Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull Requests
cs.SE, cs.AI
Submitted: 2026-10-09
Updated: 2026-10-09
Comments: 21 pages, 2 figures
Code: https://github.com/kubernetes-sigs/devops-bench
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Evaluating Large Language Models Trained on Code
- Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study
Related papers
- Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits
- GitSkills: A Dataset of Agent Skills on GitHub
- SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
- PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
- IntentCoding: Amplifying User Intent in Code Generation
- Incentives and Outcomes in Bug Bounties