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0:00
stack applications. So you can see this
0:03
is the actual platform right here
0:05
leap.new.
0:07
So if you simply go to the browser
0:09
simply type this address leap.
0:12
So this uh coding platform will come. So
0:15
right in the chat prompt you'll be able
0:17
to build out any sort of application. So
0:20
you can click sign up right here.
0:24
can click on create account
0:27
and uh it's a great alternative to plot
0:31
gemini GPT5 and cursor.
0:35
So this is actually the address lead
0:37
new.
0:44
So you can simply select uh try to login
0:48
with your Google account and
0:51
once it
0:53
login you will be redirected to the
0:55
dashboard area.
1:09
So simply select your account here.
1:15
And once you uh sign up, you will be
1:19
redirected to the dashboard area.
1:28
So right here in the chat prompt I will
1:30
be able to build out any sort of
1:32
applications. So let me just say build a
1:35
image to PDF web app
1:39
in browser. So now I just want to build
1:42
out this application. So if I send out
1:45
this request here automatically
1:47
all-in-one coding AI will open ID open
1:50
something like VS code and cursor where
1:53
it will start writing the code for you.
1:55
So once it completes it will also show
1:57
you the live preview as well. So as you
2:00
can see it is writing all the files for
2:02
you. So it's building out a fullstack uh
2:06
react application in Typescript.
2:09
So it's first of all writing the backend
2:11
code here and then writing the front end
2:14
code and once it completes you will see
2:16
the preview of the application right
2:18
here and it will also deploy your
2:20
application as well. So we also have the
2:21
deploy button as well and if you want to
2:24
ask follow-up questions if you face any
2:26
sort of error you can basically also ask
2:28
the follow-up questions as well.
2:31
So it's using the GPT5 model for
2:34
building out this application and it's
2:37
completely free to try. You simply
2:39
loging in with your Google account. And
2:41
as you can see step by step, it's coding
2:43
out all the files for you.
2:48
So this is your backend folder. Uh this
2:50
is your front end folder which is coded
2:52
in ReactJS.
2:54
It's a full stack application.
2:57
So you can see that. So it's a very
3:00
insane tool here and uh
3:04
it will also perform all the testing for
3:06
you. So now
3:10
after that it will build out the
3:12
project. Here you can see that. So the
3:15
build has been successfully succeeded
3:17
and then it will actually launch this
3:19
application to a unique URL and now your
3:22
application has been successfully
3:24
generated in a matter of seconds. So I
3:27
think it's taken just 1 minute to code
3:30
this entire application. So right right
3:32
now we can test out this application.
3:34
You can select a bunch of images and uh
3:38
then you can click on convert to PDF and
3:42
uh as soon as you do this
3:45
it will make the request to the back end
3:47
for converting the image to PDF.
3:58
So you can see that internal error. If
4:01
this error is taking place, you can
4:03
click on attempt fix. So now the AI will
4:06
try to fix this error message.
4:10
So this is happening at the back end
4:12
site.
4:14
It clearly shows you where the error is
4:16
taking place. So it will try to fix that
4:18
error message
4:22
and automatically restart the
4:24
application as well. So you don't need
4:26
to do anything. You simply tell the AI
4:28
what sort of error message are there and
4:30
click this button at attempt fix and
4:33
automatically this AI platform will fix
4:35
out the errors make the necessary
4:38
modifications and restart the
4:41
application for you.
4:43
So this makes it very much easy for you
4:45
to de develop applications. So if you
4:48
don't have any kind of coding
4:49
experience, you can use this platform.
4:52
And now once again it is building out
4:54
your application and restarting it.
4:58
And it gives you this unique URL and
5:01
deploys your application. So anyone can
5:03
see this.
5:06
So once again you can try out the
5:08
application. Simply select a bunch of
5:10
images and
5:13
click on convert to PDF. And
5:16
this is the log section that you can see
5:19
right here.
5:29
Uh again it is having some kind of an
5:32
error right here. Again you click on
5:35
attempt fix.
5:57
So now again it is fixing out the
5:59
application for you.
6:02
So there is no amount of uh
6:06
messages you can say. You can ask
6:09
unlimited messages if you are facing
6:11
errors. So it will automatically fix
6:14
those error messages until the
6:15
application is fully workable. So it
6:18
will fix out those error message for
6:20
you.
6:22
So the thing about the that I like about
6:25
this platform is really quick here. As
6:27
you can see, it's
6:29
building the application in a very quick
6:31
manner. Most of the AI platforms take a
6:33
lot of time, but this is really quick.
6:36
So, this is a platform leave new. And
6:38
again, we can try out the application.
6:45
Click on convert to PDF. And here you
6:48
can see the log section.
7:17
So you can even connect your database as
7:20
well. There is this option. You can also
7:23
connect to your GitHub repo as well. Uh
7:25
then we also have the option to deploy
7:27
this application as well. So all these
7:30
things are there.
7:33
So it's an insane kind of a platform.
7:35
Definitely check out. So now it is
7:37
actually making the necessary
7:38
modifications.
7:41
You can also edit your code right here
7:43
as well. This is a complete
7:47
editor.
7:58
So typically don't make too much
8:00
mistakes just related to the application
8:02
image to PDF. Some applications can
8:04
create some problems. Now it is also
8:07
having this progress bar as well. As you
8:09
can see the progress bar
8:12
it is uploading these images for you.
8:14
And uh
8:20
I think it's related to the actual
8:22
library which it is using. It's not some
8:24
applications can create some problems.
8:27
So you can simply send out this.
8:34
So the error indicates that the JPG file
8:38
is corrupted or incomplete when it's
8:40
being downloaded from the object
8:42
storage.
8:48
But typically this AI personally I've
8:51
used it to build applications. It
8:52
doesn't make so much mistakes. It's just
8:54
related to the application image to PDF.
8:56
Some applications can create some
8:58
problems related to which libraries that
9:02
they are using. So most of the time if
9:04
you develop applications it will not
9:06
make so much errors.
9:13
So if you're building a complex
9:15
application then the chances of AI
9:17
making the error is slightly higher. So
9:21
depending upon which kind of application
9:22
you want to develop
9:26
AI can also make errors as well. So you
9:29
just need to click on attempt to fix and
9:32
it will automatically fix out
9:43
So you can even toggle out which model
9:46
you want to use. So it's using the GPT5
9:48
model which can make mistakes. I have
9:50
personally tried if you use claude GP
9:53
cloud sonet model then it will not make
9:56
mistake. So they are using this openai
9:58
GPT5 model experimental. So that's why
10:01
it is making these mistakes. And let me
10:04
show you the deploy option. So now if
10:06
you're happy you can basically deploy
10:08
this application you can connect it to a
10:12
custom domain as well or you can connect
10:14
it to Amazon web services Google cloud
10:16
platform as well. So there is this
10:19
option also available. So definitely
10:21
check out this platform leap new
10:25
and thank you very much for watching
10:27
this live stream.
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