Beyond Isolated Tasks: A Framework for Evaluating Coding Agents on Sequential Software Evolution

1. 1Generate sequential software evolution tasks using the automated coding task generation framework
2. 2Evaluate coding agents on long-horizon tasks that capture the accumulation of code changes and technical debt over time
3. 3Analyze the performance of coding agents on tasks with growing test suites and evolving software requirements
4. 4Use the SWE-STEPS dataset to fine-tune and improve the coding agents' capabilities

Software engineers and AI researchers on a team benefit from this framework as it helps evaluate coding agents in real-world software development scenarios, allowing them to improve the agents' performance and adaptability

💡 Evaluating coding agents on isolated tasks is not enough; they need to be tested on long-horizon tasks that mimic real-world software development

🚀 Evaluate coding agents on sequential software evolution tasks with SWE-STEPS dataset 💻