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0:02
Uh hello guys, in this uh live stream I
0:04
will show you a free AI agent IDE which
0:07
is completely open source and totally
0:10
free as opposed to other AI platforms
0:12
which are completely paid. So this
0:15
platform I'm using it for past 2 years
0:17
and I haven't received any subscription
0:19
based notice. So this is called as llama
0:22
coder
0:25
together AI. So if you simply write on
0:27
Google the very first website which
0:29
comes this is the website that I'm
0:31
talking about llama coder AI code
0:34
generator. So this is specifically good
0:38
for software developers if you they want
0:40
a full stack coding application ready.
0:43
So once you land on this as you see it's
0:45
completely free and open source. It's
0:47
also available on GitHub as well. If you
0:50
see this is their open-source cloud
0:52
artifacts built with lava.
0:55
It's kind of cloud code Gemini where you
0:59
simply write the prompt whatever
1:01
application you want to generate. It can
1:03
be a landing page. It can be a fullstack
1:05
coding application.
1:07
So it also giving you suggestions as
1:09
well from here.
1:11
Let's suppose I want to print out a
1:13
calculator. Automatically as I click
1:17
this automatically the prompt will be
1:19
written.
1:21
So here you can see the quality here
1:23
faster high quality slower you can even
1:26
attach the images as well. So different
1:29
AI providers are there.
1:32
So by default the best model is selected
1:35
and as soon as you send out the request
1:38
automatically the AI will start
1:40
preparing the application for you.
1:44
So
1:55
it has its own AI code editor where it
1:59
actually writes all the files step by
2:02
step. So as you see that
2:05
it is writing all the files step by
2:08
step.
2:10
So once it completes the live preview of
2:12
the application would be shown and you
2:15
also be able to download the code as
2:17
well. These are all the buttons
2:18
available. So it has all the features
2:22
but at the same time it's completely
2:24
free opensource. You can create
2:26
unlimited number of fullstack coding
2:29
applications using this AI platform. And
2:32
the thing is that it's pretty fast as
2:34
well. Some AI platforms are really slow.
2:37
They take a lot of time to just generate
2:41
just a little bit of code. But this
2:44
platform is really fast. As you can see
2:46
here, all the files are really fastly
2:49
generated.
3:21
So once it completes here you will see
3:23
generated all the files. So it will now
3:25
compile the application everything and
3:28
start the application and show you the
3:30
live preview. So side by side you will
3:34
see the live preview of the application
3:36
as well being made here. It is actually
3:38
just a simple calculator scientific
3:40
calculator. But uh in this easy way you
3:43
just write the application name and
3:45
automatically in a matter of seconds it
3:47
will create a full stack
3:51
application for you. It will also
3:53
maintain the history as well. As you
3:55
see,
4:04
click the download button and all the
4:07
zip file of the source code will be
4:09
downloaded so that you can actually save
4:12
this source code which is being
4:13
generated. So it has all the features
4:15
guys. Definitely check this out. It is
4:18
not limited to just scientific
4:19
calculator. You can actually build out
4:21
any sort of complex application. Let's
4:24
suppose I say build a
4:30
uh
4:32
complex
4:35
EDF editor.
4:42
It the application can be anything.
4:46
It is just not limited to scientific
4:48
calculator. we have told is to build a
4:51
complex PDF editor. So once again
4:58
so there is no limitation out there that
5:00
you just need only x amount of prompts
5:03
after that you need to pay. This is a
5:05
complete open-source website. It doesn't
5:08
work like that. It has
5:12
no no restriction. You can build up to
5:15
as much applications as you want to. So
5:18
definitely check this platform out.
5:20
Llama coder together. It's a free AI
5:24
agent ID completely free. It's available
5:28
on GitHub as well. So
5:36
you can read more about it there inside
5:38
the
5:40
GitHub repo.
5:42
So definitely
5:44
check this out.
