In this video, I'll be telling you that how you Generate Applications with Local AI Model Agents. This way you can do Text To Applications for free and locally. In this video, I'll be using Maestro combined with Qwen2 and DeepSeek Coder model via Ollama. This way you can outperform Claude3.5 sonnet while being free. We'll make agents and subagents with these models and we'll be generating Games, Websites, Applications and much more in this video and figuring out which model configuration works best for local usage. You can also do TextToFrontend, TextToApplication and other things with this. This Maestro tool can also be used with any opensource LLM, OpenAI models or the other Claude models such as GPT4O, Claude3, CodeQwen, Mixtral 8x22b, Mixtral 8x7b, GPT4, Grok1.5 & Gemini Code Assist.



Resources:

Maestro Github Repo : https://github.com/Doriandarko/maestro



Key Takeaways:

Revolutionary AI Creation: Discover how Maestro with Claude3.5 Sonnet allows you to create apps like Desktop Apps, Web Apps, and Games with a single text prompt, using innovative AI Agents technology.

AgentBased Framework: Learn about the powerful agentbased framework where the Orchestrator LLM breaks down tasks, SubAgent LLMs handle execution, and the Refiner LLM ensures quality, providing seamless AI development.

CostEffective Local LLMs: Explore the benefits of using local LLMs like DeepSeek Coder and Qwen, reducing API costs while maintaining high performance with the Maestro framework's flexibility.

⚙ StepbyStep Configuration: Follow our detailed guide to configure and install Ollama models, DeepSeek Coder V2, and Qwen2 72B, ensuring you set up your AI environment correctly and efficiently.

Creating a Snake Game: Watch as we demonstrate creating a Snake game using HTML, CSS, and JS, comparing results between Claude and local models, showcasing the potential of different AI configurations.

High Customizability: Understand the extensive customizability of the Maestro framework, allowing you to mix and match models from Anthropic, Gemini, and OpenAI to tailor your AI projects to specific needs.

Viewer Engagement: Engage with our content by sharing your thoughts in the comments, liking the video, subscribing to the channel, and using the Super Thanks option to support further innovative AI content creation.




Timestamps:

00:00 Introduction
00:12 About Maestro (TexttoApplication with Agents)
00:30 About Agents
01:04 Using it with Local LLMs
01:40 Installation
03:40 Using just the DeepSeekCoderV2 model leads to FAILURE
04:33 Replacing DeepSeekCoderV2 with Qwen2 as Orchestrator
05:36 Insane Results Outperforming Claude3.5Sonnet
07:53 Conclusion