OpenDevin Tutorial (Open-Source Devin) - Build Entire Apps From a Single Prompt

This tutorial introduces OpenDevin, an open-source version of the impressive coding assistant Devon. The video demonstrates how to install and use OpenDevin, which allows users to build entire applications from a single prompt. It features an integrated interface with a terminal, browser, code editor, and agent dialogue. The tutorial covers setting up the environment, installing dependencies, and running the application both locally and through Docker. Despite some bugs and the need for further development, OpenDevin is gaining popularity and has a promising future as a tool for developers and non-developers alike to build code efficiently.

Takeaways

• 🚀 OpenDevin is an open-source version of Devon, which allows users to build entire applications from a single prompt.
• 🌟 The interface includes a terminal, browser, code editor, and agent dialogue, providing an integrated development environment.
• 🛠️ OpenDevin supports multiple models including OpenAI and Cloud 3, with the possibility to integrate open-source local models.
• 📱 A simple calculator app can be created and tested within the interface, showcasing the practicality of the tool.
• 🌐 The project has gained significant traction, becoming the number one trending app on GitHub with over 8,500 stars.
• 🔧 Installation involves cloning the repository, setting up a conda environment, and using Docker for a streamlined process.
• 🔄 Potential issues during installation may relate to Python package management, environment management, and Rust installation.
• 🔧 An OpenAI API key is required and can be exported as an environment variable or stored in an .env file for use within the software.
• 🔀 The project is still in its early stages with ongoing development and bug fixes, but it is already very usable.
• 🛠️ Users can contribute to the project by creating issues on the GitHub repository and potentially contributing to its development.
• 🎉 The tutorial encourages users to try OpenDevin and become part of its growing community, highlighting its potential to enhance productivity in coding.

Q & A

What is OpenDevin and how does it differ from the original Devon?

OpenDevin is an open-source version of Devon, a tool that can build entire code bases from a single prompt. Unlike the original Devon, which was closed source, OpenDevin allows users to see and contribute to the code, making it more accessible and customizable.

What are the main components of the OpenDevin interface?

The OpenDevin interface includes a terminal, a browser, a code editor, and a section for agent dialogue. It provides a comprehensive environment for coding, planning, and executing tasks.

How does OpenDevin support different AI models?

OpenDevin supports different AI models through a browser interface where users can select between various models such as OpenAI and Cloud 3. It also allows users to plug in an open-source local model if desired.

What programming language was used to create a simple calculator app in the tutorial?

Python was used to create a simple calculator app in the tutorial.

How can users run the calculator app built with OpenDevin?

Users can run the calculator app by executing the command 'python calculator.py' in the terminal or by spinning up a server and accessing the calculator through the provided local host URL.

What are some of the issues encountered during the installation of OpenDevin?

Some of the issues encountered during the installation include Python package management problems, environment management, and the need for Docker. Additionally, the tutorial mentioned the necessity of installing Rust for certain dependencies and dealing with potential issues related to 'ojson'.

How can users contribute to the OpenDevin project?

Users can contribute to the OpenDevin project by creating issues on their GitHub repository, suggesting improvements, or even adding new features. It's important to note that the project is in its early stages and contributions can significantly help its development.

What is the current status of the DEA project mentioned in the script?

As of the time the script was written, the DEA project, another open-source version of Devon, has not been successfully operational by the author of the tutorial. They have been trying to get it working and plan to create a tutorial video once they do.

How does OpenDevin handle the use of local models?

OpenDevin allows the use of local models by exporting the necessary environment variables such as the 'llm API key' and 'llm model'. It also enables the setting of a local base URL for the model, allowing for a completely local setup if desired.

What are the system requirements for running OpenDevin?

To run OpenDevin, you need to have Docker installed, as it uses a Dockerized environment for code execution. Additionally, you need to have Python with pip for package management, and Node.js with npm for front-end package management.

How does OpenDevin compare to other coding assistance tools?

OpenDevin is noted for its polished user interface and comprehensive environment that includes a terminal, browser, code editor, and agent dialogue. While not the first coding assistance tool, it aims to mimic and potentially surpass the capabilities and user experience of tools like the original Devon.

What are some potential next steps for users after installing OpenDevin?

After installing OpenDevin, users can start building applications using its interface. They can also explore contributing to the project, testing its capabilities with different programming tasks, and experimenting with local models or other AI services that offer compatible API endpoints.

Outlines

00:00

🌟 Introduction to Open Devon: A Revolutionary Coding Interface

The video begins with a nostalgic reference to a demo of Devon, a tool that could generate entire code bases from a prompt. What distinguished Devon was its all-in-one interface featuring terminal, browser, code editor, and agent dialogue. Despite its impressive capabilities, it was closed source. However, the presenter introduces Open Devon, an open-source version of the original, and proceeds to demonstrate its usage, starting with a simple calculator app. The interface is shown to be functional, supporting multiple models, and the presenter shares their experience with the tool, highlighting its ease of use and the impressive results obtained with minimal token expenditure. The presenter also notes that while Open Devon is new and may have bugs, its rapid development and popularity, with over 8.5k stars on GitHub, indicate a promising future.

05:01

🛠️ Setting Up and Installing Open Devon

The presenter provides a step-by-step guide on how to install Open Devon. They start by cloning the GitHub repository and setting up a new conda environment for the project. The viewer is then guided through the necessity of having Docker installed, as it simplifies the process of running code environments. Instructions are given to check Docker's installation, download it if necessary, and pull the required Docker image. The presenter also details the process of exporting the OpenAI API key for use within the software and setting the workspace directory. They then discuss the challenges faced during the installation process, particularly with Python package management and environment setup, and share solutions to these issues. Finally, they demonstrate how to install project requirements and address potential problems related to Rust and a specific dependency, o Json.

10:01

🚀 Running Open Devon and Exploring its Features

The presenter attempts to run the Open Devon server using uicorn and encounters an issue where the server fails to start. After resolving this by restarting the terminal, they successfully get the server running on localhost:3000. They then move on to setting up the front end by navigating to the 'frontend' directory and using npm to install necessary packages. Once the front end is ready, they demonstrate how to start the node server and access the Open Devon interface through a web browser. The presenter creates a simple 'Hello World' website using Open Devon and discusses some of the bugs and quirks they've noticed, such as issues with the planner and browser components. They also provide information on how to use different models, including a local open-source model, by exporting the appropriate environment variables. The video concludes with the presenter's enthusiasm for Open Devon's potential and a call to action for viewers to try it out, report issues, and contribute to the project.

Keywords

💡Open Source

Open source refers to a type of software whose source code is made available to the public, allowing anyone to view, use, modify, and distribute it. In the context of the video, OpenDevin is an open-source version of Devon, which means it can be freely accessed and contributed to by the developer community.

💡Code Bases

A code base is the collection of all the source code files for a particular software project. The video script mentions that the original Devon was impressive because it could generate entire code bases from a single prompt.

💡Terminal

The terminal, also known as command line interface (CLI), is a text-based interface for interacting with a computer system. In the video, the terminal is part of the interface that allows users to execute commands and see the output related to the development process.

💡Code Editor

A code editor is a type of software used for editing source code files. It typically provides features like syntax highlighting, line numbers, and error indicators to assist developers. The video showcases a code editor where viewers can see the code being written by the agent.

💡Docker

Docker is a platform that allows developers to build, ship, and run applications in containers. Containers are lightweight, portable, and self-contained environments that can run on any system. The video demonstrates using Docker to simplify the installation process of OpenDevin.

💡API Key

An API key is a unique identifier used to authenticate a user, developer, or calling program to an API. The video script includes a step where the user needs to export their OpenAI API key to use the services provided by OpenAI within the OpenDevin environment.

💡Environment Variables

Environment variables are a set of dynamic values that can affect the way running processes behave on a system. They are part of the environment in which a process runs. In the video, the OpenAI API key is saved as an environment variable for use with the software.

💡Uvicorn

Uvicorn is an ASGI server implementation, which is a standard for asynchronous Python web applications. It is used in the video to run the backend of the OpenDevin application, enabling it to handle web requests and serve responses.

💡Node.js

Node.js is a JavaScript runtime that allows developers to run JavaScript on the server side. It is used in the video to install and run the front-end part of the OpenDevin application, which deals with the user interface and client-side logic.

💡GitHub

GitHub is a web-based hosting service for version control using Git. It is primarily used for code collaboration and repository management. The video mentions GitHub as the platform where the OpenDevin project is hosted, and where users can find the source code, contribute, and report issues.

💡Calculator App

A calculator app is a software application that performs various arithmetic operations. In the video, the agent is prompted to write a simple calculator app using Python, demonstrating the capabilities of the OpenDevin tool to generate functional code from a verbal description.

Highlights

OpenDevin is an open-source version of Devon, which allows building entire applications from a single prompt.

OpenDevin features an impressive interface that includes a terminal, browser, code editor, and agent dialogue.

The project supports OpenAI and Cloud3, but also allows for the integration of open-source local models.

OpenDevin has already garnered over 8,500 stars on GitHub and is the number one trending app.

Despite being new, OpenDevin is highly usable with rapid feature development and bug fixes.

The tutorial demonstrates creating a simple calculator app using Python with just a few interactions.

OpenDevin can automatically test the code it generates, ensuring functionality.

The process of setting up OpenDevin involves cloning the repository, managing Python environments, and using Docker.

An open AI API key is required and can be easily exported as an environment variable or stored in an .env file.

Rust and its dependency, oJson, may need to be installed for certain functionalities in OpenDevin.

The tutorial provides detailed steps and troubleshooting tips for common issues encountered during installation.

OpenDevin allows for the use of various models, including locally run open-source models, by configuring API keys and endpoints.

The project aims to mimic the polished user interface and functionality of the original Devon.

OpenDevin has potential to greatly enhance productivity for both developers and non-developers in building code.

The tutorial encourages users to report issues and contribute to the OpenDevin GitHub repository.

The calculator app built with OpenDevin is showcased as a basic yet functional example of its capabilities.

The interface includes a planner that, while buggy, shows the potential for task organization within OpenDevin.

The tutorial walks through the process of creating a simple website with a 'Hello World' message using OpenDevin.