ChatGPT Use Sparks Code Development Risks
While there are substantial efficiency benefits from using AI-generated code in the development process, it must be tested to minimize risks.
4 Min Read
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At a Glance
- IT leaders should prioritize human oversight and continuous monitoring and combine these measures with testing, code reviews.
- Organizations should leverage AI-generated code as a starting point but tap human developers to review and refine the code.
- A survey of 500 US developers found more than 67% of respondents admitted to pushing code to production without testing.
Pushing AI-generated code without proper testing can lead to several risks and consequences for organizations.
Untested code may introduce bugs and errors, leading to crashes and poor performance, may not meet quality standards or best practices nor adhere to regulatory standards and compliance requirements, potentially causing legal and financial repercussions.
To ensure high-quality code, IT leaders should prioritize human oversight and continuous monitoring and combine these measures with thorough testing and code reviews, ensuring AI-generated code aligns with security protocols.