c-CRAB benchmark shows state-of-the-art code review agents solve only around 40% of tasks derived from human reviews, suggesting potential for human-AI collaboration.
Zhang, Se- bastian Baltes, and Christoph Treude
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 5years
2026 5verdicts
UNVERDICTED 5roles
background 1polarities
background 1representative citing papers
Analysis of 10K GitHub repositories shows standardization of README.md, .gitignore and LICENSE, dominance of GitHub Actions, shift toward YAML/JSON/TOML, growth of Dockerfiles, and early LLM-related files.
Developers are already embedding guidance on fairness, accessibility, sustainability, tone, and privacy into repository-level files for AI agents, creating a developer-authored governance layer.
Comparative review of AI coding tool ToS shows responsibility for code quality and compliance shifted to users, with policy misalignment for autonomous agents, plus a research roadmap.
Agentic Agile-V uses Agile-V as backbone and a Specify-Constrain-Orchestrate-Prove-Evolve-Verify loop to convert AI agent conversations into traceable engineering artifacts with acceptance evidence.
citing papers explorer
-
Code Review Agent Benchmark
c-CRAB benchmark shows state-of-the-art code review agents solve only around 40% of tasks derived from human reviews, suggesting potential for human-AI collaboration.
-
What's Inside a GitHub Repository? An Empirical Study on the Contents of 10K Projects
Analysis of 10K GitHub repositories shows standardization of README.md, .gitignore and LICENSE, dominance of GitHub Actions, shift toward YAML/JSON/TOML, growth of Dockerfiles, and early LLM-related files.
-
Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
Developers are already embedding guidance on fairness, accessibility, sustainability, tone, and privacy into repository-level files for AI agents, creating a developer-authored governance layer.
-
Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap
Comparative review of AI coding tool ToS shows responsibility for code quality and compliance shifted to users, with policy misalignment for autonomous agents, plus a research roadmap.
-
Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development
Agentic Agile-V uses Agile-V as backbone and a Specify-Constrain-Orchestrate-Prove-Evolve-Verify loop to convert AI agent conversations into traceable engineering artifacts with acceptance evidence.