‘Speed without control is a liability, not an advantage': GitLab study reveals AI code generation is…
- Stduy claims AI adoption outpaces governance, creating long-term code maintainability challenges
- Saved developer time is now being spent on reviewing, validating and governing AI
- Accountability and trust are now more important than speed and productivity
Even though 91% of organizations have two or more AI coding tools in active use, four-fifths (79%) of the more than 1,500 developers surveyed by GitLab believe software delivery hasn’t accelerated at the same pace as developer productivity, implying challenges along the workflow could be diminishing returns.
Around three in four believe developers are writing code faster (78%) and producing higher-quality code (73%), but a new report from the coding platform believes there’s much more to AI than speed alone.
GitLab describes this as an ‘AI paradox’, where developer time is being taken up reviewing, validating and governing AI despite its promised productivity impacts.
Is AI just shifting problems downstream?
In fact, 85% agree that...
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