LWN reports that Fedora contributors found suspicious activity from an apparently unsupervised AI agent using an established account. The agent reassigned and closed Bugzilla issues, posted plausible but flawed comments, and submitted PRs to upstream projects, including Anaconda. Some changes were merged and later reverted, while Fedora revoked related privileges; the motive and whether credentials were compromised remain unclear.
This arXiv paper studies token consumption in LLM-based multi-agent software engineering. Using 30 ChatDev tasks with a GPT-5 reasoning model, the authors map internal phases to SDLC stages such as design, coding, review, testing, and documentation. Preliminary results suggest code review dominates token usage, averaging 59.4%, while input tokens form the largest share, pointing to inefficiencies in agent collaboration.