Micro-Agent: New Multi-Agent Framework That Automatically Writes and Fixes Code!

WorldofAI
9 Jul 202410:14

TLDRMicro-Agent is an innovative multi-agent framework that automates code writing and debugging. It generates test cases, iterates on code until all tests pass, and ensures high-quality output. This tool stands out from typical AI code generators by focusing on AI-specific tasks and providing clear feedback through tests. The framework is user-friendly, requiring only Node.js, mpm, Python, and an LLM API key for setup. It integrates seamlessly with visual tools like Builder IO's Visual Copilot, making it a powerful solution for developers looking to streamline their coding process.

Takeaways

  • 😎 Micro-Agent is a new multi-agent framework designed to write and fix code automatically.
  • 🔧 It uses AI to generate and iterate on code until all tests pass, improving upon the common issue of AI-generated code being unreliable.
  • 🧩 The framework is especially useful for dealing with compounding errors that often arise in coding, providing clear feedback on whether the code works as intended.
  • 📝 Micro-Agent begins by creating a definitive test based on a natural language description of what the user wants to achieve.
  • 🔄 It focuses on iterating on the code, automatically making adjustments and rerunning tests until they pass, ensuring code quality and functionality.
  • 💻 A demo video showcases the framework's capability to generate and debug code for tasks such as converting markdown to HTML.
  • 🌐 Micro-Agent can integrate with tools like Visual Copilot by Builder IO, which uses AI to convert designs into production-ready code.
  • 🛠️ To get started with Micro-Agent, users need Node.js version 14 or later, mpm, Python, and a functional LLM API key, with recommendations provided for setup.
  • 🔑 Users are guided on how to install the Micro-Agent framework globally, set their API key, and start using the framework to generate or fix code.
  • 🔍 The script highlights the differentiation between typical AI code generation tools and Micro-Agent, emphasizing the latter's focus on reliability and iterative improvement.
  • 📈 The introduction of World of AI Solutions is mentioned, a team offering AI solutions for businesses and personal use cases, with a link provided for interested users.

Q & A

  • What is the main purpose of the Micro-Agent framework?

    -The main purpose of the Micro-Agent framework is to enable AI agents to write and fix code automatically, focusing on code generation, debugging, and iteration until all tests pass.

  • Why might AI-generated code need multiple iterations to work correctly?

    -AI-generated code might need multiple iterations because large language models can produce broken code, with bugs, edge cases, or references to non-existent APIs that require fixing to work as expected.

  • What is the advantage of using Micro-Agent over general-purpose coding agents?

    -Micro-Agent provides a more reliable and focused approach to code generation by creating definitive tests and offering clear feedback on whether the code works as intended, thus avoiding the common issues of general-purpose agents going haywire with compounding errors.

  • Can you provide an example of a task that Micro-Agent can perform?

    -An example task that Micro-Agent can perform is converting a markdown to a single line of HTML, iterating on the code until all tests pass within a development environment like VS Code.

  • What is the World of AI Solutions, and how does it relate to the Micro-Agent framework?

    -World of AI Solutions is a team of software engineers, machine learning experts, and AI consultants that provide AI solutions for businesses and personal use cases. It is related to the Micro-Agent framework as it showcases the capabilities of AI in automating tasks and improving business operations.

  • How does Micro-Agent differentiate itself from typical AI tools like GPT?

    -Micro-Agent differentiates itself by focusing on specific AI tasks, providing clear feedback through tests, and ensuring that the generated code meets requirements through an automated debugging process, unlike typical AI tools that may generate unreliable code.

  • What are the steps involved in the Micro-Agent's code generation and testing process?

    -The steps include: 1) Describing the function with a natural language description, 2) AI generating tests with inputs and outputs based on the description, 3) AI writing the code in languages like JavaScript, TypeScript, or Python to pass the tests, 4) Automatic iteration and editing of the code if tests fail, and 5) Completing the task once the code passes all tests.

  • Can you integrate Micro-Agent with other tools for UI development?

    -Yes, Micro-Agent can be integrated with tools like Visual Copa, which can convert designs from Figma into production-ready code with AI-powered code generation, reusing existing components and utilizing the continuous iteration process of Micro-Agent.

  • What are the prerequisites for getting started with the Micro-Agent framework?

    -To get started with Micro-Agent, you need to have Node.js version 14 or later, mpm installed, Python, and a functional LLM API key, such as the CLA anthropic sonid 3.5 model or gp4 omy.

  • How can one install and set up the Micro-Agent framework for use?

    -To install and set up the Micro-Agent framework, you need to install it globally on your computer using a specific command in the command prompt, set your API key using the provided commands for your operating system, and then start the framework by typing in the appropriate command.

Outlines

00:00

🤖 Introduction to Micro Agent Framework

The video introduces a new coding framework called Micro Agent, designed to assist AI agents in writing, fixing, and iterating code automatically. Large language models are acknowledged for generating broken code, which requires multiple iterations to fix. Micro Agent aims to streamline this process by creating definitive tests and providing clear feedback on whether the code works as intended. The framework is showcased in a demo video, demonstrating its ability to generate and repair code, and is positioned as a solution to the unreliability of general-purpose coding agents. The video also introduces 'World of AI Solutions,' a team offering AI solutions for businesses and personal use cases, with a call to action to check out the Patreon page for new subscriptions and a consultant call option.

05:01

🔧 Micro Agent's Automated Code Generation and Debugging Process

This paragraph delves into how Micro Agent focuses on specific AI tasks, providing clear feedback through tests. It describes the process of giving a natural language description to the agent, which then generates unit tests and writes the code in languages like JavaScript, TypeScript, or Python. The agent continues to edit and rerun tests until the code passes, ensuring the code meets requirements and improves its quality by automating the debugging process. A 30-second demo is mentioned, showing the agent generating tests and code for a TypeScript function that groups anagrams. The paragraph also touches on integrating Micro Agent with a visual copot from Builder IO, which converts Figma designs into production-ready code, and provides instructions on how to get started with the framework, including the installation process and setting up an API key.

10:02

📘 Final Thoughts and Call to Action

The final paragraph wraps up the video with a summary of the content covered, emphasizing the usefulness of the Micro Agent framework due to its automatic iteration process. It provides a brief guide on the prerequisites for using the framework, such as having Node.js version 14 or later, mpm, Python, and an LLM API key. The video concludes with a call to action, encouraging viewers to try out the Micro Agent framework, follow the presenter on Twitter for updates, check out the Patreon page for free AI subscriptions, and subscribe to the channel for more informative content.

Mindmap

Keywords

💡Micro-Agent

Micro-Agent is a new multi-agent framework introduced in the video that automates the process of writing and fixing code. It is designed to leverage the capabilities of AI to not only generate code based on prompts but also to iterate on the code until all tests pass, ensuring functionality and reliability. This is a significant advancement over traditional AI coding tools, which often produce code that requires manual debugging. The framework is highlighted as a solution to the common issue of AI-generated code that doesn't work as expected right away.

💡AI agents

AI agents, in the context of this video, refer to artificial intelligence systems that perform tasks autonomously. In the case of the Micro-Agent framework, AI agents are specialized to write, debug, and fix code. They are portrayed as an improvement over general-purpose coding agents, which may not always deliver as promised due to their tendency to produce errors in complex scenarios.

💡Code generation

Code generation is the process of creating source code automatically. In the video, it is mentioned that large language models are good at generating code but often produce broken code that requires multiple iterations to correct. Micro-Agent aims to streamline this process by using AI to generate and iteratively improve the code until it works as intended.

💡Iterative process

The iterative process in software development refers to the cycle of making changes, testing, and refining the code until it meets the desired specifications. The video emphasizes Micro-Agent's ability to automate this process, continuously improving the code through testing and reiteration until all test cases are passed.

💡Test cases

Test cases are specific scenarios that are created to test the functionality of a piece of code. In the video, Micro-Agent is described as focusing on creating definitive test cases and providing clear feedback on whether the code works as intended. This is crucial for ensuring the reliability of the code generated by the AI.

💡Debugging

Debugging is the process of finding and resolving bugs or errors in code. The video script discusses the time-consuming nature of manual debugging and positions Micro-Agent as a tool that automates this process, improving the overall quality of the code by continuously testing and fixing it.

💡Language models

Language models are AI systems trained to understand and generate human-like text. In the context of the video, large language models are mentioned as being capable of generating code but often resulting in code that doesn't work correctly. Micro-Agent is presented as a solution to this problem, using AI in a more targeted and iterative way.

💡Open-source tool

An open-source tool is a software whose source code is made available to the public, allowing anyone to view, use, modify, and distribute it. The video introduces Micro-Agent as an open-source tool, which suggests that it can be freely used, modified, and improved by the community.

💡API key

An API key is a unique code passed in by computer programs calling an API, or Application Programming Interface. In the video, setting up an API key is mentioned as a necessary step for using the Micro-Agent framework, indicating that it interacts with external services or databases that require authentication.

💡Integration

Integration in software development refers to the process of combining different software components or systems into a single, functional unit. The video mentions the possibility of integrating Micro-Agent with other tools, such as a visual copot that can convert designs into production-ready code, showcasing the framework's flexibility and potential for enhancing development workflows.

💡AI Solutions

AI Solutions, as mentioned in the video, refers to the application of artificial intelligence technologies to solve problems or improve processes in various domains. The speaker introduces a team of experts providing AI solutions for businesses and personal use cases, indicating a broader context in which Micro-Agent could be utilized.

Highlights

Introduction of Micro-Agent, a new multi-agent framework that enables AI to write and fix code automatically.

Micro-Agent uses a command prompt to generate tests and iterate on code until all tests pass.

Large language models often produce broken code, requiring multiple iterations to work correctly.

Micro-Agent addresses the unreliability of general-purpose coding agents by focusing on definitive testing and clear feedback.

Demonstration of Micro-Agent's ability to write and repair code for converting markdown to HTML.

Micro-Agent's focus on iterating code until all test cases are passed, improving code quality.

Introduction of World of AI Solutions, a team providing AI solutions for businesses and personal use cases.

Differentiating Micro-Agent from typical AI tools like GPT, which often produce incorrect code initially.

Micro-Agent is an open-source tool designed to reduce problems with unreliable code generation.

Micro-Agent generates tests and code, ensuring functionality through continuous iteration.

A 30-second demo showcasing Micro-Agent generating tests and code for a TypeScript function.

Integration of Micro-Agent with Visual Copilot for AI-powered code generation from Figma designs.

The usefulness of Micro-Agent in building applications, games, and other software through its automatic iteration process.

Prerequisites for getting started with Micro-Agent, including Node.js, mpm, Python, and an LLM API key.

Instructions on installing the Micro-Agent framework globally and setting the API key for use.

How to start using Micro-Agent to generate or fix code and connect to a codebase for easier iteration.

Recommendation to try out Micro-Agent and links provided in the description for more information.

Invitation to follow on Twitter for updates and to check out Patreon for free AI subscriptions.