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"There are too many risks associated with the use of AI in software development."
Is an increase in efficiency actually possible? We are already seeing initial studies indicating that experienced software developers can become up to 20% slower.
Furthermore, the complexity of the new systems conceals many contractual pitfalls.
The software development management team finds answers to technical considerations:
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Which AI should I send source code to?
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Ensure maintainability and readability
as well as organizational and strategic issues
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Avoid loss of competence
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Creating balance within the team
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technological dependency
The Head of Software Development sets the framework:
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clear rules on how and when AI tools may be used
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Guidelines for source code creation and testing
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"Human in the Loop" principle to prevent deviations from the guidelines
Team culture can also be activated for the use of AI.
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Training and mentoring on the use of AI (seniors mentor juniors)
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regular open exchange about experiences
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Definition of the toolset in joint workshops
