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Developer finds AI code suggestions often introduce errors

A developer shared their experience using ChatGPT and Gemini to troubleshoot issues with gsoap and Onvif protocols. They found that the LLMs often provided suggestions that led to more errors, requiring numerous attempts and careful code reversion to achieve a working solution. This led the developer to generally reject pull requests generated by AI tools due to their tendency to introduce unrelated changes. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Highlights potential pitfalls of relying on AI for code generation and debugging, suggesting careful human oversight is still crucial.

RANK_REASON Developer's personal experience and opinion on using AI tools for coding.

Read on Mastodon — fosstodon.org →

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 · [email protected] ·

    Was fighting gsoap and Onvif for a few days, getting everything to work together like it should. Decided to use both ChatGPT and Gemini to try and help me out s

    Was fighting gsoap and Onvif for a few days, getting everything to work together like it should. Decided to use both ChatGPT and Gemini to try and help me out since documentation and examples are scarce. Probably took over 100 attempts before I got everything right. Each time one…