Papers
1–3 of 3Research Paper·Mar 13, 2026
daVinci-Env: Open SWE Environment Synthesis at Scale
Training capable software engineering (SWE) agents demands large-scale, executable, and verifiable environments that provide dynamic feedback loops for iterative code editing, test execution, and solu...
8.0 viability
Research Paper·Mar 16, 2026
SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
Agent skills, structured procedural knowledge packages injected at inference time, are increasingly used to augment LLM agents on software engineering tasks. However, their real utility in end-to-end ...
7.0 viability
Research Paper·Jan 29, 2026
SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents
Test-time scaling has been widely adopted to enhance the capabilities of Large Language Model (LLM) agents in software engineering (SWE) tasks. However, the standard approach of repeatedly sampling tr...
2.0 viability