News [Phoronix] Gemini AI Yielding Sloppy Code For Ubuntu Development With New Helper Script

[LinuxBot]

A few weeks ago it was mentioned by a Canonical engineer how trying to use AI to modernize the Ubuntu Error Tracker yielded some code that was "plain wrong" and other issues raised by that Microsoft GitHub Copilot code. The same Ubuntu developer shifted to trying Gemini AI to generate a helper script to assist in Ubuntu's monthly ISO snapshot releases. Google's Gemini AI also generated some sloppy code for a Python script to assist in those Ubuntu releases...

Source: https://www.phoronix.com/news/Gemini-AI-Sloppy-Ubuntu

Aggregated via Linux News

 

[hasser33]

A few weeks ago it was mentioned by a Canonical engineer how trying to use AI to modernize the Ubuntu Error Tracker yielded some code that was "plain wrong" and other issues raised by that Microsoft GitHub Copilot code. The same Ubuntu developer shifted to trying Gemini AI to generate a helper script to assist in Ubuntu's monthly ISO snapshot releases. Google's Gemini AI also generated some sloppy code for a Python script to assist in those Ubuntu releases...

Using an AI meeting assistant brings clear benefits: AI suggestions during meetings help surface relevant talking points, follow-ups, and decisions in real time. It keeps discussions focused, reduces note-taking stress, and ensures nothing important gets missed. For busy teams, it’s a subtle yet powerful productivity boost.

That doesn’t really surprise me. AI tools are great at scaffolding ideas, but when it comes to production-grade system tooling like Ubuntu’s error tracking or ISO release scripts, they still lack deep context. They often generate code that looks plausible but misses edge cases, assumptions, or project conventions. For infrastructure and release engineering, correctness matters more than speed. AI can help with drafts or brainstorming, but human review is absolutely critical. Right now, these tools feel better as assistants—not replacements—for experienced engineers.