pull requests

System76 has announced that its COSMIC desktop projects will no longer accept code submissions containing LLM-generated content. The company behind Pop!_OS says pull requests relying on AI-generated code will be rejected, citing the problems such content has caused for developers. The move adds System76 to the growing list of open source projects drawing lines around AI use in contributions.

A new tool has been released that lets AI assistants scrape business data from Google Maps using the Model Context Protocol. The tool, showcased on Hacker News under the 'Show HN' format, connects Google Maps listings directly to language models so they can pull places, reviews and contact details on request. Early attention is coming from developers interested in automation and data-extraction workflows built around MCP.

Orbi, an AI coding agent, reportedly takes a GitHub issue and returns a reviewed, merged pull request, with one agent writing the fix and another handling review. A follow-up post examining the system's harness asks what its reviewer missed, suggesting developers are scrutinising how reliable the automated pipeline is. The discussion is drawing interest from the open-source and AI engineering communities.

A user has raised an improvement request for the Mastodon iPhone app, complaining that refreshing the feed requires an awkwardly long pull-down gesture. When reaching the end of the timeline, the swipe needed to load new messages is too tall to reach comfortably with a thumb, forcing users to shift their grip or use another finger. The feedback adds to ongoing discussion about small usability issues in the decentralized social network's mobile apps.

Developers are debating how to handle pull requests written with the help of AI coding agents. The discussion, circulating among programmers and engineering managers, asks how thoroughly reviewers should scrutinise such contributions, weighing whether agent-written code deserves the same depth of review as human work and what that means for team standards, trust and inclusive review culture.

A developer is offering a paid human second-pass review of AI-generated pull requests, and says they reviewed three AI-written PRs from public repositories before pitching the service, which they call Riven Desk. The idea taps into growing concern that AI-written code is being merged without careful human scrutiny. Commenters in programming and engineering communities appear engaged with the question of how much review AI code actually needs.

System76, the Linux hardware and software company, will no longer accept LLM-generated content in pull requests for its COSMIC desktop environment project. The move means code submissions flagged as AI-generated will be rejected. The decision reflects a broader debate in open-source development, where maintainers are increasingly pushing back on low-quality or unreviewable AI-generated contributions flooding their queues.

Bevy contributor Alice Cecile is working another late night on the Bevy merge train, the process of reviewing and landing community-approved pull requests into the open-source Rust game engine. She notes flexible schedules are a mixed blessing and is writing a series of free-form posts about the realities of open-source engine development.