance
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reduce error and provide instance guidance on the best practice all for
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guidance on the best practice all for
5:05
guidance on the best practice all for the from your IDE
5:08
the from your IDE
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the from your IDE terminal or AWS console.
5:12
Why AI for developers?
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Why AI for developers?
5:15
Why AI for developers? because you want to concentrate more on
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because you want to concentrate more on
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because you want to concentrate more on your work rather than writing the code
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your work rather than writing the code
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your work rather than writing the code from scratch. So that's why we have AI
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from scratch. So that's why we have AI
5:23
from scratch. So that's why we have AI and right uh nowadays VIP coding is
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and right uh nowadays VIP coding is
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and right uh nowadays VIP coding is getting very famous. So you have to use
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getting very famous. So you have to use
5:29
getting very famous. So you have to use it for sure if you haven't been to yet
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it for sure if you haven't been to yet
5:33
it for sure if you haven't been to yet the developers dilemma and the AI
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the developers dilemma and the AI
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the developers dilemma and the AI revolution.
5:37
revolution.
5:37
revolution. Okay, modern cloud deployment is very
5:40
Okay, modern cloud deployment is very
5:40
Okay, modern cloud deployment is very powerful but like it is very
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powerful but like it is very
5:42
powerful but like it is very overwhelming as well because there are
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overwhelming as well because there are
5:45
overwhelming as well because there are dozen of AWS services. There could be
5:48
dozen of AWS services. There could be
5:48
dozen of AWS services. There could be cryptic errors, endless documentation
5:51
cryptic errors, endless documentation
5:51
cryptic errors, endless documentation and complex best practice which tends to
5:54
and complex best practice which tends to
5:54
and complex best practice which tends to slow us down. Rather than giving our
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slow us down. Rather than giving our
5:58
slow us down. Rather than giving our energy and focus into one thing, we have
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energy and focus into one thing, we have
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energy and focus into one thing, we have to segregate into multiple things like
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to segregate into multiple things like
6:03
to segregate into multiple things like we are juggling. Just now we saw one um
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we are juggling. Just now we saw one um
6:07
we are juggling. Just now we saw one um slide where we are developers who are
6:10
slide where we are developers who are
6:10
slide where we are developers who are engaged with either error handling,
6:12
engaged with either error handling,
6:12
engaged with either error handling, stack overflow etc. So by that time you
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stack overflow etc. So by that time you
6:17
stack overflow etc. So by that time you have to be focused on any one thing
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have to be focused on any one thing
6:19
have to be focused on any one thing which is writing the code solving the
6:22
which is writing the code solving the
6:22
which is writing the code solving the problem.
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problem.
6:24
problem. Generic AI coding tools can help with
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Generic AI coding tools can help with
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Generic AI coding tools can help with basic code but they fumble in cloud
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basic code but they fumble in cloud
6:28
basic code but they fumble in cloud native context like that's why we have
6:31
native context like that's why we have
6:31
native context like that's why we have Amazon Q developer and AI assistant
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Amazon Q developer and AI assistant
6:35
Amazon Q developer and AI assistant natively trained on AWS best practices.
6:38
natively trained on AWS best practices.
6:38
natively trained on AWS best practices. It does documentation for you. It makes
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It does documentation for you. It makes
6:41
It does documentation for you. It makes architecture for you. Even it creates a
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architecture for you. Even it creates a
6:43
architecture for you. Even it creates a readme file for you. QS isn't about just
6:47
readme file for you. QS isn't about just
6:47
readme file for you. QS isn't about just the code completion like you start
6:49
the code completion like you start
6:49
the code completion like you start writing the code and it will
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writing the code and it will
6:51
writing the code and it will autocomplete. No, it's it's more than
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autocomplete. No, it's it's more than
6:53
autocomplete. No, it's it's more than that. Actually, it's a true teammate. It
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that. Actually, it's a true teammate. It
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that. Actually, it's a true teammate. It generates the reviews, documentation and
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generates the reviews, documentation and
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generates the reviews, documentation and autonomously execute multi-step task.
7:02
autonomously execute multi-step task.
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autonomously execute multi-step task. Even debugging your infrastructure as
7:04
Even debugging your infrastructure as
7:04
Even debugging your infrastructure as code. Suppose you uh have written some
7:07
code. Suppose you uh have written some
7:07
code. Suppose you uh have written some cloud for templates or terapform stacks
7:10
cloud for templates or terapform stacks
7:10
cloud for templates or terapform stacks but you're not sure like if it has some
7:12
but you're not sure like if it has some
7:12
but you're not sure like if it has some error or what you give it to Amazon Q,
7:15
error or what you give it to Amazon Q,
7:15
error or what you give it to Amazon Q, it will debug it for you. Like how cool
7:18
it will debug it for you. Like how cool
7:18
it will debug it for you. Like how cool is that? True.
7:23
So again developers are still have this
7:27
So again developers are still have this
7:27
So again developers are still have this dilemma like how I'll complete the
7:29
dilemma like how I'll complete the
7:29
dilemma like how I'll complete the deadlines. I have a lot of things on my
7:32
deadlines. I have a lot of things on my
7:32
deadlines. I have a lot of things on my plate and I have very limited time.
7:35
plate and I have very limited time.
7:35
plate and I have very limited time. That's where Amazon Q jumps into
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That's where Amazon Q jumps into
7:37
That's where Amazon Q jumps into picture.
7:39
picture.
7:39
picture. So as I already mentioned, Amazon Q is a
7:43
So as I already mentioned, Amazon Q is a
7:43
So as I already mentioned, Amazon Q is a GI powered assistant helping enterprise
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GI powered assistant helping enterprise
7:46
GI powered assistant helping enterprise accelerate the software development life
7:48
accelerate the software development life
7:48
accelerate the software development life cycle and unlock the data insights by
7:51
cycle and unlock the data insights by
7:51
cycle and unlock the data insights by analyzing the internal information. I
7:54
analyzing the internal information. I
7:54
analyzing the internal information. I have already mentioned that AWS has
7:58
have already mentioned that AWS has
7:58
have already mentioned that AWS has predained this foundation model with the
8:00
predained this foundation model with the
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predained this foundation model with the 17 years of data. Q addresses data
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17 years of data. Q addresses data
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17 years of data. Q addresses data security concern by adhering to the
8:05
security concern by adhering to the
8:05
security concern by adhering to the rigorous AWS shared responsibility model
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rigorous AWS shared responsibility model
8:10
rigorous AWS shared responsibility model ensuring a robust security posture
8:13
ensuring a robust security posture
8:13
ensuring a robust security posture throughout committed to the data
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throughout committed to the data
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throughout committed to the data confidentiality. Q safeguard the
8:17
confidentiality. Q safeguard the
8:17
confidentiality. Q safeguard the sensitive business information within
8:20
sensitive business information within
8:20
sensitive business information within its secure environment.
8:24
So these are some of the things which Q
8:27
So these are some of the things which Q
8:27
So these are some of the things which Q does and this is really helpful like
8:30
does and this is really helpful like
8:30
does and this is really helpful like generating the content, writing code,
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generating the content, writing code,
8:33
generating the content, writing code, text, debug, answering your question.
8:36
text, debug, answering your question.
8:36
text, debug, answering your question. Yes, cute does that as well if you ask
8:40
Yes, cute does that as well if you ask
8:40
Yes, cute does that as well if you ask some questions to it. It solved the
8:42
some questions to it. It solved the
8:42
some questions to it. It solved the problem and error. It manages the
8:44
problem and error. It manages the
8:44
problem and error. It manages the resources, make data accessible,
8:47
resources, make data accessible,
8:47
resources, make data accessible, research analysis and whatnot. Few of
8:50
research analysis and whatnot. Few of
8:50
research analysis and whatnot. Few of the things are there on the right side
8:52
the things are there on the right side
8:52
the things are there on the right side as well like build visual, migrate code,
8:55
as well like build visual, migrate code,
8:55
as well like build visual, migrate code, extract insights, build calculations,
8:58
extract insights, build calculations,
8:58
extract insights, build calculations, create data stories, running security
9:01
create data stories, running security
9:01
create data stories, running security scales and troubleshoot and take action.
9:04
scales and troubleshoot and take action.
9:04
scales and troubleshoot and take action. Troubleshooting I am focusing more on
9:06
Troubleshooting I am focusing more on
9:06
Troubleshooting I am focusing more on because that takes a lot of time for any
9:09
because that takes a lot of time for any
9:09
because that takes a lot of time for any developers or engineers.
9:14
So some of the things which Amazon Q
9:16
So some of the things which Amazon Q
9:16
So some of the things which Amazon Q does it it understand the code right
9:19
does it it understand the code right
9:20
does it it understand the code right even if you are giving it the code that
9:23
even if you are giving it the code that
9:23
even if you are giving it the code that you have written and still you're not
9:24
you have written and still you're not
9:24
you have written and still you're not sure like some of the functionalities
9:26
sure like some of the functionalities
9:26
sure like some of the functionalities you want to add it it will understand
9:28
you want to add it it will understand
9:28
you want to add it it will understand your code
9:32
what makes Q remarkable AWS native
9:35
what makes Q remarkable AWS native
9:35
what makes Q remarkable AWS native intelligence conversational coding
9:38
intelligence conversational coding
9:38
intelligence conversational coding inline security and testing works where
9:41
inline security and testing works where
9:41
inline security and testing works where you work like it will work maybe on your
9:44
you work like it will work maybe on your
9:44
you work like it will work maybe on your console on the CLI. It has real impact
9:48
console on the CLI. It has real impact
9:48
console on the CLI. It has real impact as well.
9:50
as well.
9:50
as well. So I was mentioning that Amazon Q is a
9:54
So I was mentioning that Amazon Q is a
9:54
So I was mentioning that Amazon Q is a is like a combined state of the art
9:56
is like a combined state of the art
9:56
is like a combined state of the art generative AI with deep AWS expertise.
10:00
generative AI with deep AWS expertise.
10:00
generative AI with deep AWS expertise. Yes, it does generate code by describing
10:02
Yes, it does generate code by describing
10:02
Yes, it does generate code by describing what you want in plain language.
10:05
what you want in plain language.
10:05
what you want in plain language. It also creates readme file. It's a
10:09
It also creates readme file. It's a
10:09
It also creates readme file. It's a great realtime code completion and
10:11
great realtime code completion and
10:11
great realtime code completion and suggestion. Uh there was one time when I
10:15
suggestion. Uh there was one time when I
10:15
suggestion. Uh there was one time when I was uh facing some vulnerability issues
10:18
was uh facing some vulnerability issues
10:18
was uh facing some vulnerability issues as well and that time when I use Amazon
10:21
as well and that time when I use Amazon
10:21
as well and that time when I use Amazon Q trust me it does fix the
10:23
Q trust me it does fix the
10:23
Q trust me it does fix the vulnerabilities it write the tests and
10:25
vulnerabilities it write the tests and
10:25
vulnerabilities it write the tests and refactor the code as well. So that was
10:28
refactor the code as well. So that was
10:28
refactor the code as well. So that was helpful for me back then. Um
10:32
helpful for me back then. Um
10:32
helpful for me back then. Um there could be some of the Amazon Q
10:36
there could be some of the Amazon Q
10:36
there could be some of the Amazon Q developer like which makes it more
10:38
developer like which makes it more
10:38
developer like which makes it more remarkable like the points which I have
10:40
remarkable like the points which I have
10:40
remarkable like the points which I have already mentioned here the five points.
10:42
already mentioned here the five points.
10:42
already mentioned here the five points. Apart from this like I could see u
10:46
Apart from this like I could see u
10:46
Apart from this like I could see u u we are using a lot of different
10:50
u we are using a lot of different
10:50
u we are using a lot of different consoles like some are using jet brain
10:52
consoles like some are using jet brain
10:52
consoles like some are using jet brain some are using CLI some are using AWS
10:55
some are using CLI some are using AWS
10:55
some are using CLI some are using AWS console and obviously VS code Visual
10:58
console and obviously VS code Visual
10:58
console and obviously VS code Visual Studio. So it will work in all of these
11:03
Studio. So it will work in all of these
11:03
Studio. So it will work in all of these different horizon right. So it will not
11:06
different horizon right. So it will not
11:06
different horizon right. So it will not be an issue for us to be uh stuck in one
11:10
be an issue for us to be uh stuck in one
11:10
be an issue for us to be uh stuck in one box like we have to use Amazon Q over
11:13
box like we have to use Amazon Q over
11:13
box like we have to use Amazon Q over here only.
11:15
here only.
11:15
here only. This is one of the popular game. I'm
11:17
This is one of the popular game. I'm
11:17
This is one of the popular game. I'm sure '90s kid will be having nostalgia
11:20
sure '90s kid will be having nostalgia
11:20
sure '90s kid will be having nostalgia about this snake and eggs that we used
11:22
about this snake and eggs that we used
11:22
about this snake and eggs that we used to play on your on our Nokia phone back
11:25
to play on your on our Nokia phone back
11:25
to play on your on our Nokia phone back then. So this is the game that again I
11:27
then. So this is the game that again I
11:27
then. So this is the game that again I have created using Amazon Q and trust me
11:30
have created using Amazon Q and trust me
11:30
have created using Amazon Q and trust me you don't need to write code endless
11:32
you don't need to write code endless
11:32
you don't need to write code endless codes um you just have to use some of
11:36
codes um you just have to use some of
11:36
codes um you just have to use some of the prompts and you are good to go like
11:40
the prompts and you are good to go like
11:40
the prompts and you are good to go like trust me it is just some prompts away
11:44
trust me it is just some prompts away
11:44
trust me it is just some prompts away like some of the prompts which I have
11:45
like some of the prompts which I have
11:45
like some of the prompts which I have used is over this blog so you can
11:47
used is over this blog so you can
11:47
used is over this blog so you can definitely check it out and also I have
11:50
definitely check it out and also I have
11:50
definitely check it out and also I have placed all of the things like what which
11:52
placed all of the things like what which
11:52
placed all of the things like what which prompts I have been using and what's the
11:55
prompts I have been using and what's the
11:55
prompts I have been using and what's the readme file it generates for me. There
11:57
readme file it generates for me. There
11:57
readme file it generates for me. There could be a lot of variables that has
12:00
could be a lot of variables that has
12:00
could be a lot of variables that has been generated. Like you can simply go
12:03
been generated. Like you can simply go
12:03
been generated. Like you can simply go to my GitHub repository, clone it to
12:05
to my GitHub repository, clone it to
12:05
to my GitHub repository, clone it to your machine and you can start running
12:08
your machine and you can start running
12:08
your machine and you can start running it. It will be running on your machine
12:11
it. It will be running on your machine
12:11
it. It will be running on your machine and it is as simple as that. So some of
12:14
and it is as simple as that. So some of
12:14
and it is as simple as that. So some of the tweaks even I have done because I
12:17
the tweaks even I have done because I
12:17
the tweaks even I have done because I wanted my game to be customized as per
12:19
wanted my game to be customized as per
12:19
wanted my game to be customized as per my liking. So that's what I have done
12:21
my liking. So that's what I have done
12:21
my liking. So that's what I have done over here. So you can check out this um
12:26
over here. So you can check out this um
12:26
over here. So you can check out this um game over your machine and I'm sure you
12:30
game over your machine and I'm sure you
12:30
game over your machine and I'm sure you you have something more to add to it. So
12:32
you have something more to add to it. So
12:32
you have something more to add to it. So you can also do uh you can do some
12:35
you can also do uh you can do some
12:36
you can also do uh you can do some contribution over the GitHub and
12:37
contribution over the GitHub and
12:37
contribution over the GitHub and definitely I think that will be a cherry
12:40
definitely I think that will be a cherry
12:40
definitely I think that will be a cherry on the cake. Um these are some of the
12:44
on the cake. Um these are some of the
12:44
on the cake. Um these are some of the things that I have generated with even
12:46
things that I have generated with even
12:46
things that I have generated with even the start um screen that is also
12:49
the start um screen that is also
12:49
the start um screen that is also generated by Amazon Q. So how cool is
12:52
generated by Amazon Q. So how cool is
12:52
generated by Amazon Q. So how cool is it? Like we do have a lot of chat agents
12:55
it? Like we do have a lot of chat agents
12:55
it? Like we do have a lot of chat agents like chat and other as well. But what
12:59
like chat and other as well. But what
12:59
like chat and other as well. But what Amazon Q is I think that is more than
13:03
Amazon Q is I think that is more than
13:03
Amazon Q is I think that is more than that with the Amazon uh environment and
13:07
that with the Amazon uh environment and
13:07
that with the Amazon uh environment and it gives you flexibility as well like
13:09
it gives you flexibility as well like
13:09
it gives you flexibility as well like how you want to design it. So it is
13:11
how you want to design it. So it is
13:12
how you want to design it. So it is generating image as well and on the top
13:14
generating image as well and on the top
13:14
generating image as well and on the top of it it generates the game. So I really
13:18
of it it generates the game. So I really
13:18
of it it generates the game. So I really like it like uh playing it. So I'll just
13:21
like it like uh playing it. So I'll just
13:22
like it like uh playing it. So I'll just quickly show you a demo of it if I can.
13:24
quickly show you a demo of it if I can.
13:24
quickly show you a demo of it if I can. So this is the first page the entrance
13:27
So this is the first page the entrance
13:27
So this is the first page the entrance page where it has all the instruction
13:29
page where it has all the instruction
13:29
page where it has all the instruction like how to play and all.
13:32
like how to play and all.
13:32
like how to play and all. If you hit tab there will be multiple
13:35
If you hit tab there will be multiple
13:35
If you hit tab there will be multiple instructions as well like kind of eggs I
13:38
instructions as well like kind of eggs I
13:38
instructions as well like kind of eggs I have created and powerups etc. Obviously
13:42
have created and powerups etc. Obviously
13:42
have created and powerups etc. Obviously there is a little alignment issue
13:44
there is a little alignment issue
13:44
there is a little alignment issue because I just created this uh game in
13:46
because I just created this uh game in
13:46
because I just created this uh game in 30 minutes. So obviously there's a scope
13:48
30 minutes. So obviously there's a scope
13:48
30 minutes. So obviously there's a scope of improvement as well. If you want to
13:51
of improvement as well. If you want to
13:51
of improvement as well. If you want to contribute on that you can simply um do
13:53
contribute on that you can simply um do
13:53
contribute on that you can simply um do it over GitHub and we can collaborate at
13:57
it over GitHub and we can collaborate at
13:57
it over GitHub and we can collaborate at there as well. So again there could be
14:00
there as well. So again there could be
14:00
there as well. So again there could be multiple difficulty selection you can
14:03
multiple difficulty selection you can
14:03
multiple difficulty selection you can select and theme as well. So with that
14:06
select and theme as well. So with that
14:06
select and theme as well. So with that I'll just select an easy one
14:08
I'll just select an easy one
14:08
I'll just select an easy one and hit the space. So it will simply
14:12
and hit the space. So it will simply
14:12
and hit the space. So it will simply start. So obviously everyone of us I
14:16
start. So obviously everyone of us I
14:16
start. So obviously everyone of us I don't know if like who and all haven't
14:19
don't know if like who and all haven't
14:19
don't know if like who and all haven't played this game because this is very uh
14:23
played this game because this is very uh
14:23
played this game because this is very uh famous back then. So yeah I just showed
14:26
famous back then. So yeah I just showed
14:26
famous back then. So yeah I just showed you that is not my high score. Okay it
14:29
you that is not my high score. Okay it
14:29
you that is not my high score. Okay it is a little more than that 90 but yeah
14:33
is a little more than that 90 but yeah
14:33
is a little more than that 90 but yeah let's let's focus on the demo which I
14:36
let's let's focus on the demo which I
14:36
let's let's focus on the demo which I showed you. So uh this is great like you
14:40
showed you. So uh this is great like you
14:40
showed you. So uh this is great like you can generate any game anything else like
14:43
can generate any game anything else like
14:43
can generate any game anything else like this is just one of the use case but
14:45
this is just one of the use case but
14:45
this is just one of the use case but also yeah you can write use it to write
14:47
also yeah you can write use it to write
14:47
also yeah you can write use it to write uh code complete it troubleshoot it
14:50
uh code complete it troubleshoot it
14:50
uh code complete it troubleshoot it debug it what else like we already had a
14:53
debug it what else like we already had a
14:53
debug it what else like we already had a good session on Amazon Q so you can
14:56
good session on Amazon Q so you can
14:56
good session on Amazon Q so you can share your version of it like how you
14:59
share your version of it like how you
14:59
share your version of it like how you are utilizing um Amazon Q in your
15:02
are utilizing um Amazon Q in your
15:02
are utilizing um Amazon Q in your day-to-day activity
15:04
day-to-day activity
15:04
day-to-day activity with that I think we are on the end of
15:07
with that I think we are on the end of
15:07
with that I think we are on the end of our session with that. Over to you,
15:11
our session with that. Over to you,
15:11
our session with that. Over to you, Simon.
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