A researcher conducted an investigation into the prevalence of Large Language Model (LLM) generated code within the F-Droid repository, analyzing a batch of 102 application updates pushed on September 12, 2026. Using a qualitative three-tier aesthetic assessment of GitHub and Codeberg repositories—categorized as "Mostly AI," "Mostly Human/Hard to say," and "No signs of AI"—the study identified that 64.7% (66 apps) were largely written by AI. The researcher identified "AI smells" such as the presence of agentic infrastructure (e.g., Claude Code or Codex), recent commits co-authored by models like Claude Opus, and specific UI/README patterns. Additionally, 12.7% of apps were difficult to categorize, while only 23.5% (24 apps) showed little to no evidence of AI involvement. The analysis noted specific trends, such as a developer named brandonp2412 maintaining multiple "vibe-coded" apps under various namespaces and a high concentration of AI-generated content among apps hosted on Codeberg. While the study did not perform a formal code quality analysis, the findings highlight a significant shift toward LLM-assisted development within the FOSS ecosystem.