AutoDev introduces a groundbreaking AI-driven development framework designed for comprehensive and autonomous software engineering tasks. By employing autonomous AI agents for tasks such as file editing, build processes, and testing, AutoDev sets a new standard in automating software development, ensuring a secure, user-controlled environment. Its evaluation on the HumanEval dataset demonstrates significant effectiveness, making it a compelling solution for modern software development challenges.

Main Points

AutoDev's comprehensive capabilities

AutoDev aims to cover the limitations of existing AI-powered assistants in IDEs by providing a comprehensive framework for autonomous software development tasks.

Security measures in AutoDev

AutoDev’s framework ensures user privacy and file security by confining operations within Docker containers.

Evaluation results of AutoDev

AutoDev was evaluated on the HumanEval dataset, showing high effectiveness in automating software engineering tasks.

Insights

AutoDev is a fully automated AI-driven software development framework designed for planning and execution of complex software engineering tasks.

AutoDev enables users to define complex software engineering objectives which are achieved through autonomous AI Agents. These agents can perform diverse operations including file editing, build processes, and testing, confined within Docker containers to ensure security.

AutoDev demonstrates high effectiveness in automating software engineering tasks with promising evaluation results.

In evaluations on the HumanEval dataset, AutoDev achieved 91.5% and 87.8% Pass@1 scores for code generation and test generation respectively, highlighting its capability in automating software engineering tasks while ensuring a secure environment.

The introduction of AutoDev shifts the developer's role from manual code validation to overseeing AI-driven task execution.

With AutoDev, developers transform into supervisors of AI agents, focusing on overseeing multi-agent collaboration and providing feedback instead of manually executing and validating code.

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URL

https://arxiv.org/html/2403.08299v1
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