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Developer finds AI code suggestions often introduce errors

By PulseAugur Editorial · [1 sources] ·

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

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer finds AI code suggestions often introduce errors

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Developer's personal experience and opinion on using AI tools for coding.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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121 days old
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [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…

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