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How I Study AI - Learn AI Papers & Lectures the Easy Way

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All SourcesarXiv
#SWE-Bench Verified

SWE-Universe: Scale Real-World Verifiable Environments to Millions

Intermediate
Mouxiang Chen, Lei Zhang et al.Feb 2arXiv

SWE-Universe is a factory-like system that turns real GitHub pull requests into safe, repeatable coding practice worlds with automatic checkers.

#SWE-Universe#software engineering agents#pull requests

daVinci-Dev: Agent-native Mid-training for Software Engineering

Intermediate
Ji Zeng, Dayuan Fu et al.Jan 26arXiv

This paper teaches code AIs to work more like real software engineers by training them in the middle of their learning using real development workflows.

#agentic mid-training#agent-native data#contextually-native trajectories

SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents

Intermediate
Yuhang Wang, Yuling Shi et al.Jan 23arXiv

Coding agents waste most of their tokens just reading giant files, which makes them slow and expensive.

#SWE-Pruner#context pruning#coding agents

Agentic Rubrics as Contextual Verifiers for SWE Agents

Intermediate
Mohit Raghavendra, Anisha Gunjal et al.Jan 7arXiv

The paper introduces Agentic Rubrics, a new way to check code fixes without running the code by creating a smart checklist from the project itself.

#Agentic Rubrics#Software Engineering Agents#Execution-free Verification

SWE-RM: Execution-free Feedback For Software Engineering Agents

Intermediate
KaShun Shum, Binyuan Hui et al.Dec 26arXiv

Coding agents used to fix software rely on feedback; unit tests give only pass/fail signals that are often noisy or missing.

#execution-free feedback#reward model#software engineering agents