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Revolutionize App Development with Open-Source AI Agent for Building FULL STACK Apps

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English
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Discover how the free alternative 'Devin' can help you create sophisticated full stack applications in a fraction of the time, with improved functionality and ease of use. Learn how this open-source AI agent by Pythagra (formerly GPT pilot) can revolutionize your app development process.
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Video Summary & Chapters

0:00
1. Building a Full Stack Application 🛠️
Introduction to using AI to create full stack apps
0:38
2. Installing GPT Pilot Command Line Interface ⚙️
Step-by-step guide on installing GPT Pilot CLI
2:06
3. Configuring Environment and API Keys 🔑
Setting up environment file and API keys for OpenAI
4:20
4. Initializing Database and Running the App 💻
Database initialization and starting the application
5:32
5. Setting Up the Project 🛠️
Setting up the framework and project details.
6:03
6. App Description & Features 💬
Defining the real-time chat app features and user interactions.
6:44
7. Refining Project Ideas 🔄
Discussing user accounts and chat session settings.
7:18
8. Moderation & Spam Control 🚫
Implementing message flagging and spam prevention measures.
7:38
9. User Interaction & Limits ⏰
Setting message limits and emoji usage in the chat app.
8:22
10. Collaboration with AI 🤖
Exploring AI's role in app development and iteration.
9:07
11. VS Code Plugin & GPT Integration 💻
Integrating GPT-4 tokens and Pythagra into VS Code for coding.
9:42
12. Demo: Full Stack Chat App 📱
Demonstrating a full stack chat application and its functionalities.
10:10
13. Verification and Login 📧
Email verification and successful login process.
10:20
14. Exploring Chat Interface 💬
Overview of the chat rooms and basic interactions.
10:50
15. Enhancing Chat Features 🛠️
Adding new functionalities to the chat application.
11:50
16. Cost and Efficiency 💸
Discussion on cost efficiency in building applications.
12:38
17. Implementing Dashboard Changes 🖥️
Guided implementation of dashboard updates.
13:18
18. Code Development Process 🤖
Step-by-step coding process with AI agents.
13:33
19. Human Testing and Debugging 🧪
Testing and debugging process with user interaction.
14:25
20. Debugging Avatar Image Issue 🖼️
Troubleshooting avatar image display problem.
14:51
21. AI-Powered Debugging Assistance 🛠️
Utilizing AI for debugging and issue resolution.
15:27
22. Troubleshooting Avatar Display
Identifying and resolving issues with avatar display.
17:24
23. Fixing Image Display Issue
Implementing a fix for the image display problem.
18:31
24. Integrating Sound Notifications
Adding sound notifications for chat messages.
19:14
25. Testing Sound Implementation
Verifying the functionality of the sound notifications.
20:20
26. Seamless Functionality Addition
Adding new features with AI assistance in existing apps.
20:59
27. Closing Thoughts 🌟
Final words and call to action for viewers.
21:02
28. See You Soon 👋
Encouragement to subscribe for future content.

Video Transcript

0:00
Let's build an entire full stack application using AI.
0:05
A few months ago, I made a video about GPT pilot
0:07
and now they have a ton of additional functionality
0:10
that I'm really excited to show you.
0:12
Not only can you build full stack applications,
0:15
sophisticated applications, apps that would take weeks
0:19
or even months to build,
0:21
but now the interface is much easier.
0:24
The agents work much better
0:25
and you can actually add features to your application.
0:29
And the best part is completely open source and free.
0:32
And thanks to Pythagra for sponsoring this video.
0:35
Pythagra just changed their name from GPT pilot.
0:38
So the first thing I'm gonna show you is how to install it.
0:40
And we're gonna install GPT pilot,
0:42
the command line interface version.
0:44
This is the completely open source version.
0:46
You can use GPT-4, you can use cloud,
0:49
you can use any open source model that you want,
0:51
including running it locally.
0:53
But for today, we're gonna be using GPT-4.
0:55
And then after that, I'm gonna show you the VS Code plugin,
0:57
which is now Pythagora.
0:59
Okay, enough talk.
1:00
Let me show you how to install it.
1:02
First navigate to a folder that you want everything created in.
1:06
So I have this one at AI Projects.
1:08
Then what we're gonna do is clone the repo.
1:10
So get clone and then the repository URL
1:13
and of course I will drop this in the description below
1:16
and then hit enter to clone the repo.
1:19
Then you're gonna CD change directory into GPC pilot like so.
1:23
And today we're gonna be using VNV to manage our Python environment.
1:26
environment. I know I usually use conda conda is great as well, but today we'll be using vn. So Python dash m vn
1:35
pilot nv next we're gonna do source pilot dash nv so the environment name we just created slash bin slash
1:44
Activate and that's gonna activate our environment then you'll know it's active because it'll say so right there in
1:51
parentheses. Now if you're on Windows it's slightly different and this is what
1:55
you're gonna type instead. Pilot-n-v-slash scripts-slash-activate and I'm on a
2:02
Mac so I don't have to do that but if you're on Windows that's what you do. Next
2:06
we're gonna install all of the requirements very simple as usual pip-install-r
2:12
requirements.txt. Hit enter and it's done. Next we're gonna CD into the
2:20
pilot directory within GPT-pilot. So go ahead and do CD pilot and then hit enter.
2:26
Now we're going to take the example environment file and rename it to just .m and that is going
2:31
to be our environment file. So mv.mv.example.space.mv hit enter and that should be done.
2:39
Now open up VS code and make sure you open the folder GPT-pilot. Within that there's going to be
2:45
a pilot folder. Click that and then you're going to click the .m file right there.
2:52
And this is where you're going to enter all your environment information. Now this
2:55
is also where you get to choose which large language model you use and
2:59
provided by which service. So if you wanted to use OpenAI which we'll be doing
3:04
today, you're going to enter your API key and your endpoint right here and I'm
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