Hang on, you're framing this like AI is already outperforming seniors on SWE-Bench, but that's not the full story. Those benchmarks test isolated bug fixes in well-documented repos with clear test suites. That's not real-world software engineering.
The thing is, juniors aren't just cheap labor. They're the ones who ask "why are we doing it this way?" and uncover five layers of undocumented assumptions. That messy human process is exactly what builds the intuition seniors rely on later. You can't shortcut that with a model trained on clean GitHub commits.
And let's be real - who's going to review the AI's code? Another AI? That's how you end up with cascading errors no human understands. You need juniors to learn the system, fail safely, and eventually own it. AI agents might help them be more productive, but replacing them entirely? That's how you starve your engineering org of future talent.
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