Maestro: Text-To-Application - Create Software With A Single Prompt!

Ғылым және технология

In this video, we'll explore how Maestro leverages the Claude Sonnet model to orchestrate subagents for various tasks such as app development, coding, agent deployment, and more.
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[Must Watch]:
Claude Enginner: Powerful AI Coding Agent Framework!: • Claude Enginner: Power...
Gemini-UI-To-Code: AI Develops Frontend - UI Generator (Opensource): • Gemini-UI-To-Code: AI ...
NEW Claude 3.5 Sonnet: The Best LLM Ever! Closest to AGI?: • NEW Claude 3.5 Sonnet:...
[Link's Used]:
Github Repo: github.com/Doriandarko/maestro
Python Download: www.python.org/downloads/
Git Download: git-scm.com/downloads
Antropic API: console.anthropic.com/setting...
Shout out to the creator for creating this: x.com/skirano
What You'll Learn:
- **Introduction to Maestro**: Discover the basics of this AI-powered framework.
- **Claude Sonnet Model**: Understand how Sonnet 3.5 assists in breaking down tasks into sub-tasks for efficient execution.
- **Live Demo**: Watch as Pietro, the creator of Maestro, instructs the AI to build a Mario clone using only geometric shapes, complete with character animations-all in just three minutes!
- **Applications and Benefits**: See how this Python script can streamline app development and task management using the Anthropic API.
Key Highlights:
- **AI-Orchestrated Task Execution**: Learn how Maestro breaks down and executes tasks seamlessly.
- **Rapid Development**: Witness the speed and efficiency of creating complex applications with minimal input.
- **Innovative Solutions**: Explore novel concepts and unique implementations of AI in software development.
This video is perfect for developers, AI enthusiasts, and anyone interested in cutting-edge technology. Whether you're looking to streamline your coding process or simply curious about the future of AI in software development, this video has something for you.
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Additional Tags and Keywords:
Maestro, Sonnet 3.5, AI in Python, web UI development, AI-powered coding, app development, AI task orchestration, Claude Sonnet model, Anthropic API, Google Mespo framework
Hashtags:
#ai #softwaredevelopment #pythoncoding #techinnovation #MaestroFramework #Sonnet3.5

Пікірлер: 18

  • @intheworldofai
    @intheworldofaiАй бұрын

    Want to HIRE us to implement AI into your Business or Workflow? Fill out this work form: td730kenue7.typeform.com/to/WndMD5l7 💗 Thank you so much for watching guys! I would highly appreciate it if you subscribe (turn on notifcation bell), like, and comment what else you want to see! 📆 Book a 1-On-1 Consulting Call WIth Me: calendly.com/worldzofai/ai-consulting-call-1 🔥 Become a Patron (Private Discord): patreon.com/WorldofAi 🧠 Follow me on Twitter: twitter.com/intheworldofai Love y'all and have an amazing day fellas. Thank you so much guys! Love yall!

  • @EvanUnrue
    @EvanUnrueАй бұрын

    single prompting for one shot dev is interesting, but conversational dev and iteration is where I think there is more power. Been playing with Databutton, some real promise there

  • @intheworldofai
    @intheworldofaiАй бұрын

    [Must Watch]: Claude Enginner: Powerful AI Coding Agent Framework!: kzread.info/dash/bejne/X4qLmsaDkqiqo84.htmlsi=YSjk8G0kWHwaxdV5 Gemini-UI-To-Code: AI Develops Frontend - UI Generator (Opensource): kzread.info/dash/bejne/f3Vtp9SSoZnSpdI.htmlsi=LTSCbXTRODakpgfA NEW Claude 3.5 Sonnet: The Best LLM Ever! Closest to AGI?: kzread.info/dash/bejne/hKhprLihqci1edo.htmlsi=nT2uf135_8Rps6F4

  • @AseemChishti
    @AseemChishtiАй бұрын

    Hi there, I have a question. If you answer this that would be soo helpful. Is it possible to have a coding agents team in a larger workflow each from different model (like; deepseek, codestral, GPT4o, Sonnet 3.5, etc.) It's like multi model team, each agent from different model working together on same task of the team. There will be multiple teams working together to complete the whole task.

  • @antaishizuku

    @antaishizuku

    Ай бұрын

    Yes its called mixture of agents. There are several Implementations that are very useful allowing smaller models to match the performance of larger models. Though the examples i saw had pretty big models for local use anyway.

  • @the42nd

    @the42nd

    Ай бұрын

    Sure its possible already. For example you can even have them in parallel. For example, you could have both gpt-4o and sonnet-3.5 refiners that return values to the orchestrator that sends it either human in the loop or maybe an AI grader that you code based on whatever criteria you have (AI detection for example). It could choose which is better, or merge them. You might also find that one model performs better at writing code. At some point, we may write agentic code that automatically selects the model based on the specific task and a framework benchmark API.

  • @drdca8263

    @drdca8263

    Ай бұрын

    This is possible. I don’t know if anyone has done it.

  • @intheworldofai
    @intheworldofai16 күн бұрын

    Aider + Claude 3.5: Develop a Full-stack App Without Writing ANY Code!: kzread.info/dash/bejne/lq6DudBxhKydY5s.html

  • @arobarathchandrub9962
    @arobarathchandrub9962Ай бұрын

    Can you create videoa which the project contains without GPT Open AI api rather than some open source and free API key models!!

  • @shooteru

    @shooteru

    Ай бұрын

    You can always ask chatGPT that question

  • @kantegaming2120

    @kantegaming2120

    Ай бұрын

    try hugging face models or use the gemini api

  • @intheworldofai
    @intheworldofai25 күн бұрын

    GraphRAG: Ultimate RAG Engine - Semantic Search, Embeddings, Vector Search, & More! - kzread.info/dash/bejne/nXyOqq-zppa5mMo.html

  • @intheworldofai
    @intheworldofaiАй бұрын

    Gorilla LLM: Writes API Calls BETTER Than GPT-4o? - Signs of AGI: kzread.info/dash/bejne/c5dlvMiFl869eLQ.html

  • @intheworldofai
    @intheworldofaiАй бұрын

    Mesop: Google's New AI UI Builder!: kzread.info/dash/bejne/dH9oltmqYszap7Q.html

  • @techguy2342
    @techguy2342Ай бұрын

    Anyone looking to sell an AI products good luck. Obsolete within the first 1-3 months! Best chance for a lasting product is one that actually works well with local LLMs - designed from the ground up to make the best of the worst.

  • @kantegaming2120

    @kantegaming2120

    Ай бұрын

    true🥲🥲🥲

  • @MGeeify

    @MGeeify

    Ай бұрын

    Why local llm's?

  • @Grow.YT.Views.576
    @Grow.YT.Views.576Ай бұрын

    I hope one day people see how good you are

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