arXiv:2508. 12232v5 Announce Type: replace-cross Abstract: Issue-to-commit link recovery in software repositories is fundamental to software traceability and project management, yet it remains a challenging task.
By Arshia Akhavan, Alireza Hoseinpour, Abbas Heydarnoori, Hamid Bagheri, Mehdi Keshani
GitHub Models is now retired I missed this news until today, when the GitHub Actions run for my simonw/research repository failed with this error message: GitHub Models is temporarily unavailable as part of a scheduled retirement brownout. That message is already stale, because the retirement has been completed.
The article recounts a challenging debug session that was significantly aided by an AI assistant. Despite the AI initially claiming the problem was unsolvable and suggesting a report be written instead, it persisted, adding debug code and analyzing it as the author pushed forward. Ultimately, the author credits the AI with writing the commit message for the fix.
arXiv:2607. 13111v1 Announce Type: cross Abstract: Distinguishing semantic-preserving commits from changing ones remains an open challenge in software repository mining.
By Maha Ayub, Michael Konstantinou, Ahmed Khanfir, Nikolaos Tsantalis, Mike Papadakis
The release of llm 0.36 introduces new OpenAI models gpt-6-sol and gpt-6-luna, and adds support for model plugins to declare that they do not support conversations via supports_conversation = False. When such models receive assistant or tool history, llm raises a ConversationNotSupported error and the chat interface rejects them before starting a session. Additional changes include wrapping reasoning traces in Markdown output with <details> tags and bug fixes from five contributors.
The paper investigates how large language models (LLMs) can propose changes to Kubernetes configuration files in a GitOps workflow. It shows that having the model directly generate edited files or diffs is unsafe for unattended automation, as current text‑generation strategies either fail to apply patches or silently misapply them. The authors propose a deterministic, minimal‑diff approach where the model emits only a structured intent for a field change, and a pipeline locates and replaces the exact character span in the raw YAML, preserving formatting and comments while guaranteeing correctness and O(1) generation cost.
By Pruthvi Davineni