Artificial intelligence-generated code can range from a small completion to a complete feature implemented by an agent. The speed of production can exceed the time people need to understand, review and integrate the result.
Generated code should meet the same or stronger standards as human-written code. Teams need provenance, deterministic checks, security review and clear ownership because generation does not transfer responsibility from the organization deploying the software.
Why can artificial intelligence-generated code be difficult to review?
The reviewer may not share the reasoning that produced it, and agents can create larger changes faster than people can reconstruct their assumptions and intent.
Who is responsible for artificial intelligence-generated code?
The people and organization that accept, merge and deploy the code remain responsible for its functionality, security, licensing and maintenance.
