AutoDev

AutoDev is an innovative software framework designed to revolutionize the software development process by leveraging the capabilities of Artificial Intelligence (AI) to automate a wide array of software engineering tasks. It represents a paradigm shift in how developers interact with Integrated Development Environments (IDEs) and manage the software development lifecycle, from coding and testing to version control and deployment. Here's a detailed description of AutoDev, covering its design, functionalities, and how it integrates into the software development workflow:

Core Concept
AutoDev is built around autonomous AI agents that can perform diverse operations on a codebase. These operations include file editing, code retrieval, build processes, execution, testing, and git operations. By doing so, it aims to reduce the manual effort required from developers for repetitive and complex tasks, thus enhancing productivity and allowing them to focus on more creative aspects of software development.

Key Features and Functionalities
- Autonomous AI Agents: AutoDev employs AI agents capable of understanding complex software engineering objectives defined by users. These agents then autonomously execute tasks required to achieve these objectives, such as writing tests, fixing bugs, and optimizing code.
- Comprehensive Tools Library: The software includes customized tools that AI agents can use to accomplish various code-related and software engineering objectives, including file editing, code retrieval, build and execution, testing, git operations, and more.
- Agent Scheduler: This component allows for the scheduling and collaboration of multiple AI agents, enabling them to work together towards a common goal. It supports various collaboration algorithms to optimize the agents' performance and task completion efficiency. Evaluation Environment: AutoDev incorporates a secure, Docker-based environment for code execution, testing, and other operations. This isolated environment ensures that the development process is secure and that user privacy and file security are maintained.
- Conversation Manager: It features a conversation manager that tracks and manages the interactions between users and AI agents, including initializing the conversation, parsing commands, and organizing outputs to provide users with clear and structured feedback on the operations performed by the AI agents.

Security and Privacy
Recognizing the importance of security in software development, AutoDev confines all operations within Docker containers and incorporates guardrails to ensure user privacy and file security. Users can define specific permitted or restricted commands and operations within AutoDev, tailoring them to their specific security needs.

Integration and Usability
AutoDev integrates seamlessly into existing development workflows. It supports various IDEs and version control systems, making it a versatile tool for developers in different programming environments. Its user-friendly design ensures that developers can easily define objectives and monitor the progress of AI agents without needing to intervene manually.

Topic

Software Development, Version Control, Testing, Validation, and Verification, Automation and Workflow Management

Detail

  • Operation: Code Generation, Testing and Validation, Version Control Operations, Code Analysis, Build and Deployment, File Management, Security Assessment

  • Software interface: Command-line interface

  • Language: Kotlin, Rust, C++, C#, Hava, JavaScript, Scala

  • License: Mozilla Public License 2.0

  • Cost: Free

  • Version name: v1.7.1

  • Credit: Microsoft

  • Input: -

  • Output: -

  • Contact: mtufano@email.wm.edu

  • Collection: -

  • Maturity: Stable

Publications

  • AutoDev: Automated AI-Driven Development
  • Tufano, M., Agarwal, A., Jang, J., Zilouchian Moghaddam, R., and Sundaresan, N. (2024). AutoDev: Automated AI-Driven Development. arXiv preprint arXiv:2403.08299.
  • https://doi.org/10.48550/arXiv.2403.08299
  • PMID: -
  • PMC: -

Download and documentation


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