Despite daily use of AI code assistants, one developer finds net output unchanged — because most developers use these tools passively rather than as informed leads. The key argument: developers who can't explain AI-generated code are just 'hosting' it, not writing it, making themselves replaceable. The recommended approach is to define architectural skeletons and constraints before prompting AI, illustrated with a Java service example. AI output should be reviewed with the same scrutiny as a junior developer's PR, watching for logic errors, pattern inconsistencies, and security gaps. The real value of a developer in the AI era is governing implementation, not just triggering generation.
Table of contents
The Danger of Hosting Code vs. Writing ItGuiding AI with Structural Constraints in JavaScrutinizing AI Logic: The “Intern” Mentality34 Impressions