Agentless: An Agentless AI Approach to Automatically Solve Software Development Problems
How does AGENTLESS simplify the software development process?
AGENTLESS simplifies the software development process by departing from the conventional reliance on autonomous agents and employing a streamlined two-phase process of localization and repair3. It identifies specific files, classes, functions, and code lines requiring modification and generates multiple candidate patches for the identified edit locations. This method leverages the capabilities of large language models without requiring them to autonomously plan future actions or use complex tools, thus maintaining simplicity and cost-effectiveness.
What does software engineering encompass?
Software engineering encompasses the systematic design, development, testing, and maintenance of software systems. This involves tasks such as code synthesis, program repair, and test generation. It also includes the use of large language models (LLMs) for automating software development tasks and the continuous improvement of software quality and efficiency.
How have LLMs impacted software development tasks?
Large Language Models (LLMs) have significantly impacted software development tasks by enabling more sophisticated automation. They assist in code synthesis, program repair, and test generation, making the process more efficient and accessible. LLMs streamline the development process, enhance productivity, foster innovation, and reduce developer burnout3.