The Phantom Intern Is Already on Your Team
The Phantom Intern is the code that appears in your repository with no clear author, no review trail, and no institutional memory. It was generated, pasted, and committed. Now it's your problem, and you can't ask the author what they were thinking because the author is a statistical model.
This isn't a hypothetical. It's happening right now, in repositories you work in. A developer asks the model for a function, gets something that compiles, and commits it without attribution. Another developer copies a block of generated code into an existing module and moves on. A third asks the model to refactor something, accepts the output, and pushes it without recording what changed or why.
The result is code that has no owner. Nobody can explain the design decisions because no human made them. Nobody can vouch for the edge cases because nobody thought about them. And when something goes wrong — when the code fails in production, or when a security audit flags a vulnerability — the team discovers that they've been working alongside a colleague who never shows up to standup, never writes documentation, and never takes responsibility.
This is an excerpt from The AI Developer's Field Guide.