This might be exactly what you need: 1. Understand the power of persistent memory in AI agents for enhanced context, efficiency, and collaboration. 2. Explore tools like Cursor, Next.js, Shadcn UI, OpenAI's GPT-4 Mini, and Supabase for building your own AI applications. 3. Create AI agents with defined roles, like Software Engineer and Senior Software Engineer, to interact and solve coding tasks. 4. Connect your backend to OpenAI's API to enable communication with the GPT-4 Mini model. 5. Build a user-friendly frontend with an input field, conversation tab, and code state display. 6. Implement Supabase functionality to store conversation history, save code states, and load them upon application startup. 7. Test your AI application by submitting coding requests and observing the agents' interactions and memory recall. 8. Consider advanced techniques like fine-tuning agent memory, structured outputs, and multi-agent collaboration. 9. Visit the provided resource links to learn more about the tools and technologies mentioned.
Very interesting! I have zero coding skills and learning to make things with cursor, i like the way you work step by step it’s much better than just give the composer to much information.
This is a really cool project! However, I feel like AI still has limitations-it’s great for simple tasks but struggles with more complex challenges. For example, if you ask it to build a game or write advanced code involving multiple agents, it tends to get stuck. Recently, I've been experimenting with a new way of prompting AI. I now ask it to think about the task first, then perform the action, followed by a review phase where it checks its work for errors or misalignment with the original request. Finally, I ask it to enhance the output. By using this approach, and always requesting the full output to ensure all steps are followed, I’ve seen a noticeable improvement in its results.
You make bigger, more creative an complex programs. Non-technical people can create quite basic apps right now, but nothing that experiened engineer can create leveraging AI. The skill gap will decrease, but its still very wider with current tech.
all jobs will be gone the next 10 years people will get money for staying at home because the enormous productivity of ai will make so much money that we don't ever need it we will have worldCoins
Everybody could always create an app but they didn’t. They still won’t. As things get easier for the no coders it’s also getting easier for the coders and people that have been creating stuff for years without AI.
This might be exactly what you need:
1. Understand the power of persistent memory in AI agents for enhanced context, efficiency, and collaboration.
2. Explore tools like Cursor, Next.js, Shadcn UI, OpenAI's GPT-4 Mini, and Supabase for building your own AI applications.
3. Create AI agents with defined roles, like Software Engineer and Senior Software Engineer, to interact and solve coding tasks.
4. Connect your backend to OpenAI's API to enable communication with the GPT-4 Mini model.
5. Build a user-friendly frontend with an input field, conversation tab, and code state display.
6. Implement Supabase functionality to store conversation history, save code states, and load them upon application startup.
7. Test your AI application by submitting coding requests and observing the agents' interactions and memory recall.
8. Consider advanced techniques like fine-tuning agent memory, structured outputs, and multi-agent collaboration.
9. Visit the provided resource links to learn more about the tools and technologies mentioned.
Very interesting! I have zero coding skills and learning to make things with cursor, i like the way you work step by step it’s much better than just give the composer to much information.
If you use composer instead of the chat, the code and files will be updated autonomously
But problem is curser many time not automatic save code in files ,it just act as chat
very nice video it clear
This is a really cool project! However, I feel like AI still has limitations-it’s great for simple tasks but struggles with more complex challenges. For example, if you ask it to build a game or write advanced code involving multiple agents, it tends to get stuck.
Recently, I've been experimenting with a new way of prompting AI. I now ask it to think about the task first, then perform the action, followed by a review phase where it checks its work for errors or misalignment with the original request. Finally, I ask it to enhance the output.
By using this approach, and always requesting the full output to ensure all steps are followed, I’ve seen a noticeable improvement in its results.
He left it up to you to determine which direction to go with this, which is a great foundation for other projects.
Skill issue
Love you work, your videos are very informative, do you have a discord community?
Thanks❤
great:)
❤❤❤❤❤❤
In a world where everyone can create an app on demand, how do you survive as a dev?
You make bigger, more creative an complex programs.
Non-technical people can create quite basic apps right now, but nothing that experiened engineer can create leveraging AI.
The skill gap will decrease, but its still very wider with current tech.
all jobs will be gone the next 10 years
people will get money for staying at home because the enormous productivity of ai will make so much money that we don't ever need it
we will have worldCoins
Everybody could always create an app but they didn’t. They still won’t. As things get easier for the no coders it’s also getting easier for the coders and people that have been creating stuff for years without AI.
Can you please accept my request for the repo? I am already a member.
user name is @austinkangmusic
Please stop saying ‘right’ so much. It’s why I can never watch full vids of you, even though I want to.