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

Papers3

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#regression testing

SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration

Intermediate
Jialong Chen, Xander Xu et al.Mar 4arXiv

SWE-CI is a new benchmark that tests how well AI coding agents can keep a codebase healthy over many changes, not just fix one bug.

#SWE-CI#continuous integration#code maintainability

Not triaged yet

Position: Agentic Evolution is the Path to Evolving LLMs

Intermediate
Minhua Lin, Hanqing Lu et al.Jan 30arXiv

Big AI models do great in the lab but stumble in the real world because the world keeps changing.

#agentic evolution#A-Evolve#deployment-time adaptation

Not triaged yet

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

Intermediate
Minh V. T. Thai, Tue Le et al.Dec 20arXiv

SWE-EVO is a new test (benchmark) that checks if AI coding agents can upgrade real software projects over many steps, not just fix one small bug.

#SWE-EVO#software evolution#coding agents

Not triaged yet